SPOILER: Scorelijst voor December 2017Om spoilers te kunnen lezen moet je zijn ingelogd. Je moet je daarvoor eerst gratis Registreren. Ook kun je spoilers niet lezen als je een ban hebt.SPOILER: Scorelijst sinds begin spel tot 8-1-2018Om spoilers te kunnen lezen moet je zijn ingelogd. Je moet je daarvoor eerst gratis Registreren. Ook kun je spoilers niet lezen als je een ban hebt.Oudere seizoenen
Een seizoen bestaat uit 1 maand en begint op de 1ste post op de 1ste dag van de maand. Nadat een seizoen afloopt worden de scores weer op nul gezet. Dit om er voor te zorgen dat iedereen een kans heeft om te winnen.
Winnaars:
Seizoen 1: Haags_kwartiertje
Seizoen 2: Haags_kwartiertje
Seizoen 3: Dr.Mikey
Sta je niet in deze lijst van UI's maar zou je dit wel willen? Schroom niet dit te vragen aan de immer welwillende TS; sta je wel in deze lijst maar wil je hieruit, dan heb je pech.
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[ Bericht 0% gewijzigd door murp op 17-01-2018 13:38:25 ]Uw ADH vitamine Worst
Met vriendelijke groenten![]()
Jaquote:Op dinsdag 16 januari 2018 23:11 schreef devzero het volgende:
Gelukkig geen pies en poep TT. Zo kinderachtig zijn we hier ook weer niet.Uw ADH vitamine Worst
Met vriendelijke groenten![]()
RamBam bij studenten verenigingen.They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
niks aan, niks schokkends aanquote:
zware ontgroeningen bij het corps oh wow wat schokkend, al eeuwen bekendUw ADH vitamine Worst
Met vriendelijke groenten![]()
niet normaalquote:Op dinsdag 16 januari 2018 23:32 schreef hemarookworst het volgende:
[..]
niks aan, niks schokkends aan
zware ontgroeningen bij het corps oh wow wat schokkend, al eeuwen bekend![]()
ik wil het niet goed praten, maar het is iets wat al lang bekend isquote:Uw ADH vitamine Worst
Met vriendelijke groenten![]()
de vraag is of het normaal is?quote:Op dinsdag 16 januari 2018 23:33 schreef hemarookworst het volgende:
[..]
ik wil het niet goed praten, maar het is iets wat al lang bekend is
ik vind het nogal debiel![]()
RoeeeeeeeeeeeeeeeeeeeeeeeeeeeeeltjeThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
hoiquote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
The Advocacy Coalition Framework is one of the most influential approaches to public
policy to emerge from the 1990s. It is highly cited and its approach has been used in over
80 studies of public policy, primarily in the US but also in a wide range of developed
countries. It is one of a small number of prominent approaches developed in the US
after Heclo’s (1978: 94–7) famous identification of a departure from the simple “clubby
days of Washington politics” toward “complex relationships” among a huge, politically
active population. Issues which were once “quietly managed by a small group of insiders”
have now become “controversial and politicized” (Heclo 1978: 105). Its key aim is to
make sense of such complex policy-making systems which:
• contain multiple actors and levels of government;
• process policy in very different ways, from intensely politicized disputes containing
many actors in some areas, to issues that are treated as technical or specialist
and processed routinely, largely by policy specialists, out of the public spotlight;
• produce decisions based on limited information and often high levels of uncertainty
and ambiguity; and
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• take considerable time (perhaps “a decade or more”) to turn decisions into
outcomes.
The ACF is distinctive in a number of ways. First, it is relatively ambitious, seeking
to produce what we might consider to be the closest thing to a general theory of
policy-making. Second, it has been subject to an unusually high number of revisions
in the light of experience and a desire to extend its insights beyond the US. Third, the
framework is largely predicated on the idea that people engage in politics to translate
their beliefs, rather than their simple material interests, into action. Consequently, at its
heart is a system in which coalitions of actors with different belief systems interact and
compete to dominate policy subsystems. Fourth, the description of subsystems appears
to be different from most conceptualizations of policy communities or networks,
which often describe the great potential for insulated relationships between groups
and government (Cairney 2012: 203). Rather, a wide range of actors are involved within
each coalition. Fifth, it represents not only an approach to the study of contemporary
public policy but also a set of ideas about how we should conduct scientific inquiry. For
example, its rejection of the use of cycles and stages to explain policy-making is based
as much on scientific criteria as conceptual or empirical concerns. Consequently, its
proponents—and Paul Sabatier in particular—have influenced the discussion of public
policy as a discipline and a branch of science.
A Summary of the ACF
An advocacy coalition contains “people from a variety of positions (elected and agency
officials, interest group leaders, researchers) who share a particular belief system—i.e.
a set of basic values, causal assumptions, and problem perceptions—and who show
a non-trivial degree of coordinated activity over time” (Sabatier 1988: 139). The ACF
focuses on the interaction between competing advocacy coalitions within a policy
subsystem which, in turn, operates within a wider political system and external environment.
Its description of subsystems paints a picture of a relatively open, multi-level
policy-making system:
Our conception of policy subsystems should be broadened from traditional notions
of iron triangles limited to administrative agencies, legislative committees, and
interest groups at a single level of government to include actors at various levels
of government, as well as journalists, researchers and policy analysts who play
important roles in the generation, dissemination, and evaluation of policy ideas.
(Jenkins-Smith and Sabatier 1993a: 179)
This picture results partly from a focus on the role of ideas in policy-making—actors
may be influential because they articulate important ideas, not simply because they
can exercise power. It focuses in particular on the importance of belief systems: many
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actors may be influential because they share a set of beliefs with a large number of others;
translating those beliefs into policy decisions and outcomes is a common project.
Beliefs are the “glue” that keeps a large number of actors together. There are three
main types:
• Deep Core Beliefs. These regard an actor’s “underlying personal philosophy,”
often expressed as a point on the left/right-wing continuum (Sabatier 1993: 30).
Examples include: beliefs on whether people are evil or socially redeemable; how
we should rank values such as freedom and security; and whose welfare should
count the most (Sabatier, 1998: 103).
• Policy Core Beliefs. These regard “fundamental policy positions.” Examples
include: the proper balance between government and market and the proper distribution
of power across levels of government (Sabatier 1993: 31; 1998: 110).
• Secondary Aspects. These relate to the funding, delivery, and implementation of
policy goals (1993: 31).
Core beliefs span most policy areas and are the least susceptible to change in light of
empirical evidence (“akin to a religious conversion”—Sabatier 1993: 31, 36). They are
too broad to guide policy-specific behavior. Instead, policy core beliefs are employed
within particular subsystems. Although policy core beliefs are more susceptible to
change, they are generally stable within the period of study (over the period of one policy
cycle of a “decade or so”—Sabatier and Weible 2007: 193). Any “enlightenment function”
may take place over decades because beliefs are “primarily normative—and thus
largely beyond direct empirical challenge” (Sabatier 1993: 44). In most cases, change
refers to “secondary aspects,” when beliefs on the routine delivery of specific policies
are refined according to new information (1993: 31, 221).
Coalitions interact within policy subsystems, defined simply as a broader “set of
actors who are involved in dealing with a policy problem” (Sabatier 1988: 138). It includes
varying number of coalitions (usually from one to four), policy “brokers,” whose role
is to minimize conflict and produce workable compromises between coalitions, and
a “sovereign” or “government authority” to make policy decisions and oversee the
policy-making infrastructure. Although there is generally more than one coalition, it
is not unusual for one coalition to dominate the subsystem for long periods or for a
negotiated settlement to favor the beliefs of one coalition. Further, although brokers
and sovereigns are separated analytically, it is often difficult to know where coalitions
end and policy-makers begin, since governmental organizations may often appear to
hold, and act on, beliefs consistent with those of a particular advocacy coalition.
Policy subsystems exist within a wider system (Figure 33.1) that sets the parameters
for action and provides each coalition with different constraints and opportunities. It
includes:
• factors that are “relatively stable” over the time period generally studied (a “decade
or more”), such as “social values” and the broad “constitutional structure”;
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• the “long term coalition opportunity structures” related to the nature of political
systems—e.g. are there multiple, open venues or a small number of centralized
processes? Do governments control majorities or need to cooperate with other
parties?; and,
• “external (system) events,” such as socioeconomic change, a change in government,
or the impact from decisions made in other subsystems.
Although the ACF is built on a critique of the “stages heuristic” (to be discussed
shortly), it still focuses on change over a “decade or more” to allow (albeit notionally)
for a full policy cycle. Coalitions interact, a decision is made, institutions are set up or
modified, the impacts of policy outputs are evaluated, and the information is interpreted
differently by each coalition learning from previous decisions and adapting
their strategies (in line with that new information and external events) during the
next cycle.
There are two main sources and types of change in this framework (if we exclude
major changes to coalitions following an “enlightenment function” that may take
decades to occur). The first is relatively minor policy change that takes place within
subsystems: coalitions engage in policy learning, adapting the secondary aspects of
their belief systems in light of new information. Learning has a particular meaning
POLICY SUBSYSTEM
Coalition A
a. Policy belief
b. Resources
a. Policy belief
b. Resources
Policy Coalition B
brokers
Strategy
regarding guidance
instruments
Strategy
regarding guidance
instruments
Decisions by
governmental authorities
Institutional rules, resource
allocations, and appointments
SHORT-TERM
CONSTRAINTS AND
RESOURCES OF
SUBSYSTEM ACTORS
2007 Advocacy Coalition Framework Flow Diagram
LONG-TERM COALITION
OPPORTUNITY
STRUCTURES
1. Overlapping societal
cleavages
2. Degree of consensus
needed for major
policy change
RELATIVELY STABLE
PARAMETERS
1. Basic attributes of the
problem area (good)
2. Basic distribution of
natural resources 3. Fundamental
sociocultural values and
social structure 4. Basic constitutional
structure (rules)
EXTERNAL (SYSTEM)
EVENTS
1. Change in socio
economic conditions
2. Change in public
opinion
3. Changes in systemic
governing coalition
4. Policy decisions and
impacts from other sub
systems
Policy impacts
Policy outputs
Fig. 33.1 The ACF Flow Diagram (2007 version)
Source: Weible et al. 2009: 123
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in the ACF (compare with other forms of learning described by Bennett and Howlett
1992). It takes place through the lens of deeply held policy beliefs; coalitions learn
on their own terms—selecting the information they hold to be most relevant and
acceding only to change which does not undermine the coalition’s main source of
cooperation.
Coalitions also engage in a form of learning to adapt to the beliefs of another coalition,
particularly when its views become “too important to ignore” (Jenkins-Smith
and Sabatier 1993b: 43). However, they do not simply accept the arguments of other
coalitions and adopt their preferred policies. Learning is a political process and “not
a disinterested search for ‘truth’” (Jenkins-Smith and Sabatier 1993b: 45; Sabatier
1988: 151). Information on the success of policy is limited and subject to framing by
each coalition. In some cases, there are commonly accepted ways to measure policy
performance. In others, it is a battle of ideas which takes place in the context of a
tendency of coalitions to “exaggerate the influence and maliciousness of opponents”
(Weible 2007: 99). Technical information is often used “primarily in an ‘advocacy’
fashion” (Jenkins-Smith and Sabatier 1993b: 45; Sabatier 1988: 152) and a dominant
coalition can successfully challenge the data supporting policy change for years
(Sabatier 1998: 104). This process generally does not produce major changes in policy
or the balance of power between coalitions. Rather, coalitions interpret and frame
new information in line with their core and policy beliefs. In most cases, learning
follows the routine monitoring of policy implementation, as members consider how
policy contributes to positive or unintended outcomes and whether their beliefs
regarding the best way to solve the policy problem are challenged or supported by the
evidence.
The second is relatively major change prompted largely by external events. Events
may set in motion “internal” or “external shocks” to subsystems, with the potential
to alter coalitions and the balance of power between them. An internal shock
relates to the effect of major external change on a coalition’s belief system, akin to a
crisis of confidence. The event prompts a coalition to revisit its policy core beliefs,
perhaps following a realization by many actors that existing policies have failed
monumentally, and their consequent departure to a different coalition. An external
shock has the added element of coalition competition—another coalition uses the
experience of a major event to reinforce its position within the subsystem, largely
by demonstrating that its belief system is best equipped to interpret and solve the
policy problem. In other words, the major event is not enough to cause an external
shock; it also has to be exploited successfully by a competing coalition which is
better equipped to learn and adapt. Such processes may vary, from the election of
a new government with beliefs that favor one coalition over another, to a “focusing
event” such as an environmental crisis that undermines the ability of a coalition
to defend current policy or allows another coalition to successfully redefine
the policy problem and seek new solutions. In each case, some coalitions may be
a source of stability and there is a process of mediation within subsystems. While
many of these external factors—such as global recession, environmental crises,
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and demographic changes—appear to have an independent causal value, coalitions
influence how sovereigns understand, interpret, and respond to them. External
events provide new resources to some coalitions. It is then up to those coalitions to
use them.
