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Record W2510859636 · doi:10.7202/1036224ar

La justice administrative dans l’État providence. Quelques leçons de l’histoire de l’assurance-chômage

2016· article· fr· W2510859636 on OpenAlexaffvenueabout
Pierre Issalys

Bibliographic record

VenueRevue multidisciplinaire sur l emploi le syndicalisme et le travail · 2016
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Ce texte rappelle l’arrière-plan historique des changements apportés à compter de 2013 au système des recours dans le régime canadien d’assurance-emploi. Dès leur origine et par leur évolution, les instances décisionnelles en matière de prestations d’assurance-chômage ont constitué une contribution notable au renouvellement des institutions administratives au Canada. Le cheminement historique de cet aspect de la protection sociale illustre le lien étroit entre l’édification de l’état providence et le développement de la justice administrative. Positif à plusieurs égards, le bilan de cette évolution dans la procédure administrative de l’assurance-chômage jusqu’en 2012 appelait néanmoins un double constat d’inaboutissement, quant à l’aménagement des recours, et de renoncement, quant à l’aménagement de la phase initiale du processus décisionnel. La comparaison avec l’évolution des institutions britanniques, devancières et inspiratrices du modèle canadien, confirme cette évaluation en demi-teintes. Par rapport à toute cette expérience historique, les modifications de 2013, sous d’apparentes avancées, font appréhender un recul, notamment sur le plan de la participation citoyenne, de la justice de proximité et de la communication optimale entre agents publics et citoyens.

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)0.005
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 score0.876
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.026
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.095
GPT teacher head0.416
Teacher spread0.321 · 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

Citations0
Published2016
Admission routes3
Has abstractyes

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