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Record W2167686301 · doi:10.1177/1468018107078161

Devolution and Neoliberalism in the Canadian Welfare State

2007· article· en· W2167686301 on OpenAlexaffabout
Stephen McBride, Kathleen McNutt

Bibliographic record

VenueGlobal Social Policy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of ReginaSimon Fraser University
Fundersnot available
KeywordsDevolution (biology)Welfare stateSocial policyConvergence (economics)Neoliberalism (international relations)State (computer science)WelfarePolitical sciencePublic policyPsychological resiliencePublic administrationSocial WelfarePolitical economyEconomicsSociologyEconomic growthLaw

Abstract

fetched live from OpenAlex

The Canadian welfare state has changed significantly in the last decade with the federal devolution of policy responsibilities creating opportunities for some provinces to adopt American social policy ideas. Given the expectations of resilience and non-convergence, in the welfare state literature, this article addresses the issues of policy change by demonstrating that the movement of British Columbia's labour and social policy towards international neoliberal norms, including policy examples set in many US jurisdictions, have produced limited convergence. We suggest that this indicates that more change has occurred and is occurring in the Canadian welfare state than the resilience model or comparative public policy literature would indicate.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.195
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0210.021
Scholarly communication0.0080.002
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.355
Teacher spread0.334 · 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 designQualitative
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

Citations54
Published2007
Admission routes2
Has abstractyes

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