In other words, coalitions have to exercise power effectively to maintain or
improve their positions within subsystems. This regards a mix of resources available
to them—resources to gather and interpret information, the weight of public opinion
and their ability to rally active public support, their funding—and the skillfulness
of their leadership (Sabatier 1993: 29; Weible 2006: 99–100; Sabatier and Weible
2007: 201–3).
ACF Expansion and Revision
The ACF is based on a “Lakatosian” approach to science (Jenkins-Smith, in correspondence,
2010; Cairney 2012: 219). In effect, the ACF as a scientific project resembles
an advocacy coalition: secondary aspects are amended in the light of empirical
testing, while the core remains relatively insulated and the policy core is unlikely to
change in the absence of a monumental failure to explain its object of study (Cairney
2013). As in an advocacy coalition, its main authors are unlikely to reject the ACF as
a broad understanding of the policy-making system, but they are more likely than
most policy scholars to revise certain aspects of their theory in the light of experience.
There is a difficult balance to maintain: a “Popperian” attachment to falsifying
hypotheses derived from the theory operates alongside a theory that is revised to
maintain its value.
This revision process has taken place regularly since 1993 and the ACF flow diagram
in Figure 33.1 differs markedly from the original model derived from studies of the US
(in areas such as environmental policy). Sabatier and Jenkins-Smith’s review sought to
clarify:
• the role of administrative organizations (as potential members of coalitions but
also relatively subject to belief-change following a change of government) and
“hierarchically superior jurisdictions” which may, in rare cases, override subsystem
policy in the face of opposition from the dominant coalition (1993: 217;
Sabatier 1998: 119);
• the impact of technical information on policy (Sabatier and Jenkins-Smith
1993: 219);
• the difference, within policy core beliefs, between “normative precepts” that are
unlikely to change, and “precepts with a substantial empirical content” that are
more likely to change in the light of new evidence (Sabatier and Jenkins-Smith
1993: 220–1); and,
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• that an external event will not cause subsystem change unless at least one coalition
has the skill to exploit its new opportunity (Sabatier and Jenkins-Smith
1993: 222).
Further revisions were prompted by the rise in ACF applications to countries other
than the US. For example, the relative subsystem stability may only apply to “mature”
subsystems and they may not yet have developed in “nascent” subsystems (Sabatier
1998: 110–14; Sabatier and Weible 2007: 192). Sabatier and Weible (2007: 199) also sought
to address wider criticisms:
that it is too much of product of its empirical origins in American pluralism. It
makes largely tacit assumptions about well-organized interest groups, missionoriented
agencies, weak political parties, multiple decision making venues, and the
need for supermajorities to enact and implement major policy change.
The ACF diagram was revised to reflect: (a) the generally higher “degree of consensus
needed to institute a major policy change” in political systems with proportional
representation elections and a norm of minority or coalition government
(Sabatier 1998: 121; Sabatier and Weible 2007: 200); and (b) the often-lower availability
of multiple, open venues in “corporatist” systems characterized by centralized
decision-making, restricted to a small number of leaders of business groups and
unions (2007: 200). Both factors combine to produce the relatively new “long-term
coalition opportunity structures” box in Figure 33.1. The main authors also generally
advise caution when applying the ACF to countries in which we might make
different assumptions about, for example, the role of the civil service (only some
countries have politically appointed bureaucrats), the relationships between levels
and types of government (not all countries have a US-style constitution setting out
their respective responsibilities), and the balance of power between political parties
(Sabatier 1998). A combination of such factors suggests that subsystems, as the main
focus of analysis, can be defined in quite different ways in different systems (Cairney
2012: 214).
A further major revision by Sabatier and Weible (2007: 204–7) identified two
sources of policy change: the distinction between internal and external shocks,
already described, and “alternative dispute resolution”, which refers to the conditions
(including a widespread recognition of stalemate, a process that includes
stakeholders who respect a neutral chair, and an ability to resolve issues empirically)
in which major policy change can result from negotiated agreements between
“previously warring coalitions” (2007: 205–7). More recent revisions include
attempts to provide better descriptions of the role of public opinion, from simply
being subsumed under “socioeconomic conditions” as a source of external constraint,
towards treating it as a resource to be used and manipulated by coalitions
(Jones and Jenkins-Smith 2009: 39).
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How the ACF has Shaped
Thinking and Research
According to John (2003: 481), the ACF was one of two approaches (alongside punctuated
equilibrium theory) to mark a ““punctuation” in thinking about public
policy.” Its most famous exposition (Sabatier and Jenkin-Smith 1993) has been cited
over 2,200 times and several related works have been cited from 1,200 to 1,870 times
in the last 15–20 years. It has produced over 80 applications in publications by the
authors, their colleagues, and other inspired scholars (Weible et al. 2009) and is now
an almost-automatic inclusion in textbooks and overviews of the policy literature
(including Birkland 2005; Cairney 2012; John 2012; Smith and Larimer 2009). It has
been used regularly to explain policy-making outside the US: in the European Union
and some member states; in countries such as Canada, Australia, Sweden, and Japan;
and, in fewer cases, Africa, South America, and Asia (Sabatier and Weible 2007: 217–20;
Weible et al. 2009: 125). Some of the most cited examples include: forestry policy (Elliott
and Schlaepfer 2001a, 2001b); drug policy in Switzerland (Kübler 2001); California
marine protected area policy (Weible 2006), and the US President’s National Economic
Council (Dolan 2003).
However, such applications have been limited in two main ways. First, most ACF
case studies “remain within environmental and energy policies” (Weible et al.
2009: 125) which could exaggerate, for example, the importance of the European Union
(environmental policy is the most Europeanized, compared to areas such as health
and education with often-minimal EU involvement) and international cooperation or
international organizations (Litfin 2000).
Second, the ACF is often applied in a rather loose way, often without adopting the
methods, recommended by its main authors (Jenkins-Smith and Sabatier, 1993c), that
tend to be used by authors who became closely associated with the ACF (e.g. see Weible
2007: 104; Zafonte and Sabatier 2004). The ACF may be used, as part of a desktop exercise,
to provide one of many conceptual perspectives on an empirical case study that
has been produced relatively independently of the ACF method (Cairney 2013: 9). Case
studies may be “ACF-inspired” without testing any of its hypotheses (Weible et al.
2009: 128)—a limitation that may seems particularly problematic for a framework
designed to generate hypotheses to allow confirmation or revision.
That said, many of the 80 studies covered by Weible et al. (2009) confirm that a major
external event is a necessary but insufficient condition for major subsystem change (18
studies) and that it often, but not always, prompts a significant number of members to
defect to other coalitions (13 studies). Others (20 studies) broadly confirm that policy
learning across coalitions tends to be more likely in less contentious areas with relatively
high potential to resolve issues empirically. In other words, despite these limitations,
the ACF has still been subject to an unusually high amount of testing in a field
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(political science and public policy) that has not produced many studies in which people
examine the world using a common framework organized by a small number of
scientists (other examples include the Policy Agendas Project (PAP), <http://www.policyagendas.org>,
and the Institutional Analysis and Development Framework (IAD),
Poteete et al. 2010).
The ACF and Science
A further aspect of the ACF’s influence is that represents not only an approach to the
study of contemporary public policy but also a set of ideas about how we should practice
science. The ACF itself was generally modeled on a “Lakatosian” approach to science
and Paul Sabatier (1999, 2007) in particular sought to use some of these ideas about
the scientific study of policy-making to set the agenda for the evaluation—and possible
combination or rejection—of the most popular theories of public policy.
Sabatier (2007b: 330; 1999) highlights three main advantages to the use of multiple
theories: it provides “some guarantee against assuming that a particular theory is the
valid one”; it shows us that “different theories may have comparative advantages in different
settings”; and, the knowledge of other theories “should make one much more
sensitive to some of the implicit assumptions in one’s favoured theory.” He then outlines
a set of principles that can be used to decide how useful a theory might be in general
or in particular situations. A similar approach was used by Eller and Krutz (2009)
in a special issue of the Policy Studies Journal.
It is important not to enforce this set of criteria too strongly. For example, Cairney
(2013: 10) combines their (Sabatier 2007b; Eller and Krutz 2009) arguments to produce
a simple set of principles for scientific comparison:
1. A theory’s methods should be explained so that they can be replicated by others.
2. Its concepts should be clearly defined, logically consistent and give rise to empirically
falsifiable hypotheses.
3. Its propositions should be as general as possible.
4. It should set out clearly what the causal processes are.
5. It should be subject to empirical testing and revision.
As stated, these principles are difficult to live up to fully (indeed, it is debatable if even
the ACF lives up to them—Cairney 2013: 10). They have the potential to present a misleading
picture of scientific research, ignoring the extent to which studies are generally
not replicated (we accept a large number of findings on trust); people follow different
rules and engage on different terms when discussing research (without a way for us to
decide which terms are the most appropriate); and a complex world does not allow us to
falsify hypotheses in a straightforward way (if at all). In other worlds, there in an inescapably
subjective element to scientific research in which we pursue our beliefs, and
confirm or deny the value of theories, by using criteria that do not allow us to validate
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one claim and reject another unproblematically (Cairney 2013: 11–12; see Parsons
2000: 129 for stronger criticisms). On this basis, people like Radaelli (2000: 134) present
important objections to the unquestioning adherence to these principles, calling for a
balance between our needs to generalize (to explain a small part of all cases) and to be
more specific (to explain a large part of particular cases).
Yet we can infer Sabatier’s attitude to science in more than one way—although he
makes a public commitment to certain principles, he does not necessarily use them in
an overly narrow or too punitive way. Take, for example, the use of these principles in
a rather hard way to question the value of the “stages heuristic” (a focus on the policy
cycle as it follows certain stages, including agenda setting, formulation, legitimation,
implementation, evaluation, and maintenance/termination). Sabatier (1991: 147) argues
strongly that it “has outlived its usefulness and must be replaced, in large part because
it is not a causal theory.” This argument is outlined in greater depth in texts such as
Jenkins-Smith and Sabatier (1993a, 1994), but with a combination of criticisms based on
scientific principles (it “does not provide a clear basis for empirical hypothesis-testing”)
and an argument, that can be found in the wider literature, about its descriptive limitations
(which have already prompted a whole series of alternatives to stage-based
research— Jenkins-Smith and Sabatier 1994: 177–8; Cairney 2012: 41). In other words,
this is a combination of a specific attachment to scientific principles with a broader
(and perhaps more openly subjective) focus on the extent to which an approach is valuable.
Further, Sabatier (1999) proved, at least temporarily, able to humor the approaches
of which he did not approve (also note Sabatier’s (1986) earlier engagement with the
implementation literature) and we can see the same mixed attitude towards multiple
streams analysis in Sabatier (1991, 1999, 2007b).
In other words, if we read the language used by Sabatier (2007b: 8–10), it often
appears softer on scientific criteria; establishing a commitment to them but being reasonably
open to challenge. For example, “Each framework must do a reasonably good
job of meeting the criteria of a scientific theory” and “be the subject of a fair amount of
recent conceptual development and/or empirical testing” (2007: 8, emphasis added).
Further, Sabatier (2007: 8) uses rather subjective criteria for the inclusion of theories
in his edited books, including a statement that could just as easily have been made by
Fischer (2003): “A number of currently active policy scholars must view it as a viable
way of understanding the policy process” (Sabatier 2007: 8).
Indeed, Sabatier’s own reflection on his scientific bent (2000: 137) describes perhaps
an impish description of his position—“presuppositionist neo-positivist”—
and a more serious, broad commitment to good communication between scientists,
summed up by the Popper-like phrase “be clear enough to be proven wrong.” As
Jenkins-Smith (2013) describes, “it was fine to be wrong as long as you were clearly
wrong (and hence could learn from it) . . . clarity begets clarity, mush begets mush.”
This broad attitude is appropriate in scientific fields where we rely on the knowledge
of others, we seek ways to communicate and learn from each other, we need to decide
who to listen to (and who to ignore), and we want to avoid fruitless debates at cross
purposes (Cairney 2013: 15).
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We may also want to discourage people from stretching their theories too much
to match the evidence rather than seek a more convincing theory. For a “Lakatosian”
approach to science, this is an incredibly tricky balancing act: between adapting your
theory continuously when you admit you are wrong (risking the criticism that you are
changing your ideas too much), and making sure that you are adapting to be more right
rather than simply to protect the core of your argument (which includes, for the ACF,
the identification of “non-trivially coordinated coalitions based on belief-systems,” the
“relative autonomy of subsystems,” and the importance of focusing on policy change
over a full cycle—Jenkins-Smith, in correspondence, 2010). The irony for the ACF is
that it may be built on a relatively open, honest, and dynamic approach, but have the
potential to look otherwise.
