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Record W2956533597 · doi:10.1017/9789048513086.016

Is Evidence-based Policy Making Really Possible? Reflections for Policymakers and Academics on Making use of Research in the Work of Policy

2012· other· en· W2956533597 on OpenAlexaboutno aff
Amanda Williams

Bibliographic record

Venuenot available
Typeother
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Policy makingPolitical scienceEvidence-based policyPublic administrationPolicy analysisPublic relationsPublic economicsEconomicsEngineeringMedicine

Abstract

fetched live from OpenAlex

Introduction It has been persuasively argued throughout this book and elsewhere (Colebatch 2006; Radin 2000) that mainstream Western accounts of the policymaking process often bear little resemblance to the realities of those who ‘accomplish’ the actual policy work on a daily basis. The discussion that follows examines an area where the disjuncture between outcome-focused accounts of how things ought to work, and interpretive descriptions of how the policy process is experienced is pronounced. It involves the translation of academic research into something that is useful in policy work. In this case, the lack of congruency between process challenges and outcome expectations occurs at all levels of the knowledge-creation process (i.e., in the production, dissemination and utilization of results), and differently by different participants, thereby increasing the level of complexity associated with attempts to understand and resolve this problem. This discussion seeks to illuminate this topic by highlighting the different concerns that researchers and policymakers bring to it. This chapter examines the exchange of knowledge between university researchers and policymakers (such as elected officials, advisors and civil servants), drawing on successful examples of research use in the Canadian context, the insights from organizations dedicated to thinking about these issues, and current empirical findings on this subject. In Canada, the nature of the university-policy nexus is of particular concern because it has been suggested that the federal government presently lacks a strong in-house capacity for conducting research (Howlett 2007; Perl and White 2007), while public funding bodies are trying to induce academic researchers to give a higher priority to the utilization of their research. Nevertheless, I do not address the case of think tanks or the advisory bodies (formal and informal regional, national, and or international) established to provide specific information to governments, which are sites where the transfer and utilization of research also occurs. My discussion assumes that: – creating effective policies for citizens is a goal that policymakers and academic researchers often share; – both researchers and policy workers tend to overlook the challenges for ‘the other’ when thinking about using research in policymaking; – both groups need to think critically about the role they play in perpetuating divisions; – specific strategies can be pursued which may encourage more successful collaborations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.667
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.817
GPT teacher head0.680
Teacher spread0.137 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2012
Admission routes1
Has abstractyes

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