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Record W2914278615 · doi:10.1080/13876988.2019.1574088

Varieties of Social Policy by Other Means: Lessons for Comparative Welfare State Research

2019· article· en· W2914278615 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Comparative Policy Analysis Research and Practice · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsWelfare stateSocial policyState (computer science)Social WelfareWelfarePolitical sciencePublic economicsSociologyEconomicsComputer scienceLawPolitics

Abstract

fetched live from OpenAlex

Scholars can take a broader look at social policy and understand that traditional public welfare state programs are only one of the many potential sources of social protection and regulation. The contributions of this special issue invite social policy scholars to explore policy instruments that provide “social policy by other means” across a wide array of areas, including agriculture, energy, immigration, taxation, and legal regulation of private benefits and services. The article provides a concise overview of some of the key theoretical and empirical implications of social policy by other means for comparative welfare state research. In order to do this, it is divided into two main sections, which respectively discuss the nature and boundaries of social policy and the varieties of social policy by other means. This is followed by a short conclusion, which summarizes the key lessons of this special issue for comparative welfare state research.

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.

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)0.015
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0030.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.363
GPT teacher head0.614
Teacher spread0.251 · 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