Conclusion: The ACF’s Legacy on,
and Links to, the Wider World of
Public Policy
There are not many policy frameworks or theories that try to provide an overview of
the entire policy process; to try to explain the interaction between “the five core causal
processes . . . institutions, networks, socioeconomic process, choices, and ideas” (John
2003: 488). For example, although it perhaps remains most relevant to the study of US
politics (in some policy areas), it also became useful as a way to restate the importance
of policy subsystems in countries like the UK facing an alleged stagnation of policy
networks research (see e.g. Dowding, 1995: 147–50). Further, although it was by no
means the first policy framework to discuss the important role of ideas (it owes much to
the work of Majone 1980, and came after Kingdon’s 1984 influential book), it treats their
importance as part of a wider explanation, perhaps reducing the potential for critics
to suggest that ideas are given explanatory value independent of their acceptance and
use by actors within coalitions. It is difficult to get this balance right, but the ACF often
succeeds:
Raw political power may carry the day against superior evidence, but the costs to
one’s credibility in a democratic society can be considerable. Moreover, resources
expended—particularly in the form of favors called in—are not available for
future use. Thus those who can most effectively marshal persuasive evidence,
thereby conserving their political resources, are more likely to win in the long
run than those who ignore technical arguments. (Jenkins-Smith and Sabatier
1993b: 44–5; compare with the similar tone in Majone 1989: 2; Kingdon 1984: 131–3;
Hall 1993: 291–2).
Similarly, it goes some way to address the charge, made against previous systems
and socioeconomic theorists (from Easton (1953) to Dawson and Robinson (1963)
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and Hofferbert (1974)) that external factors determine, or largely explain, outcomes
(Cairney 2012: 113). External factors are important, and may prompt major change,
but “shocks” refer largely to the ways in which coalitions compete to adapt to, and
interpret, such events. The ACF has a less developed view about the role of institutions—although
its focus on a myriad of actors and organizations, at multiple levels
of government, helps us understand institutions as forms of behavior linked to rules
and norms accepted or challenged by different coalitions (Sabatier 1993: 25; Sabatier
and Weible 2007: 194; Cairney 2012: 217). Finally, there is much less of a focus (than
in most other accounts of policy-making) on “bounded rationality” (Simon 1976) as
the starting point for considering how policy-makers consider and make choices,
partly because issues about how someone might articulate and pursue their interests
is subsumed within a consideration of the construction and operation of belief systems
(Cairney 2012: 215–16; 282–3).
This degree of conceptual coverage and academic ambition may be the key to its
potential longevity in the policy literature. Like the PAP and IAD, the ACF is one of
a small number of approaches in policy studies linked, initially and very strongly, to a
small core group of authors, before it became established as an approach that could be
used without the involvement of its founders.Uw ADH vitamine Worst
Met vriendelijke groenten![]()
godverdomme wat sneuquote:Op dinsdag 16 januari 2018 23:50 schreef hemarookworst het volgende:
The Advocacy Coalition Framework is one of the most influential approaches to public
policy to emerge from the 1990s. It is highly cited and its approach has been used in over
80 studies of public policy, primarily in the US but also in a wide range of developed
countries. It is one of a small number of prominent approaches developed in the US
after Heclo’s (1978: 94–7) famous identification of a departure from the simple “clubby
days of Washington politics” toward “complex relationships” among a huge, politically
active population. Issues which were once “quietly managed by a small group of insiders”
have now become “controversial and politicized” (Heclo 1978: 105). Its key aim is to
make sense of such complex policy-making systems which:
• contain multiple actors and levels of government;
• process policy in very different ways, from intensely politicized disputes containing
many actors in some areas, to issues that are treated as technical or specialist
and processed routinely, largely by policy specialists, out of the public spotlight;
• produce decisions based on limited information and often high levels of uncertainty
and ambiguity; and
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• take considerable time (perhaps “a decade or more”) to turn decisions into
outcomes.
The ACF is distinctive in a number of ways. First, it is relatively ambitious, seeking
to produce what we might consider to be the closest thing to a general theory of
policy-making. Second, it has been subject to an unusually high number of revisions
in the light of experience and a desire to extend its insights beyond the US. Third, the
framework is largely predicated on the idea that people engage in politics to translate
their beliefs, rather than their simple material interests, into action. Consequently, at its
heart is a system in which coalitions of actors with different belief systems interact and
compete to dominate policy subsystems. Fourth, the description of subsystems appears
to be different from most conceptualizations of policy communities or networks,
which often describe the great potential for insulated relationships between groups
and government (Cairney 2012: 203). Rather, a wide range of actors are involved within
each coalition. Fifth, it represents not only an approach to the study of contemporary
public policy but also a set of ideas about how we should conduct scientific inquiry. For
example, its rejection of the use of cycles and stages to explain policy-making is based
as much on scientific criteria as conceptual or empirical concerns. Consequently, its
proponents—and Paul Sabatier in particular—have influenced the discussion of public
policy as a discipline and a branch of science.
A Summary of the ACF
An advocacy coalition contains “people from a variety of positions (elected and agency
officials, interest group leaders, researchers) who share a particular belief system—i.e.
a set of basic values, causal assumptions, and problem perceptions—and who show
a non-trivial degree of coordinated activity over time” (Sabatier 1988: 139). The ACF
focuses on the interaction between competing advocacy coalitions within a policy
subsystem which, in turn, operates within a wider political system and external environment.
Its description of subsystems paints a picture of a relatively open, multi-level
policy-making system:
Our conception of policy subsystems should be broadened from traditional notions
of iron triangles limited to administrative agencies, legislative committees, and
interest groups at a single level of government to include actors at various levels
of government, as well as journalists, researchers and policy analysts who play
important roles in the generation, dissemination, and evaluation of policy ideas.
(Jenkins-Smith and Sabatier 1993a: 179)
This picture results partly from a focus on the role of ideas in policy-making—actors
may be influential because they articulate important ideas, not simply because they
can exercise power. It focuses in particular on the importance of belief systems: many
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actors may be influential because they share a set of beliefs with a large number of others;
translating those beliefs into policy decisions and outcomes is a common project.
Beliefs are the “glue” that keeps a large number of actors together. There are three
main types:
• Deep Core Beliefs. These regard an actor’s “underlying personal philosophy,”
often expressed as a point on the left/right-wing continuum (Sabatier 1993: 30).
Examples include: beliefs on whether people are evil or socially redeemable; how
we should rank values such as freedom and security; and whose welfare should
count the most (Sabatier, 1998: 103).
• Policy Core Beliefs. These regard “fundamental policy positions.” Examples
include: the proper balance between government and market and the proper distribution
of power across levels of government (Sabatier 1993: 31; 1998: 110).
• Secondary Aspects. These relate to the funding, delivery, and implementation of
policy goals (1993: 31).
Core beliefs span most policy areas and are the least susceptible to change in light of
empirical evidence (“akin to a religious conversion”—Sabatier 1993: 31, 36). They are
too broad to guide policy-specific behavior. Instead, policy core beliefs are employed
within particular subsystems. Although policy core beliefs are more susceptible to
change, they are generally stable within the period of study (over the period of one policy
cycle of a “decade or so”—Sabatier and Weible 2007: 193). Any “enlightenment function”
may take place over decades because beliefs are “primarily normative—and thus
largely beyond direct empirical challenge” (Sabatier 1993: 44). In most cases, change
refers to “secondary aspects,” when beliefs on the routine delivery of specific policies
are refined according to new information (1993: 31, 221).
Coalitions interact within policy subsystems, defined simply as a broader “set of
actors who are involved in dealing with a policy problem” (Sabatier 1988: 138). It includes
varying number of coalitions (usually from one to four), policy “brokers,” whose role
is to minimize conflict and produce workable compromises between coalitions, and
a “sovereign” or “government authority” to make policy decisions and oversee the
policy-making infrastructure. Although there is generally more than one coalition, it
is not unusual for one coalition to dominate the subsystem for long periods or for a
negotiated settlement to favor the beliefs of one coalition. Further, although brokers
and sovereigns are separated analytically, it is often difficult to know where coalitions
end and policy-makers begin, since governmental organizations may often appear to
hold, and act on, beliefs consistent with those of a particular advocacy coalition.
Policy subsystems exist within a wider system (Figure 33.1) that sets the parameters
for action and provides each coalition with different constraints and opportunities. It
includes:
• factors that are “relatively stable” over the time period generally studied (a “decade
or more”), such as “social values” and the broad “constitutional structure”;
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• the “long term coalition opportunity structures” related to the nature of political
systems—e.g. are there multiple, open venues or a small number of centralized
processes? Do governments control majorities or need to cooperate with other
parties?; and,
• “external (system) events,” such as socioeconomic change, a change in government,
or the impact from decisions made in other subsystems.
Although the ACF is built on a critique of the “stages heuristic” (to be discussed
shortly), it still focuses on change over a “decade or more” to allow (albeit notionally)
for a full policy cycle. Coalitions interact, a decision is made, institutions are set up or
modified, the impacts of policy outputs are evaluated, and the information is interpreted
differently by each coalition learning from previous decisions and adapting
their strategies (in line with that new information and external events) during the
next cycle.
There are two main sources and types of change in this framework (if we exclude
major changes to coalitions following an “enlightenment function” that may take
decades to occur). The first is relatively minor policy change that takes place within
subsystems: coalitions engage in policy learning, adapting the secondary aspects of
their belief systems in light of new information. Learning has a particular meaning
POLICY SUBSYSTEM
Coalition A
a. Policy belief
b. Resources
a. Policy belief
b. Resources
Policy Coalition B
brokers
Strategy
regarding guidance
instruments
Strategy
regarding guidance
instruments
Decisions by
governmental authorities
Institutional rules, resource
allocations, and appointments
SHORT-TERM
CONSTRAINTS AND
RESOURCES OF
SUBSYSTEM ACTORS
2007 Advocacy Coalition Framework Flow Diagram
LONG-TERM COALITION
OPPORTUNITY
STRUCTURES
1. Overlapping societal
cleavages
2. Degree of consensus
needed for major
policy change
RELATIVELY STABLE
PARAMETERS
1. Basic attributes of the
problem area (good)
2. Basic distribution of
natural resources 3. Fundamental
sociocultural values and
social structure 4. Basic constitutional
structure (rules)
EXTERNAL (SYSTEM)
EVENTS
1. Change in socio
economic conditions
2. Change in public
opinion
3. Changes in systemic
governing coalition
4. Policy decisions and
impacts from other sub
systems
Policy impacts
Policy outputs
Fig. 33.1 The ACF Flow Diagram (2007 version)
Source: Weible et al. 2009: 123
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in the ACF (compare with other forms of learning described by Bennett and Howlett
1992). It takes place through the lens of deeply held policy beliefs; coalitions learn
on their own terms—selecting the information they hold to be most relevant and
acceding only to change which does not undermine the coalition’s main source of
cooperation.
Coalitions also engage in a form of learning to adapt to the beliefs of another coalition,
particularly when its views become “too important to ignore” (Jenkins-Smith
and Sabatier 1993b: 43). However, they do not simply accept the arguments of other
coalitions and adopt their preferred policies. Learning is a political process and “not
a disinterested search for ‘truth’” (Jenkins-Smith and Sabatier 1993b: 45; Sabatier
1988: 151). Information on the success of policy is limited and subject to framing by
each coalition. In some cases, there are commonly accepted ways to measure policy
performance. In others, it is a battle of ideas which takes place in the context of a
tendency of coalitions to “exaggerate the influence and maliciousness of opponents”
(Weible 2007: 99). Technical information is often used “primarily in an ‘advocacy’
fashion” (Jenkins-Smith and Sabatier 1993b: 45; Sabatier 1988: 152) and a dominant
coalition can successfully challenge the data supporting policy change for years
(Sabatier 1998: 104). This process generally does not produce major changes in policy
or the balance of power between coalitions. Rather, coalitions interpret and frame
new information in line with their core and policy beliefs. In most cases, learning
follows the routine monitoring of policy implementation, as members consider how
policy contributes to positive or unintended outcomes and whether their beliefs
regarding the best way to solve the policy problem are challenged or supported by the
evidence.
