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Record W4403055656 · doi:10.1111/ijsw.12701

Ideas and the changing relationship between states and markets in social policy: A review essay

2024· review· en· W4403055656 on OpenAlexaff
Daniel Béland, Ronen Mandelkern

Bibliographic record

VenueInternational Journal of Social Welfare · 2024
Typereview
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSocial policyPublic economicsEconomicsPositive economicsSociologyPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

Abstract This review essay takes stock of the recent literature about the role of ideas in social policy, with a particular focus on a key issue in social policy research: the changing interactions between states and markets over time. Specifically, our aim is to examine how the ideational literature discusses and explains prominent contemporary social policy evolutions: the rise of social investment and the financialization and technocratization of the welfare state. This is done based on the scholarship on state/market interactions and the role of ideas in social policy, and by utilizing key insights of scholars of ideational influences on state/market interactions. The article ends with a short agenda for future research on ideas and discourses as a crucial factor in the evolution of the welfare state as a key space in which states and markets interact.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0010.004
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.444
Teacher spread0.379 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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