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Scientific Credibility, Disagreement, and Error Costs in 17 Biotechnology Policy Subsystems

Bibliographic Data

ID6329026
AuthorsÉric Montpetit (0000-0003-3470-0657, Université de Montréal, corresponding author)
Year2011
Volume39
Issue3
Pages513-533
Publication date2011-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Studies Journal (JOURNAL)
Journal identifiersISSN: 0190-292X • E-ISSN: 1541-0072
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1541-0072.2011.00419.x
OpenAlexW1603102344
LanguageEN
Citations received38
References cited35

One of the original objectives of the advocacy coalition framework (ACF) was to shed light on the role of science in policymaking. The ACF depicts subsystem scientists as political actors just like any other. Unfortunately, science has never become a major theme of research within the framework and, as a consequence, its role in policymaking remains under‐theorized, leaving ample room for interpretation. This article seeks to explore the validity of three propositions about the role of science in policy. The first two are derived from the ACF: (i) the capacity of scientists to provide credible advice is affected by the harshness of the political debates dividing the policy subsystem; and (ii) agreement among scientists is just as common as among other groupings of policy actors. The third is derived from an “error costs” argument: (iii) Disagreements among scientists are even more pronounced than disagreements among other policy actors. Using the results of a survey of policy actors in 17 biotechnology subsystems, this article finds support for the first and third propositions. Indeed, scientists' participation in political divisions might even be underestimated by the ACF. The article concludes with attempts to clarify the role of scientists within the ACF, including discussions of ambiguity regarding the role of professional forums and of scientists in between‐coalition learning within policy subsystems

Ambiguity · Argument (complex analysis · Credibility · Economics · Evidence-based policy · Interpretation (philosophy · Policy Sciences · Political science · Politics · Positive economics · Public relations · Science policy · Sociology · Theme (computing · Computer Science · Law · Policy Transfer and Learning · Public Administration · Risk Perception and Management · Sustainability and Climate Change Governance

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Unique citing works38
Citations per year2,53
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 38

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