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Record W2737907178

How Does Federalism Condition the Employment-Welfare Relationship?: Integrating Social Welfare Policy and Active Labor Market Policy into Youth Employment Policy in Canada

2006· article· en· W2737907178 on OpenAlexaboutno aff
Okyeon Yi

Bibliographic record

VenueSeoul National University Open Repository (Seoul National University) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWelfareSocial policyLabour economicsEconomicsFederalismActive labour market policiesSocial WelfareWelfare systemMarket economyUnemploymentPolitical scienceEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

To account for the formation of employment-welfare relationship, conventional studies often rely on the demand-side or the supply-side perspective. To explain the complete mechanism in the observed nexus, however, I argue that a political institution and its historical path need to be investigated. By examining youth employment policy in Canada, this paper explores how the strategy of integrating social welfare policy with active labor market policy targeting youth ended up with potentials for unilateral action, both at the federal and provincial levels, how the subsequent centralizing force undermined the devolution efforts and the ensuing reform in accordance with neo-liberal framework in labor market policy, how political institutions in a federal state came to affect the phase of employment-welfare relationship, and ultimately why such a center-governed active labor market policy often falls short of realizing its intended objective of transforming the existing nexus between welfare state and production regime.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.267
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

Classification

machine, unvalidated

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

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

Citations0
Published2006
Admission routes1
Has abstractyes

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