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Record W2530154693 · doi:10.1111/spol.12258

Ideas and Institutions in Social Policy Research

2016· article· en· W2530154693 on OpenAlexafffund
Daniel Béland

Bibliographic record

VenueSocial Policy and Administration · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Saskatchewan
FundersCanada Research Chairs
KeywordsScholarshipInstitutionalismField (mathematics)Positive economicsMeaning (existential)New institutionalismSociologySocial sciencePerspective (graphical)Social policyInstitutional analysisPolitical scienceEpistemologyEconomicsLawPolitics

Abstract

fetched live from OpenAlex

Abstract This special issue commemorates the 50th anniversary of Social Policy & Administration. Much has been written over the last two decades about the role of ideas in social policy, especially as they relate to institutions. For instance, a decade ago in this journal, I published a now widely cited article titled ‘Ideas and social policy: An institutionalist perspective’ . The present contribution returns to some of the issues raised in that 2005 article, while assessing the recent ideational scholarship, with the goal of formulating a new research agenda for scholars in the field. Special attention is paid to the need for clear analytical distinctions and rigorous empirical analysis to study the explanatory role of ideas in social policy change, as they may interact with institutions. This article concludes with a discussion about the meaning of institutionalism in ideational analysis and how to concretely explore the interaction between ideas and institutions in the study of social policy stability and change.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0040.060
Scholarly communication0.0190.012
Open science0.0010.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.000

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 head0.195
GPT teacher head0.513
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations122
Published2016
Admission routes2
Has abstractyes

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