The second is relatively major change prompted largely by external events. Events
may set in motion “internal” or “external shocks” to subsystems, with the potential
to alter coalitions and the balance of power between them. An internal shock
relates to the effect of major external change on a coalition’s belief system, akin to a
crisis of confidence. The event prompts a coalition to revisit its policy core beliefs,
perhaps following a realization by many actors that existing policies have failed
monumentally, and their consequent departure to a different coalition. An external
shock has the added element of coalition competition—another coalition uses the
experience of a major event to reinforce its position within the subsystem, largely
by demonstrating that its belief system is best equipped to interpret and solve the
policy problem. In other words, the major event is not enough to cause an external
shock; it also has to be exploited successfully by a competing coalition which is
better equipped to learn and adapt. Such processes may vary, from the election of
a new government with beliefs that favor one coalition over another, to a “focusing
event” such as an environmental crisis that undermines the ability of a coalition
to defend current policy or allows another coalition to successfully redefine
the policy problem and seek new solutions. In each case, some coalitions may be
a source of stability and there is a process of mediation within subsystems. While
many of these external factors—such as global recession, environmental crises,
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and demographic changes—appear to have an independent causal value, coalitions
influence how sovereigns understand, interpret, and respond to them. External
events provide new resources to some coalitions. It is then up to those coalitions to
use them.
In other words, coalitions have to exercise power effectively to maintain or
improve their positions within subsystems. This regards a mix of resources available
to them—resources to gather and interpret information, the weight of public opinion
and their ability to rally active public support, their funding—and the skillfulness
of their leadership (Sabatier 1993: 29; Weible 2006: 99–100; Sabatier and Weible
2007: 201–3).
ACF Expansion and Revision
The ACF is based on a “Lakatosian” approach to science (Jenkins-Smith, in correspondence,
2010; Cairney 2012: 219). In effect, the ACF as a scientific project resembles
an advocacy coalition: secondary aspects are amended in the light of empirical
testing, while the core remains relatively insulated and the policy core is unlikely to
change in the absence of a monumental failure to explain its object of study (Cairney
2013). As in an advocacy coalition, its main authors are unlikely to reject the ACF as
a broad understanding of the policy-making system, but they are more likely than
most policy scholars to revise certain aspects of their theory in the light of experience.
There is a difficult balance to maintain: a “Popperian” attachment to falsifying
hypotheses derived from the theory operates alongside a theory that is revised to
maintain its value.
This revision process has taken place regularly since 1993 and the ACF flow diagram
in Figure 33.1 differs markedly from the original model derived from studies of the US
(in areas such as environmental policy). Sabatier and Jenkins-Smith’s review sought to
clarify:
• the role of administrative organizations (as potential members of coalitions but
also relatively subject to belief-change following a change of government) and
“hierarchically superior jurisdictions” which may, in rare cases, override subsystem
policy in the face of opposition from the dominant coalition (1993: 217;
Sabatier 1998: 119);
• the impact of technical information on policy (Sabatier and Jenkins-Smith
1993: 219);
• the difference, within policy core beliefs, between “normative precepts” that are
unlikely to change, and “precepts with a substantial empirical content” that are
more likely to change in the light of new evidence (Sabatier and Jenkins-Smith
1993: 220–1); and,
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• that an external event will not cause subsystem change unless at least one coalition
has the skill to exploit its new opportunity (Sabatier and Jenkins-Smith
1993: 222).
Further revisions were prompted by the rise in ACF applications to countries other
than the US. For example, the relative subsystem stability may only apply to “mature”
subsystems and they may not yet have developed in “nascent” subsystems (Sabatier
1998: 110–14; Sabatier and Weible 2007: 192). Sabatier and Weible (2007: 199) also sought
to address wider criticisms:
that it is too much of product of its empirical origins in American pluralism. It
makes largely tacit assumptions about well-organized interest groups, missionoriented
agencies, weak political parties, multiple decision making venues, and the
need for supermajorities to enact and implement major policy change.
The ACF diagram was revised to reflect: (a) the generally higher “degree of consensus
needed to institute a major policy change” in political systems with proportional
representation elections and a norm of minority or coalition government
(Sabatier 1998: 121; Sabatier and Weible 2007: 200); and (b) the often-lower availability
of multiple, open venues in “corporatist” systems characterized by centralized
decision-making, restricted to a small number of leaders of business groups and
unions (2007: 200). Both factors combine to produce the relatively new “long-term
coalition opportunity structures” box in Figure 33.1. The main authors also generally
advise caution when applying the ACF to countries in which we might make
different assumptions about, for example, the role of the civil service (only some
countries have politically appointed bureaucrats), the relationships between levels
and types of government (not all countries have a US-style constitution setting out
their respective responsibilities), and the balance of power between political parties
(Sabatier 1998). A combination of such factors suggests that subsystems, as the main
focus of analysis, can be defined in quite different ways in different systems (Cairney
2012: 214).
A further major revision by Sabatier and Weible (2007: 204–7) identified two
sources of policy change: the distinction between internal and external shocks,
already described, and “alternative dispute resolution”, which refers to the conditions
(including a widespread recognition of stalemate, a process that includes
stakeholders who respect a neutral chair, and an ability to resolve issues empirically)
in which major policy change can result from negotiated agreements between
“previously warring coalitions” (2007: 205–7). More recent revisions include
attempts to provide better descriptions of the role of public opinion, from simply
being subsumed under “socioeconomic conditions” as a source of external constraint,
towards treating it as a resource to be used and manipulated by coalitions
(Jones and Jenkins-Smith 2009: 39).
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How the ACF has Shaped
Thinking and Research
According to John (2003: 481), the ACF was one of two approaches (alongside punctuated
equilibrium theory) to mark a ““punctuation” in thinking about public
policy.” Its most famous exposition (Sabatier and Jenkin-Smith 1993) has been cited
over 2,200 times and several related works have been cited from 1,200 to 1,870 times
in the last 15–20 years. It has produced over 80 applications in publications by the
authors, their colleagues, and other inspired scholars (Weible et al. 2009) and is now
an almost-automatic inclusion in textbooks and overviews of the policy literature
(including Birkland 2005; Cairney 2012; John 2012; Smith and Larimer 2009). It has
been used regularly to explain policy-making outside the US: in the European Union
and some member states; in countries such as Canada, Australia, Sweden, and Japan;
and, in fewer cases, Africa, South America, and Asia (Sabatier and Weible 2007: 217–20;
Weible et al. 2009: 125). Some of the most cited examples include: forestry policy (Elliott
and Schlaepfer 2001a, 2001b); drug policy in Switzerland (Kübler 2001); California
marine protected area policy (Weible 2006), and the US President’s National Economic
Council (Dolan 2003).
However, such applications have been limited in two main ways. First, most ACF
case studies “remain within environmental and energy policies” (Weible et al.
2009: 125) which could exaggerate, for example, the importance of the European Union
(environmental policy is the most Europeanized, compared to areas such as health
and education with often-minimal EU involvement) and international cooperation or
international organizations (Litfin 2000).
Second, the ACF is often applied in a rather loose way, often without adopting the
methods, recommended by its main authors (Jenkins-Smith and Sabatier, 1993c), that
tend to be used by authors who became closely associated with the ACF (e.g. see Weible
2007: 104; Zafonte and Sabatier 2004). The ACF may be used, as part of a desktop exercise,
to provide one of many conceptual perspectives on an empirical case study that
has been produced relatively independently of the ACF method (Cairney 2013: 9). Case
studies may be “ACF-inspired” without testing any of its hypotheses (Weible et al.
2009: 128)—a limitation that may seems particularly problematic for a framework
designed to generate hypotheses to allow confirmation or revision.
That said, many of the 80 studies covered by Weible et al. (2009) confirm that a major
external event is a necessary but insufficient condition for major subsystem change (18
studies) and that it often, but not always, prompts a significant number of members to
defect to other coalitions (13 studies). Others (20 studies) broadly confirm that policy
learning across coalitions tends to be more likely in less contentious areas with relatively
high potential to resolve issues empirically. In other words, despite these limitations,
the ACF has still been subject to an unusually high amount of testing in a field
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(political science and public policy) that has not produced many studies in which people
examine the world using a common framework organized by a small number of
scientists (other examples include the Policy Agendas Project (PAP), <http://www.policyagendas.org>,
and the Institutional Analysis and Development Framework (IAD),
Poteete et al. 2010).
The ACF and Science
A further aspect of the ACF’s influence is that represents not only an approach to the
study of contemporary public policy but also a set of ideas about how we should practice
science. The ACF itself was generally modeled on a “Lakatosian” approach to science
and Paul Sabatier (1999, 2007) in particular sought to use some of these ideas about
the scientific study of policy-making to set the agenda for the evaluation—and possible
combination or rejection—of the most popular theories of public policy.
Sabatier (2007b: 330; 1999) highlights three main advantages to the use of multiple
theories: it provides “some guarantee against assuming that a particular theory is the
valid one”; it shows us that “different theories may have comparative advantages in different
settings”; and, the knowledge of other theories “should make one much more
sensitive to some of the implicit assumptions in one’s favoured theory.” He then outlines
a set of principles that can be used to decide how useful a theory might be in general
or in particular situations. A similar approach was used by Eller and Krutz (2009)
in a special issue of the Policy Studies Journal.
It is important not to enforce this set of criteria too strongly. For example, Cairney
(2013: 10) combines their (Sabatier 2007b; Eller and Krutz 2009) arguments to produce
a simple set of principles for scientific comparison:
1. A theory’s methods should be explained so that they can be replicated by others.
2. Its concepts should be clearly defined, logically consistent and give rise to empirically
falsifiable hypotheses.
3. Its propositions should be as general as possible.
4. It should set out clearly what the causal processes are.
5. It should be subject to empirical testing and revision.
As stated, these principles are difficult to live up to fully (indeed, it is debatable if even
the ACF lives up to them—Cairney 2013: 10). They have the potential to present a misleading
picture of scientific research, ignoring the extent to which studies are generally
not replicated (we accept a large number of findings on trust); people follow different
rules and engage on different terms when discussing research (without a way for us to
decide which terms are the most appropriate); and a complex world does not allow us to
falsify hypotheses in a straightforward way (if at all). In other worlds, there in an inescapably
subjective element to scientific research in which we pursue our beliefs, and
confirm or deny the value of theories, by using criteria that do not allow us to validate
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one claim and reject another unproblematically (Cairney 2013: 11–12; see Parsons
2000: 129 for stronger criticisms). On this basis, people like Radaelli (2000: 134) present
important objections to the unquestioning adherence to these principles, calling for a
balance between our needs to generalize (to explain a small part of all cases) and to be
more specific (to explain a large part of particular cases).
Yet we can infer Sabatier’s attitude to science in more than one way—although he
makes a public commitment to certain principles, he does not necessarily use them in
an overly narrow or too punitive way. Take, for example, the use of these principles in
a rather hard way to question the value of the “stages heuristic” (a focus on the policy
cycle as it follows certain stages, including agenda setting, formulation, legitimation,
implementation, evaluation, and maintenance/termination). Sabatier (1991: 147) argues
strongly that it “has outlived its usefulness and must be replaced, in large part because
it is not a causal theory.” This argument is outlined in greater depth in texts such as
Jenkins-Smith and Sabatier (1993a, 1994), but with a combination of criticisms based on
scientific principles (it “does not provide a clear basis for empirical hypothesis-testing”)
and an argument, that can be found in the wider literature, about its descriptive limitations
(which have already prompted a whole series of alternatives to stage-based
research— Jenkins-Smith and Sabatier 1994: 177–8; Cairney 2012: 41). In other words,
this is a combination of a specific attachment to scientific principles with a broader
(and perhaps more openly subjective) focus on the extent to which an approach is valuable.
Further, Sabatier (1999) proved, at least temporarily, able to humor the approaches
of which he did not approve (also note Sabatier’s (1986) earlier engagement with the
implementation literature) and we can see the same mixed attitude towards multiple
streams analysis in Sabatier (1991, 1999, 2007b).
In other words, if we read the language used by Sabatier (2007b: 8–10), it often
appears softer on scientific criteria; establishing a commitment to them but being reasonably
open to challenge. For example, “Each framework must do a reasonably good
job of meeting the criteria of a scientific theory” and “be the subject of a fair amount of
recent conceptual development and/or empirical testing” (2007: 8, emphasis added).
Further, Sabatier (2007: 8) uses rather subjective criteria for the inclusion of theories
in his edited books, including a statement that could just as easily have been made by
Fischer (2003): “A number of currently active policy scholars must view it as a viable
way of understanding the policy process” (Sabatier 2007: 8).
Indeed, Sabatier’s own reflection on his scientific bent (2000: 137) describes perhaps
an impish description of his position—“presuppositionist neo-positivist”—
and a more serious, broad commitment to good communication between scientists,
summed up by the Popper-like phrase “be clear enough to be proven wrong.” As
Jenkins-Smith (2013) describes, “it was fine to be wrong as long as you were clearly
wrong (and hence could learn from it) . . . clarity begets clarity, mush begets mush.”
This broad attitude is appropriate in scientific fields where we rely on the knowledge
of others, we seek ways to communicate and learn from each other, we need to decide
who to listen to (and who to ignore), and we want to avoid fruitless debates at cross
purposes (Cairney 2013: 15).
