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Record W2141744451 · doi:10.7202/009398ar

À la remorque de l’OCDE? Sécurité du revenu et valorisation du travail au Canada et aux États-Unis

2008· article· fr· W2141744451 on OpenAlexvenueaboutno aff
Gerard W. Boychuk

Bibliographic record

VenueLien social et Politiques · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les pronostics sur une éventuelle « normalisation » des dispositifs de protection sociale à l'échelle de la planète soulèvent quelques doutes. Ainsi, au Canada et aux États-Unis, la conformité des politiques d'aide aux familles à faible revenu eu égard aux objectifs de la politique sociale « active » de l'OCDE se vérifie plus dans le discours que dans la réalité, car de profondes différences subsistent entre les deux pays et en leur sein, aux deux niveaux supérieurs de gouvernement. Les comparaisons internationales et la circulation transfrontalière des idées et des modèles politiques suscitées par des organisations comme l'OCDE sont peu susceptibles de mener à des convergences de fond lorsque les programmes sociaux des divers gouvernements visent des objectifs essentiellement différents, comme c'est le cas ici pour le soutien du revenu.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.063
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.029
Scholarly communication0.0130.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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 designObservational
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

Citations4
Published2008
Admission routes2
Has abstractyes

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