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Record W149450695 · doi:10.4000/pistes.1677

Le droit comme outil de maintien en emploi : rôle protecteur, rôle destructeur ?

2010· article· fr· W149450695 on OpenAlexaffvenueabout
Katherine Lippel

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2010
Typearticle
Languagefr
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cet article explore les pratiques juridiques et de gestion appliquées au Québec à l’égard des personnes atteintes d’incapacité de travail en raison d’une lésion professionnelle. Il débute par un examen des facteurs associés au succès du retour au travail rapportés dans la littérature des sciences de réadaptation, notamment les études sur la réinsertion précoce. Ensuite, il examine le droit régissant la réadaptation professionnelle, ainsi que son application par les employeurs et la Commission de la santé et de la sécurité du travail (CSST) à la lumière des principales conclusions de la littérature en ce qui concerne les facteurs qui facilitent le retour au travail et ceux qui y font obstacle. On conclut que le droit lui-même crée peu d’obstacles à la mise en œuvre d’un retour au travail réussi ; par contre, les pratiques de gestion et de traitement des litiges entourant la mise en œuvre de ce droit peuvent compromettre le succès du retour au travail des personnes ayant subi une lésion professionnelle.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.015
Scholarly communication0.0080.005
Open science0.0020.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0120.002

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 head0.028
GPT teacher head0.410
Teacher spread0.381 · 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 designNot applicable
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
Published2010
Admission routes3
Has abstractyes

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