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Record W1544947062 · doi:10.4000/pistes.1687

Comment protéger la santé des travailleurs dans un système qui ne repose pas sur les notions d’aptitude et d’inaptitude ?

2010· article· fr· W1544947062 on OpenAlexvenueaboutno aff
Robert Plante, Luc Bhérer, Michel Vézina

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2010
Typearticle
Languagefr
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Au Québec, en santé au travail, l’approche de santé publique a été privilégiée à l’approche médicale individuelle, parce qu’elle est conséquente aux objectifs de la loi, à savoir la prise en charge par le milieu de ses problèmes et la diminution, voire l’élimination des dangers. Quant aux activités médicales individuelles, elles ne sont réalisées que lorsqu’elles sont légitimes, c’est-à-dire lorsque leur pertinence et leur efficacité sur le plan de la prévention ont été démontrées. Quelques évaluations l’ont confirmé, l’approche par programme des services de santé publique québécois fonctionne en général très bien et elle est efficace. Mieux que l’examen médical de chaque sujet, elle permet de centrer les énergies sur les expositions professionnelles et les composantes de l’organisation du travail susceptibles de provoquer des problèmes. Malgré toutes ses qualités, le système de santé au travail québécois se heurte à de sérieuses résistances institutionnelles et politiques qui ont compromis son développement et mènent progressivement à son essoufflement.

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)0.020
metaresearch head score (Gemma)0.032
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: none
Teacher disagreement score0.757
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0180.021
Scholarly communication0.0150.008
Open science0.0030.005
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0150.002

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 head0.038
GPT teacher head0.416
Teacher spread0.379 · 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

Citations2
Published2010
Admission routes2
Has abstractyes

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