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We may also want to discourage people from stretching their theories too much
to match the evidence rather than seek a more convincing theory. For a “Lakatosian”
approach to science, this is an incredibly tricky balancing act: between adapting your
theory continuously when you admit you are wrong (risking the criticism that you are
changing your ideas too much), and making sure that you are adapting to be more right
rather than simply to protect the core of your argument (which includes, for the ACF,
the identification of “non-trivially coordinated coalitions based on belief-systems,” the
“relative autonomy of subsystems,” and the importance of focusing on policy change
over a full cycle—Jenkins-Smith, in correspondence, 2010). The irony for the ACF is
that it may be built on a relatively open, honest, and dynamic approach, but have the
potential to look otherwise.
Conclusion: The ACF’s Legacy on,
and Links to, the Wider World of
Public Policy
There are not many policy frameworks or theories that try to provide an overview of
the entire policy process; to try to explain the interaction between “the five core causal
processes . . . institutions, networks, socioeconomic process, choices, and ideas” (John
2003: 488). For example, although it perhaps remains most relevant to the study of US
politics (in some policy areas), it also became useful as a way to restate the importance
of policy subsystems in countries like the UK facing an alleged stagnation of policy
networks research (see e.g. Dowding, 1995: 147–50). Further, although it was by no
means the first policy framework to discuss the important role of ideas (it owes much to
the work of Majone 1980, and came after Kingdon’s 1984 influential book), it treats their
importance as part of a wider explanation, perhaps reducing the potential for critics
to suggest that ideas are given explanatory value independent of their acceptance and
use by actors within coalitions. It is difficult to get this balance right, but the ACF often
succeeds:
Raw political power may carry the day against superior evidence, but the costs to
one’s credibility in a democratic society can be considerable. Moreover, resources
expended—particularly in the form of favors called in—are not available for
future use. Thus those who can most effectively marshal persuasive evidence,
thereby conserving their political resources, are more likely to win in the long
run than those who ignore technical arguments. (Jenkins-Smith and Sabatier
1993b: 44–5; compare with the similar tone in Majone 1989: 2; Kingdon 1984: 131–3;
Hall 1993: 291–2).
Similarly, it goes some way to address the charge, made against previous systems
and socioeconomic theorists (from Easton (1953) to Dawson and Robinson (1963)
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and Hofferbert (1974)) that external factors determine, or largely explain, outcomes
(Cairney 2012: 113). External factors are important, and may prompt major change,
but “shocks” refer largely to the ways in which coalitions compete to adapt to, and
interpret, such events. The ACF has a less developed view about the role of institutions—although
its focus on a myriad of actors and organizations, at multiple levels
of government, helps us understand institutions as forms of behavior linked to rules
and norms accepted or challenged by different coalitions (Sabatier 1993: 25; Sabatier
and Weible 2007: 194; Cairney 2012: 217). Finally, there is much less of a focus (than
in most other accounts of policy-making) on “bounded rationality” (Simon 1976) as
the starting point for considering how policy-makers consider and make choices,
partly because issues about how someone might articulate and pursue their interests
is subsumed within a consideration of the construction and operation of belief systems
(Cairney 2012: 215–16; 282–3).
This degree of conceptual coverage and academic ambition may be the key to its
potential longevity in the policy literature. Like the PAP and IAD, the ACF is one of
a small number of approaches in policy studies linked, initially and very strongly, to a
small core group of authors, before it became established as an approach that could be
used without the involvement of its founders.![]()
Leuke jaquote:I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
quote:I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Is het ook steken ze al jaren in de doofpot.quote:Op dinsdag 16 januari 2018 23:36 schreef aloa het volgende:
[..]
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Roel en RoelienI think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
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Uit oude PekelaaaaaaThey wish to cure us. But I say to you, WE are the cure!
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This degree of conceptual coverage and academic ambition may be the key to its potential longevity in the policy literature. Like the PAP and IAD, the ACF is one of a small number of approaches in policy studies linked, initially and very strongly, to a small core group of authors, before it became established as an approach that could be used without the involvement of its founders.quote:Op dinsdag 16 januari 2018 23:50 schreef hemarookworst het volgende:
The Advocacy Coalition Framework is one of the most influential approaches to public
policy to emerge from the 1990s. It is highly cited and its approach has been used in over
80 studies of public policy, primarily in the US but also in a wide range of developed
countries. It is one of a small number of prominent approaches developed in the US
after Heclo’s (1978: 94–7) famous identification of a departure from the simple “clubby
days of Washington politics” toward “complex relationships” among a huge, politically
active population. Issues which were once “quietly managed by a small group of insiders”
have now become “controversial and politicized” (Heclo 1978: 105). Its key aim is to
make sense of such complex policy-making systems which:
• contain multiple actors and levels of government;
• process policy in very different ways, from intensely politicized disputes containing
many actors in some areas, to issues that are treated as technical or specialist
and processed routinely, largely by policy specialists, out of the public spotlight;
• produce decisions based on limited information and often high levels of uncertainty
and ambiguity; and
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• take considerable time (perhaps “a decade or more”) to turn decisions into
outcomes.
The ACF is distinctive in a number of ways. First, it is relatively ambitious, seeking
to produce what we might consider to be the closest thing to a general theory of
policy-making. Second, it has been subject to an unusually high number of revisions
in the light of experience and a desire to extend its insights beyond the US. Third, the
framework is largely predicated on the idea that people engage in politics to translate
their beliefs, rather than their simple material interests, into action. Consequently, at its
heart is a system in which coalitions of actors with different belief systems interact and
compete to dominate policy subsystems. Fourth, the description of subsystems appears
to be different from most conceptualizations of policy communities or networks,
which often describe the great potential for insulated relationships between groups
and government (Cairney 2012: 203). Rather, a wide range of actors are involved within
each coalition. Fifth, it represents not only an approach to the study of contemporary
public policy but also a set of ideas about how we should conduct scientific inquiry. For
example, its rejection of the use of cycles and stages to explain policy-making is based
as much on scientific criteria as conceptual or empirical concerns. Consequently, its
proponents—and Paul Sabatier in particular—have influenced the discussion of public
policy as a discipline and a branch of science.
A Summary of the ACF
An advocacy coalition contains “people from a variety of positions (elected and agency
officials, interest group leaders, researchers) who share a particular belief system—i.e.
a set of basic values, causal assumptions, and problem perceptions—and who show
a non-trivial degree of coordinated activity over time” (Sabatier 1988: 139). The ACF
focuses on the interaction between competing advocacy coalitions within a policy
subsystem which, in turn, operates within a wider political system and external environment.
Its description of subsystems paints a picture of a relatively open, multi-level
policy-making system:
Our conception of policy subsystems should be broadened from traditional notions
of iron triangles limited to administrative agencies, legislative committees, and
interest groups at a single level of government to include actors at various levels
of government, as well as journalists, researchers and policy analysts who play
important roles in the generation, dissemination, and evaluation of policy ideas.
(Jenkins-Smith and Sabatier 1993a: 179)
This picture results partly from a focus on the role of ideas in policy-making—actors
may be influential because they articulate important ideas, not simply because they
can exercise power. It focuses in particular on the importance of belief systems: many
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actors may be influential because they share a set of beliefs with a large number of others;
translating those beliefs into policy decisions and outcomes is a common project.
Beliefs are the “glue” that keeps a large number of actors together. There are three
main types:
• Deep Core Beliefs. These regard an actor’s “underlying personal philosophy,”
often expressed as a point on the left/right-wing continuum (Sabatier 1993: 30).
Examples include: beliefs on whether people are evil or socially redeemable; how
we should rank values such as freedom and security; and whose welfare should
count the most (Sabatier, 1998: 103).
• Policy Core Beliefs. These regard “fundamental policy positions.” Examples
include: the proper balance between government and market and the proper distribution
of power across levels of government (Sabatier 1993: 31; 1998: 110).
• Secondary Aspects. These relate to the funding, delivery, and implementation of
policy goals (1993: 31).
Core beliefs span most policy areas and are the least susceptible to change in light of
empirical evidence (“akin to a religious conversion”—Sabatier 1993: 31, 36). They are
too broad to guide policy-specific behavior. Instead, policy core beliefs are employed
within particular subsystems. Although policy core beliefs are more susceptible to
change, they are generally stable within the period of study (over the period of one policy
cycle of a “decade or so”—Sabatier and Weible 2007: 193). Any “enlightenment function”
may take place over decades because beliefs are “primarily normative—and thus
largely beyond direct empirical challenge” (Sabatier 1993: 44). In most cases, change
refers to “secondary aspects,” when beliefs on the routine delivery of specific policies
are refined according to new information (1993: 31, 221).
Coalitions interact within policy subsystems, defined simply as a broader “set of
actors who are involved in dealing with a policy problem” (Sabatier 1988: 138). It includes
varying number of coalitions (usually from one to four), policy “brokers,” whose role
is to minimize conflict and produce workable compromises between coalitions, and
a “sovereign” or “government authority” to make policy decisions and oversee the
policy-making infrastructure. Although there is generally more than one coalition, it
is not unusual for one coalition to dominate the subsystem for long periods or for a
negotiated settlement to favor the beliefs of one coalition. Further, although brokers
and sovereigns are separated analytically, it is often difficult to know where coalitions
end and policy-makers begin, since governmental organizations may often appear to
hold, and act on, beliefs consistent with those of a particular advocacy coalition.
Policy subsystems exist within a wider system (Figure 33.1) that sets the parameters
for action and provides each coalition with different constraints and opportunities. It
includes:
• factors that are “relatively stable” over the time period generally studied (a “decade
or more”), such as “social values” and the broad “constitutional structure”;
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• the “long term coalition opportunity structures” related to the nature of political
systems—e.g. are there multiple, open venues or a small number of centralized
processes? Do governments control majorities or need to cooperate with other
parties?; and,
• “external (system) events,” such as socioeconomic change, a change in government,
or the impact from decisions made in other subsystems.
Although the ACF is built on a critique of the “stages heuristic” (to be discussed
shortly), it still focuses on change over a “decade or more” to allow (albeit notionally)
for a full policy cycle. Coalitions interact, a decision is made, institutions are set up or
modified, the impacts of policy outputs are evaluated, and the information is interpreted
differently by each coalition learning from previous decisions and adapting
their strategies (in line with that new information and external events) during the
next cycle.
There are two main sources and types of change in this framework (if we exclude
major changes to coalitions following an “enlightenment function” that may take
decades to occur). The first is relatively minor policy change that takes place within
subsystems: coalitions engage in policy learning, adapting the secondary aspects of
their belief systems in light of new information. Learning has a particular meaning
POLICY SUBSYSTEM
Coalition A
a. Policy belief
b. Resources
a. Policy belief
b. Resources
Policy Coalition B
brokers
Strategy
regarding guidance
instruments
Strategy
regarding guidance
instruments
Decisions by
governmental authorities
Institutional rules, resource
allocations, and appointments
SHORT-TERM
CONSTRAINTS AND
RESOURCES OF
SUBSYSTEM ACTORS
2007 Advocacy Coalition Framework Flow Diagram
LONG-TERM COALITION
OPPORTUNITY
STRUCTURES
1. Overlapping societal
cleavages
2. Degree of consensus
needed for major
policy change
RELATIVELY STABLE
PARAMETERS
1. Basic attributes of the
problem area (good)
2. Basic distribution of
natural resources 3. Fundamental
sociocultural values and
social structure 4. Basic constitutional
structure (rules)
EXTERNAL (SYSTEM)
EVENTS
1. Change in socio
economic conditions
2. Change in public
opinion
3. Changes in systemic
governing coalition
4. Policy decisions and
impacts from other sub
systems
Policy impacts
Policy outputs
Fig. 33.1 The ACF Flow Diagram (2007 version)
Source: Weible et al. 2009: 123
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in the ACF (compare with other forms of learning described by Bennett and Howlett
1992). It takes place through the lens of deeply held policy beliefs; coalitions learn
on their own terms—selecting the information they hold to be most relevant and
acceding only to change which does not undermine the coalition’s main source of
cooperation.
Coalitions also engage in a form of learning to adapt to the beliefs of another coalition,
particularly when its views become “too important to ignore” (Jenkins-Smith
and Sabatier 1993b: 43). However, they do not simply accept the arguments of other
coalitions and adopt their preferred policies. Learning is a political process and “not
a disinterested search for ‘truth’” (Jenkins-Smith and Sabatier 1993b: 45; Sabatier
1988: 151). Information on the success of policy is limited and subject to framing by
each coalition. In some cases, there are commonly accepted ways to measure policy
performance. In others, it is a battle of ideas which takes place in the context of a
tendency of coalitions to “exaggerate the influence and maliciousness of opponents”
(Weible 2007: 99). Technical information is often used “primarily in an ‘advocacy’
fashion” (Jenkins-Smith and Sabatier 1993b: 45; Sabatier 1988: 152) and a dominant
coalition can successfully challenge the data supporting policy change for years
(Sabatier 1998: 104). This process generally does not produce major changes in policy
or the balance of power between coalitions. Rather, coalitions interpret and frame
new information in line with their core and policy beliefs. In most cases, learning
follows the routine monitoring of policy implementation, as members consider how
policy contributes to positive or unintended outcomes and whether their beliefs
regarding the best way to solve the policy problem are challenged or supported by the
evidence.
The second is relatively major change prompted largely by external events. Events
may set in motion “internal” or “external shocks” to subsystems, with the potential
to alter coalitions and the balance of power between them. An internal shock
relates to the effect of major external change on a coalition’s belief system, akin to a
crisis of confidence. The event prompts a coalition to revisit its policy core beliefs,
perhaps following a realization by many actors that existing policies have failed
monumentally, and their consequent departure to a different coalition. An external
shock has the added element of coalition competition—another coalition uses the
experience of a major event to reinforce its position within the subsystem, largely
by demonstrating that its belief system is best equipped to interpret and solve the
policy problem. In other words, the major event is not enough to cause an external
shock; it also has to be exploited successfully by a competing coalition which is
better equipped to learn and adapt. Such processes may vary, from the election of
a new government with beliefs that favor one coalition over another, to a “focusing
event” such as an environmental crisis that undermines the ability of a coalition
to defend current policy or allows another coalition to successfully redefine
the policy problem and seek new solutions. In each case, some coalitions may be
a source of stability and there is a process of mediation within subsystems. While
many of these external factors—such as global recession, environmental crises,
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and demographic changes—appear to have an independent causal value, coalitions
influence how sovereigns understand, interpret, and respond to them. External
events provide new resources to some coalitions. It is then up to those coalitions to
use them.
In other words, coalitions have to exercise power effectively to maintain or
improve their positions within subsystems. This regards a mix of resources available
to them—resources to gather and interpret information, the weight of public opinion
and their ability to rally active public support, their funding—and the skillfulness
of their leadership (Sabatier 1993: 29; Weible 2006: 99–100; Sabatier and Weible
2007: 201–3).
ACF Expansion and Revision
The ACF is based on a “Lakatosian” approach to science (Jenkins-Smith, in correspondence,
2010; Cairney 2012: 219). In effect, the ACF as a scientific project resembles
an advocacy coalition: secondary aspects are amended in the light of empirical
testing, while the core remains relatively insulated and the policy core is unlikely to
change in the absence of a monumental failure to explain its object of study (Cairney
2013). As in an advocacy coalition, its main authors are unlikely to reject the ACF as
a broad understanding of the policy-making system, but they are more likely than
most policy scholars to revise certain aspects of their theory in the light of experience.
There is a difficult balance to maintain: a “Popperian” attachment to falsifying
hypotheses derived from the theory operates alongside a theory that is revised to
maintain its value.
This revision process has taken place regularly since 1993 and the ACF flow diagram
in Figure 33.1 differs markedly from the original model derived from studies of the US
(in areas such as environmental policy). Sabatier and Jenkins-Smith’s review sought to
clarify:
• the role of administrative organizations (as potential members of coalitions but
also relatively subject to belief-change following a change of government) and
“hierarchically superior jurisdictions” which may, in rare cases, override subsystem
policy in the face of opposition from the dominant coalition (1993: 217;
Sabatier 1998: 119);
• the impact of technical information on policy (Sabatier and Jenkins-Smith
1993: 219);
• the difference, within policy core beliefs, between “normative precepts” that are
unlikely to change, and “precepts with a substantial empirical content” that are
more likely to change in the light of new evidence (Sabatier and Jenkins-Smith
1993: 220–1); and,
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• that an external event will not cause subsystem change unless at least one coalition
has the skill to exploit its new opportunity (Sabatier and Jenkins-Smith
1993: 222).
Further revisions were prompted by the rise in ACF applications to countries other
than the US. For example, the relative subsystem stability may only apply to “mature”
subsystems and they may not yet have developed in “nascent” subsystems (Sabatier
1998: 110–14; Sabatier and Weible 2007: 192). Sabatier and Weible (2007: 199) also sought
to address wider criticisms:
that it is too much of product of its empirical origins in American pluralism. It
makes largely tacit assumptions about well-organized interest groups, missionoriented
agencies, weak political parties, multiple decision making venues, and the
need for supermajorities to enact and implement major policy change.
The ACF diagram was revised to reflect: (a) the generally higher “degree of consensus
needed to institute a major policy change” in political systems with proportional
representation elections and a norm of minority or coalition government
(Sabatier 1998: 121; Sabatier and Weible 2007: 200); and (b) the often-lower availability
of multiple, open venues in “corporatist” systems characterized by centralized
decision-making, restricted to a small number of leaders of business groups and
unions (2007: 200). Both factors combine to produce the relatively new “long-term
coalition opportunity structures” box in Figure 33.1. The main authors also generally
advise caution when applying the ACF to countries in which we might make
different assumptions about, for example, the role of the civil service (only some
countries have politically appointed bureaucrats), the relationships between levels
and types of government (not all countries have a US-style constitution setting out
their respective responsibilities), and the balance of power between political parties
(Sabatier 1998). A combination of such factors suggests that subsystems, as the main
focus of analysis, can be defined in quite different ways in different systems (Cairney
2012: 214).
A further major revision by Sabatier and Weible (2007: 204–7) identified two
sources of policy change: the distinction between internal and external shocks,
already described, and “alternative dispute resolution”, which refers to the conditions
(including a widespread recognition of stalemate, a process that includes
stakeholders who respect a neutral chair, and an ability to resolve issues empirically)
in which major policy change can result from negotiated agreements between
“previously warring coalitions” (2007: 205–7). More recent revisions include
attempts to provide better descriptions of the role of public opinion, from simply
being subsumed under “socioeconomic conditions” as a source of external constraint,
towards treating it as a resource to be used and manipulated by coalitions
(Jones and Jenkins-Smith 2009: 39).
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How the ACF has Shaped
Thinking and Research
According to John (2003: 481), the ACF was one of two approaches (alongside punctuated
equilibrium theory) to mark a ““punctuation” in thinking about public
policy.” Its most famous exposition (Sabatier and Jenkin-Smith 1993) has been cited
over 2,200 times and several related works have been cited from 1,200 to 1,870 times
in the last 15–20 years. It has produced over 80 applications in publications by the
authors, their colleagues, and other inspired scholars (Weible et al. 2009) and is now
an almost-automatic inclusion in textbooks and overviews of the policy literature
(including Birkland 2005; Cairney 2012; John 2012; Smith and Larimer 2009). It has
been used regularly to explain policy-making outside the US: in the European Union
and some member states; in countries such as Canada, Australia, Sweden, and Japan;
and, in fewer cases, Africa, South America, and Asia (Sabatier and Weible 2007: 217–20;
Weible et al. 2009: 125). Some of the most cited examples include: forestry policy (Elliott
and Schlaepfer 2001a, 2001b); drug policy in Switzerland (Kübler 2001); California
marine protected area policy (Weible 2006), and the US President’s National Economic
Council (Dolan 2003).
However, such applications have been limited in two main ways. First, most ACF
case studies “remain within environmental and energy policies” (Weible et al.
2009: 125) which could exaggerate, for example, the importance of the European Union
(environmental policy is the most Europeanized, compared to areas such as health
and education with often-minimal EU involvement) and international cooperation or
international organizations (Litfin 2000).
Second, the ACF is often applied in a rather loose way, often without adopting the
methods, recommended by its main authors (Jenkins-Smith and Sabatier, 1993c), that
tend to be used by authors who became closely associated with the ACF (e.g. see Weible
2007: 104; Zafonte and Sabatier 2004). The ACF may be used, as part of a desktop exercise,
to provide one of many conceptual perspectives on an empirical case study that
has been produced relatively independently of the ACF method (Cairney 2013: 9). Case
studies may be “ACF-inspired” without testing any of its hypotheses (Weible et al.
2009: 128)—a limitation that may seems particularly problematic for a framework
designed to generate hypotheses to allow confirmation or revision.
That said, many of the 80 studies covered by Weible et al. (2009) confirm that a major
external event is a necessary but insufficient condition for major subsystem change (18
studies) and that it often, but not always, prompts a significant number of members to
defect to other coalitions (13 studies). Others (20 studies) broadly confirm that policy
learning across coalitions tends to be more likely in less contentious areas with relatively
high potential to resolve issues empirically. In other words, despite these limitations,
the ACF has still been subject to an unusually high amount of testing in a field
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(political science and public policy) that has not produced many studies in which people
examine the world using a common framework organized by a small number of
scientists (other examples include the Policy Agendas Project (PAP), <http://www.policyagendas.org>,
and the Institutional Analysis and Development Framework (IAD),
Poteete et al. 2010).
The ACF and Science
A further aspect of the ACF’s influence is that represents not only an approach to the
study of contemporary public policy but also a set of ideas about how we should practice
science. The ACF itself was generally modeled on a “Lakatosian” approach to science
and Paul Sabatier (1999, 2007) in particular sought to use some of these ideas about
the scientific study of policy-making to set the agenda for the evaluation—and possible
combination or rejection—of the most popular theories of public policy.
Sabatier (2007b: 330; 1999) highlights three main advantages to the use of multiple
theories: it provides “some guarantee against assuming that a particular theory is the
valid one”; it shows us that “different theories may have comparative advantages in different
settings”; and, the knowledge of other theories “should make one much more
sensitive to some of the implicit assumptions in one’s favoured theory.” He then outlines
a set of principles that can be used to decide how useful a theory might be in general
or in particular situations. A similar approach was used by Eller and Krutz (2009)
in a special issue of the Policy Studies Journal.
It is important not to enforce this set of criteria too strongly. For example, Cairney
(2013: 10) combines their (Sabatier 2007b; Eller and Krutz 2009) arguments to produce
a simple set of principles for scientific comparison:
1. A theory’s methods should be explained so that they can be replicated by others.
2. Its concepts should be clearly defined, logically consistent and give rise to empirically
falsifiable hypotheses.
3. Its propositions should be as general as possible.
4. It should set out clearly what the causal processes are.
5. It should be subject to empirical testing and revision.
As stated, these principles are difficult to live up to fully (indeed, it is debatable if even
the ACF lives up to them—Cairney 2013: 10). They have the potential to present a misleading
picture of scientific research, ignoring the extent to which studies are generally
not replicated (we accept a large number of findings on trust); people follow different
rules and engage on different terms when discussing research (without a way for us to
decide which terms are the most appropriate); and a complex world does not allow us to
falsify hypotheses in a straightforward way (if at all). In other worlds, there in an inescapably
subjective element to scientific research in which we pursue our beliefs, and
confirm or deny the value of theories, by using criteria that do not allow us to validate
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one claim and reject another unproblematically (Cairney 2013: 11–12; see Parsons
2000: 129 for stronger criticisms). On this basis, people like Radaelli (2000: 134) present
important objections to the unquestioning adherence to these principles, calling for a
balance between our needs to generalize (to explain a small part of all cases) and to be
more specific (to explain a large part of particular cases).
Yet we can infer Sabatier’s attitude to science in more than one way—although he
makes a public commitment to certain principles, he does not necessarily use them in
an overly narrow or too punitive way. Take, for example, the use of these principles in
a rather hard way to question the value of the “stages heuristic” (a focus on the policy
cycle as it follows certain stages, including agenda setting, formulation, legitimation,
implementation, evaluation, and maintenance/termination). Sabatier (1991: 147) argues
strongly that it “has outlived its usefulness and must be replaced, in large part because
it is not a causal theory.” This argument is outlined in greater depth in texts such as
Jenkins-Smith and Sabatier (1993a, 1994), but with a combination of criticisms based on
scientific principles (it “does not provide a clear basis for empirical hypothesis-testing”)
and an argument, that can be found in the wider literature, about its descriptive limitations
(which have already prompted a whole series of alternatives to stage-based
research— Jenkins-Smith and Sabatier 1994: 177–8; Cairney 2012: 41). In other words,
this is a combination of a specific attachment to scientific principles with a broader
(and perhaps more openly subjective) focus on the extent to which an approach is valuable.
Further, Sabatier (1999) proved, at least temporarily, able to humor the approaches
of which he did not approve (also note Sabatier’s (1986) earlier engagement with the
implementation literature) and we can see the same mixed attitude towards multiple
streams analysis in Sabatier (1991, 1999, 2007b).
In other words, if we read the language used by Sabatier (2007b: 8–10), it often
appears softer on scientific criteria; establishing a commitment to them but being reasonably
open to challenge. For example, “Each framework must do a reasonably good
job of meeting the criteria of a scientific theory” and “be the subject of a fair amount of
recent conceptual development and/or empirical testing” (2007: 8, emphasis added).
Further, Sabatier (2007: 8) uses rather subjective criteria for the inclusion of theories
in his edited books, including a statement that could just as easily have been made by
Fischer (2003): “A number of currently active policy scholars must view it as a viable
way of understanding the policy process” (Sabatier 2007: 8).
Indeed, Sabatier’s own reflection on his scientific bent (2000: 137) describes perhaps
an impish description of his position—“presuppositionist neo-positivist”—
and a more serious, broad commitment to good communication between scientists,
summed up by the Popper-like phrase “be clear enough to be proven wrong.” As
Jenkins-Smith (2013) describes, “it was fine to be wrong as long as you were clearly
wrong (and hence could learn from it) . . . clarity begets clarity, mush begets mush.”
This broad attitude is appropriate in scientific fields where we rely on the knowledge
of others, we seek ways to communicate and learn from each other, we need to decide
who to listen to (and who to ignore), and we want to avoid fruitless debates at cross
purposes (Cairney 2013: 15).
OUP UNCORRECTED PROOF – FIRSTPROOFS, Tue Nov 11 2014, NEWGEN
Balla170614OUK.indb 493 11/21/2014 5:27:41 PM
494 Cairney
We may also want to discourage people from stretching their theories too much
to match the evidence rather than seek a more convincing theory. For a “Lakatosian”
approach to science, this is an incredibly tricky balancing act: between adapting your
theory continuously when you admit you are wrong (risking the criticism that you are
changing your ideas too much), and making sure that you are adapting to be more right
rather than simply to protect the core of your argument (which includes, for the ACF,
the identification of “non-trivially coordinated coalitions based on belief-systems,” the
“relative autonomy of subsystems,” and the importance of focusing on policy change
over a full cycle—Jenkins-Smith, in correspondence, 2010). The irony for the ACF is
that it may be built on a relatively open, honest, and dynamic approach, but have the
potential to look otherwise.
Conclusion: The ACF’s Legacy on,
and Links to, the Wider World of
Public Policy
There are not many policy frameworks or theories that try to provide an overview of
the entire policy process; to try to explain the interaction between “the five core causal
processes . . . institutions, networks, socioeconomic process, choices, and ideas” (John
2003: 488). For example, although it perhaps remains most relevant to the study of US
politics (in some policy areas), it also became useful as a way to restate the importance
of policy subsystems in countries like the UK facing an alleged stagnation of policy
networks research (see e.g. Dowding, 1995: 147–50). Further, although it was by no
means the first policy framework to discuss the important role of ideas (it owes much to
the work of Majone 1980, and came after Kingdon’s 1984 influential book), it treats their
importance as part of a wider explanation, perhaps reducing the potential for critics
to suggest that ideas are given explanatory value independent of their acceptance and
use by actors within coalitions. It is difficult to get this balance right, but the ACF often
succeeds:
Raw political power may carry the day against superior evidence, but the costs to
one’s credibility in a democratic society can be considerable. Moreover, resources
expended—particularly in the form of favors called in—are not available for
future use. Thus those who can most effectively marshal persuasive evidence,
thereby conserving their political resources, are more likely to win in the long
run than those who ignore technical arguments. (Jenkins-Smith and Sabatier
1993b: 44–5; compare with the similar tone in Majone 1989: 2; Kingdon 1984: 131–3;
Hall 1993: 291–2).
Similarly, it goes some way to address the charge, made against previous systems
and socioeconomic theorists (from Easton (1953) to Dawson and Robinson (1963)
OUP UNCORRECTED PROOF – FIRSTPROOFS, Tue Nov 11 2014, NEWGEN
Balla170614OUK.indb 494 11/21/2014 5:27:41 PM
Sabatier, “An Advocacy Coalition Framework” 495
and Hofferbert (1974)) that external factors determine, or largely explain, outcomes
(Cairney 2012: 113). External factors are important, and may prompt major change,
but “shocks” refer largely to the ways in which coalitions compete to adapt to, and
interpret, such events. The ACF has a less developed view about the role of institutions—although
its focus on a myriad of actors and organizations, at multiple levels
of government, helps us understand institutions as forms of behavior linked to rules
and norms accepted or challenged by different coalitions (Sabatier 1993: 25; Sabatier
and Weible 2007: 194; Cairney 2012: 217). Finally, there is much less of a focus (than
in most other accounts of policy-making) on “bounded rationality” (Simon 1976) as
the starting point for considering how policy-makers consider and make choices,
partly because issues about how someone might articulate and pursue their interests
is subsumed within a consideration of the construction and operation of belief systems
(Cairney 2012: 215–16; 282–3).
This degree of conceptual coverage and academic ambition may be the key to its
potential longevity in the policy literature. Like the PAP and IAD, the ACF is one of
a small number of approaches in policy studies linked, initially and very strongly, to a
small core group of authors, before it became established as an approach that could be
used without the involvement of its founders.![]()
Je kunt toch een afkoelban aanvragen tegenwoordig?quote:Op woensdag 17 januari 2018 00:38 schreef Amoeba het volgende:
Ik moet eigenlijk echt ff 2 weken een ban hebben![]()
Waarom herhaal de laatste paar zinnen?quote:Op woensdag 17 januari 2018 00:39 schreef devzero het volgende:
[..]
This degree of conceptual coverage and academic ambition may be the key to its potential longevity in the policy literature. Like the PAP and IAD, the ACF is one of a small number of approaches in policy studies linked, initially and very strongly, to a small core group of authors, before it became established as an approach that could be used without the involvement of its founders.
Uw ADH vitamine Worst
Met vriendelijke groenten![]()
Oh, ik quote ook gewoon maar een pdf zonder het te lezenquote:Op woensdag 17 januari 2018 00:48 schreef hemarookworst het volgende:
[..]
Waarom herhaal de laatste paar zinnen?![]()
Je moederquote:Op woensdag 17 januari 2018 01:01 schreef devzero het volgende:
[..]
random quotes vragen om random quotes. Ook al zijn ze gerelateerd.![]()
Snelquote:Op woensdag 17 januari 2018 01:14 schreef devzero het volgende:
[..]
Je zult moeten wachten tot hema klaar is.![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Jezus man ze is lelijk én kan niet interviewenquote:![]()
Naar het schijnt is het keldertje daar het meest bezochte subforum.quote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Samenwerking aan gaan voor meer bezoekers
Billy Turf Award - Grootste Utopia fan
› De winnaars zijn: markdeajaxfan!![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Jullie gaan verliezen zondagThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Utrecht uit is lastiger verwacht ikBilly Turf Award - Grootste Utopia fan
› De winnaars zijn: markdeajaxfan!![]()
Van Persie effectThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Naja, het gaat mij ook totaal niet aan waar anderen hun vrije tijd aan willen besteden. Maar om nou je favoriete club in je username op te namen![]()
![]()
quote:Op woensdag 17 januari 2018 02:21 schreef devzero het volgende:
Naja, het gaat mij ook totaal niet aan waar anderen hun vrije tijd aan willen besteden. Maar om nou je favoriete club in je username op te namenThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Dr.mikeyfeyenoordfan is nog beschikbaarBilly Turf Award - Grootste Utopia fan
› De winnaars zijn: markdeajaxfan!![]()
Nieuwe kloonquote:Op woensdag 17 januari 2018 02:26 schreef markdeajaxfan het volgende:
Dr.mikeyfeyenoordfan is nog beschikbaar![]()
Linkquote:Op woensdag 17 januari 2018 02:26 schreef devzero het volgende:
[..]
Gelukkig niet, ik wil nog even naar de fotoos van dexter1 kijken vanacht![]()
Even kijken of devtwente er nog is.quote:Op woensdag 17 januari 2018 02:26 schreef markdeajaxfan het volgende:
Dr.mikeyfeyenoordfan is nog beschikbaar![]()
Ben jij stiekem die geest.quote:Op woensdag 17 januari 2018 02:26 schreef devzero het volgende:
[..]
Gelukkig niet, ik wil nog even naar de fotoos van dexter1 kijken vanachtThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Neequote:Op woensdag 17 januari 2018 02:28 schreef devzero het volgende:
[..]
Heb je de link naar dexter1.rar niet gekregen van haags?![]()
Zit je met een onzichtbaarheidsmantel van Harry Potter Dexter te doen en dat kind maar denken dat het geesten zijn.quote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Advocaat 1e wedstrijd verlorenBilly Turf Award - Grootste Utopia fan
› De winnaars zijn: markdeajaxfan!![]()
Sinds ik weet dat Dexter eigenlijk Anne-Fleur heet, 23 jaar oud is en op hockey zit, heb ik daar weinig zin meer in. Flip heeft die mantel nu en beloofde er niets verkeerds mee toe doen.quote:Op woensdag 17 januari 2018 02:30 schreef Dr.Mikey het volgende:
[..]
Zit je met een onzichtbaarheidsmantel van Harry Potter Dexter te doen en dat kind maar denken dat het geesten zijn.![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Gaat het zelfde presteren als rijkaard degraderenBilly Turf Award - Grootste Utopia fan
› De winnaars zijn: markdeajaxfan!![]()
Goed puntquote:Op woensdag 17 januari 2018 02:37 schreef markdeajaxfan het volgende:
Gaat het zelfde presteren als rijkaard degraderen![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Gewoon doggy nemen.quote:Op woensdag 17 januari 2018 02:42 schreef devzero het volgende:
[..]
Wel pronte tietjes, maar ik ben bang dat ze tijdens het neuken alleen maar zal liggen giegelen
[ afbeelding ]They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Don en Ad Stacey.They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Je moeder had nog van mijn verse eieren geproefdquote:
Uw ADH vitamine Worst
Met vriendelijke groenten![]()
Ze heeft wel de hele avond moeten flossenquote:Op woensdag 17 januari 2018 03:05 schreef hemarookworst het volgende:
[..]
Je moeder had nog van mijn verse eieren geproefd![]()
![]()
dat zijn pa's eierenquote:Op woensdag 17 januari 2018 03:06 schreef devzero het volgende:
[..]
Ze heeft wel de hele avond moeten flossen
[ afbeelding ]Uw ADH vitamine Worst
Met vriendelijke groenten![]()
quote:Goede man.quote:Of ik ziek ben? Nee, zo voel ik me niet. Nee, topfit ook niet. Nooit geweest trouwens.![]()
SterkteThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Kleine oplevingThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Is die weer lastig geweest?quote:
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Mja moet maarThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Heb 2 stukjes van de eerste twee videos gekeken en hij speelt niet slecht, maar waarom moet het nou weer in dat enorme steenkolen engels.quote:![]()
Maar goed drukte hebben de mods aan zichzelf te danken als je eenn plaats biedt voor een SC rond een user... helemaal dezeI think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Niet gekeken. Sws aandacht schenkenquote:Op woensdag 17 januari 2018 03:22 schreef devzero het volgende:
[..]
Heb 2 stukjes van de eerste twee videos gekeken en hij speelt niet slecht, maar waarom moet het nou weer in dat enorme steenkolen engels.
Uw ADH vitamine Worst
Met vriendelijke groenten![]()
Mee eensquote:Op woensdag 17 januari 2018 03:23 schreef FlippingCoin het volgende:
Maar goed drukte hebben de mods aan zichzelf te danken als je eenn plaats biedt voor een SC rond een user... helemaal dezeThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Zuinigheid kunnen we ook in dit topic wel gebruikenquote:Op dinsdag 16 januari 2018 23:17 schreef Braddie het volgende:
[..]
JaheIk ben er ook zeer blij mee en zeer zuinig op, blijft altijd op z`n plekje staan
![]()
Zit je nu je film overal te promoten?quote:![]()
Film van Mikey?I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Braddie lokquoten hierquote:Op woensdag 17 januari 2018 03:25 schreef devzero het volgende:
[..]
Zuinigheid kunnen we ook in dit topic wel gebruiken
Dan wordt punten halen wel een stuk zwaarder.
Ja zwaarder
Haha zwaarderUw ADH vitamine Worst
Met vriendelijke groenten![]()
Iemand moet toch zijn gewicht in de schaal gooien om haags te verslaanquote:Op woensdag 17 januari 2018 03:27 schreef hemarookworst het volgende:
[..]
Braddie lokquoten hier
Dan wordt punten halen wel een stuk zwaarder.
Ja zwaarder
Haha zwaarder![]()
Hema
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Traveling somewhere
Could be anywhere
There's a coldness in the air
But I don't care
We drift deeper
Life goes on
We drift deeper
Into the soundUw ADH vitamine Worst
Met vriendelijke groenten![]()
Trek in pizza
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Ik eet ook graag veel misschien kunnen we vrienden worden
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Denk dat mijn hond die wel op heeft danquote:Op woensdag 17 januari 2018 03:35 schreef devzero het volgende:
[..]
Misschien ligt er nog wel een stuk onder je bank
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Nu tosti eten dan maarI think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Had gister niet genoeg gegeten nog voor doel nu iets minder gewoon 3 tostisquote:I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
In het eerste topic van braddie ging die miepen omdat possetje filmpje werd gepost.quote:Op woensdag 17 januari 2018 03:26 schreef devzero het volgende:
[..]
Zit je nu je film overal te promoten?They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Doel? Probeer je een aantal calorieen binnen te krijgen voor gewichtsheffen oid?quote:Op woensdag 17 januari 2018 03:38 schreef FlippingCoin het volgende:
[..]
Had gister niet genoeg gegeten nog voor doel nu iets minder gewoon 3 tostis![]()
Kom maar langs.quote:
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Ja precies dat.quote:Op woensdag 17 januari 2018 03:39 schreef devzero het volgende:
[..]
Doel? Probeer je een aantal calorieen binnen te krijgen voor gewichtsheffen oid?
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Possetje is de echte baas en braddie weet dat hij daar niet tegenop kan.quote:Op woensdag 17 januari 2018 03:39 schreef Dr.Mikey het volgende:
[..]
In het eerste topic van braddie ging die miepen omdat possetje filmpje werd gepost.![]()
Possetjes gunfactor is veel groterI think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Heeft die trouwens een ban of is hij fok beu ?They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Doe ik ook graag. Alleen weet ik wel goed balans te houden tussen eten en bewegingquote:Op woensdag 17 januari 2018 03:34 schreef devzero het volgende:
Lach er maar om, die jongen kan er ook niets aan doen dat hij graag lekker (heeel veel ) eet.Uw ADH vitamine Worst
Met vriendelijke groenten![]()
Oké
Doe je ook kaas aan de buitenkant? Ik zag Jamie Olivier dat ooit een keer doen. Zelf nog nooit geprobeerd.![]()
Kan beide is wel lekker af en toe jaquote:Op woensdag 17 januari 2018 03:41 schreef -sabine- het volgende:
Oké
Doe je ook kaas aan de buitenkant? Ik zag Jamie Olivier dat ooit een keer doen. Zelf nog nooit geprobeerd.I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Preciesquote:Op woensdag 17 januari 2018 03:41 schreef hemarookworst het volgende:
[..]
Doe ik ook graag. Alleen weet ik wel goed balans te houden tussen eten en beweging
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Aha, een plannetje om Haagse te verslaan.
Ik merk dat wanneer hij na twee keer gelijk na mij post om het posten al opgeef. Het is een doorzetter.
Moet iemand van goede huize komen dan. Met veel tijd.![]()
Schennis schoppen in KLB dan is die deuk met modden
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Lol die Indische Microsoft scam nu op het nieuws, wat is het twintig jaar te laat?
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
ik kreeg ook spontaan een huillach toen ik het nieuws lasquote:Op woensdag 17 januari 2018 03:47 schreef FlippingCoin het volgende:
Lol die Indische Microsoft scam nu op het nieuws, wat is het twintig jaar te laat?Uw ADH vitamine Worst
Met vriendelijke groenten![]()
50 in adam de laatste maand. Ik ben ook oud, wordt wekelijks wel 3x gebeld door die gasten. Maakt niet uit wat je zegt of doet.quote:Op woensdag 17 januari 2018 03:47 schreef FlippingCoin het volgende:
Lol die Indische Microsoft scam nu op het nieuws, wat is het twintig jaar te laat?![]()
Oh wtf ik heb dat nooit gehad nog.quote:Op woensdag 17 januari 2018 03:50 schreef -sabine- het volgende:
[..]
50 in adam de laatste maand. Ik ben ook oud, wordt wekelijks wel 3x gebeld door die gasten. Maakt niet uit wat je zegt of doet.![]()
EikelsI think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Hij heeft Fok! altijd open op zijn telefoon (en een hoop tijd en doorzettingsermogen). Dan kun je gewoon direct reageren als iemand anders post. Jammer genoeg is het nooit inhoudelijk want dat duurt te lang.quote:Op woensdag 17 januari 2018 03:45 schreef -sabine- het volgende:
Aha, een plannetje om Haagse te verslaan.
Ik merk dat wanneer hij na twee keer gelijk na mij post om het posten al opgeef. Het is een doorzetter.
Moet iemand van goede huize komen dan. Met veel tijd.![]()
Niet altijd, maar niet nooit. Als het gewone reacties zijn geef ik ook niet op. Maar Ey, dat is het spel hier. Het is geen sc.quote:Op woensdag 17 januari 2018 03:51 schreef devzero het volgende:
[..]
Hij heeft Fok! altijd open op zijn telefoon (en een hoop tijd en doorzettingsermogen). Dan kun je gewoon direct reageren als iemand anders post. Jammer genoeg is het nooit inhoudelijk want dat duurt te lang.![]()
Ik heb ze de laatste tijd niet zo vaak meer, vroeger ongeveer 1x per 3 maanden.quote:Op woensdag 17 januari 2018 03:50 schreef -sabine- het volgende:
[..]
50 in adam de laatste maand. Ik ben ook oud, wordt wekelijks wel 3x gebeld door die gasten. Maakt niet uit wat je zegt of doet.![]()
Ik ga koezen koese koesen whatever doei
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
Ik juist vaker nu.quote:Op woensdag 17 januari 2018 03:52 schreef devzero het volgende:
[..]
Ik heb ze de laatste tijd niet zo vaak meer, vroeger ongeveer 1x per 3 maanden.
Hoe ben je er afgekomen?
Koes lekker, Flip![]()
Heb je tips?quote:Op woensdag 17 januari 2018 03:53 schreef hemarookworst het volgende:
Ben gelukkig ook nog nooit gebeld daarover![]()
En je hebt je er mentaal helemaal op voorbereid om een leuk antwoord te gevenquote:Op woensdag 17 januari 2018 03:53 schreef hemarookworst het volgende:
Ben gelukkig ook nog nooit gebeld daarover![]()
![]()
Dat deed ik het eerste jaar, of zoiets.quote:Op woensdag 17 januari 2018
03:54 schreef devzero het volgende:
[..]
Geen idee, telkens gewoon direct ophangen.
Daarna hard schreeuwen. Fluiten. Lachen.
Daarna zeggen dat ik geen Engels kon.
Nu zeg ik dat ze een legale job moeten zoeken en ik nooit zal doen wat zij zeggen.![]()
Dat lijkt mij nu ook weer de beste en kortste klap.quote:Op woensdag 17 januari 2018 03:54 schreef devzero het volgende:
[..]p.
Geen idee, telkens gewoon direct ophangen.![]()
Misschien zeggen dat je een koe bent?
I think that it’s extraordinarily important that we in computer science keep fun in computing
For all who deny the struggle, the triumphant overcome
Met zwijgen kruist men de duivel![]()
jaquote:Op woensdag 17 januari 2018 03:54 schreef devzero het volgende:
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En je hebt je er mentaal helemaal op voorbereid om een leuk antwoord te geven
Uw ADH vitamine Worst
Met vriendelijke groenten![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
OepsThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
quote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
quote:Op woensdag 17 januari 2018 04:20 schreef devzero het volgende:
Ja, slapen moeten we allemaal. Maar gelukkig komt sp3c zometeen langs om iedereen in te stoppen!They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
De nachtzusterThey wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Iedere ochtend weer.quote:Op woensdag 17 januari 2018 04:20 schreef devzero het volgende:
Ja, slapen moeten we allemaal. Maar gelukkig komt sp3c zometeen langs om iedereen in te stoppen!
Koes lekker heren. Ik ga nog even pulp kijken.![]()
![]()
pulp fiction?quote:Op woensdag 17 januari 2018 04:23 schreef -sabine- het volgende:
[..]
Iedere ochtend weer.
Koes lekker heren. Ik ga nog even pulp kijken.![]()
Success dan maar met je soapsquote:Op woensdag 17 januari 2018 04:26 schreef -sabine- het volgende:
[..]
Shit, rotzooi.Pulp fiction keek ik vroeger met mijn zoon, die ligt niet in mijn bed![]()
![]()
mogguh!Op zondag 8 december 2013 00:01 schreef Karina het volgende:
Dat gaat me te diep sp3c, daar is het te laat voor.![]()
Nog steeds in Thailand jaHet leven is geen krentenbol...
Volg de pijlen.
I am the Lizard King. I can do anything.![]()
quote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
nou bedankt jongons
Op zondag 8 december 2013 00:01 schreef Karina het volgende:
Dat gaat me te diep sp3c, daar is het te laat voor.![]()
quote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
![]()
They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
quote:They wish to cure us. But I say to you, WE are the cure!
"WHAT IF YOU'RE RIGHT AND THEY'RE WRONG?"
R.I.P DTS.![]()
Fijne dag vandaag met werken, luieren of wat jullie ook doen.
Ik ga een uurtje lesgeven en verder niks doen. Omdat het kan, nu.![]()
Hey aloah nood haags rdg! alles rustig?Een vel leeg papier kan altijd nog een mooie tekening worden.![]()
mwahquote:Op woensdag 17 januari 2018 08:03 schreef Pharkus het volgende:
Hey aloah nood haags rdg! alles rustig?Zonder wrijving geen glans![]()
Nou jeetje zeg, ik ben er ook nogquote:Op woensdag 17 januari 2018 08:03 schreef Pharkus het volgende:
Hey aloah nood haags rdg! alles rustig?![]()
![]()
Ja hoor, zo even verder slapen op kantoor, zodat ik vanavond weer uitgerust naar bed kan!quote:Op woensdag 17 januari 2018 08:03 schreef Pharkus het volgende:
Hey aloah nood haags rdg! alles rustig?![]()
Jij ook zo'n zware dag?![]()
How is life?quote:Niet goed geslapen?quote:Op woensdag 17 januari 2018 08:22 schreef haags_kwartiertje het volgende:
Ik ben best wel een beetje moe![]()
Gaat wel. Maar ben nog niet aan het werk.quote:Op woensdag 17 januari 2018 08:26 schreef noodgang het volgende:
[..]
Prima!
Lekker aan het werk en bij jou?![]()
Wil je wel weer aan het werk, of nog even niet?quote:Op woensdag 17 januari 2018 08:26 schreef Hexx. het volgende:
[..]
Gaat wel. Maar ben nog niet aan het werk.![]()
Nee, ik wil nog even niets doen. Volgende week weer.quote:Op woensdag 17 januari 2018 08:31 schreef noodgang het volgende:
[..]
Wil je wel weer aan het werk, of nog even niet?![]()
jawel lang ookquote:Op woensdag 17 januari 2018 08:24 schreef Hexx. het volgende:
[..]
How is life?
[..]
Niet goed geslapen?Zonder wrijving geen glans![]()
Ik heb stiekem ook best zin om even een week niks te doenquote:Op woensdag 17 januari 2018 08:32 schreef Hexx. het volgende:
[..]
Nee, ik wil nog even niets doen. Volgende week weer.![]()
![]()
Je kunt vakantie opnemenquote:Op woensdag 17 januari 2018 08:33 schreef noodgang het volgende:
[..]
Ik heb stiekem ook best zin om even een week niks te doen![]()
![]()
Ik heb eind maart. Dan gaan we naar Utrecht.quote:Op woensdag 17 januari 2018 08:36 schreef noodgang het volgende:
[..]
Nog een maand, dan heb ik een week vakantie
Wat gaan jullie doen?
[ Bericht 0% gewijzigd door #ANONIEM op 17-01-2018 08:37:47 ]![]()
Ik hoop nog een goedkoop vliegticket naar iets zonnigs te vindenquote:Op woensdag 17 januari 2018 08:37 schreef Hexx. het volgende:
[..]
Ik heb eind maart. Dan gaan we naar Utrecht.
Wat gaan jullie doen?![]()
![]()
Ach jaaaa!!! Maar is rbnb betrouwbaar?quote:Op woensdag 17 januari 2018 08:38 schreef noodgang het volgende:
[..]
Ik hoop nog een goedkoop vliegticket naar iets zonnigs te vinden![]()
airbnb is wel betrouwbaar, al vaak gedaan, helaas hebben die geen vliegticketsquote:Op woensdag 17 januari 2018 08:40 schreef Hexx. het volgende:
[..]
Ach jaaaa!!! Maar is rbnb betrouwbaar?![]()
![]()
quote:Op woensdag 17 januari 2018 08:44 schreef noodgang het volgende:
[..]
airbnb is wel betrouwbaar, al vaak gedaan, helaas hebben die geen vliegtickets![]()
![]()
Heb je nooit via aribnb iets geboekt? Die mensen zijn vaak zo aardig, hartstikke bang voor slechte reviewsquote:![]()
![]()
Tah tapoh kowe yohquote:Op woensdag 17 januari 2018 08:45 schreef noodgang het volgende:
[..]
Heb je nooit via aribnb iets geboekt? Die mensen zijn vaak zo aardig, hartstikke bang voor slechte reviews![]()
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