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Record W2010228643 · doi:10.7202/1017620ar

L’insuffisance du droit de l’inaptitude à maintenir en emploi les salariés victimes de souffrances au travail

2013· article· fr· W2010228643 on OpenAlexvenueno aff
Sophie Fantoni-Quinton

Bibliographic record

VenueLes Cahiers de droit · 2013
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les pathologies mentales en milieu de travail recouvrent non seulement les troubles mentaux d’origine non professionnelle, mais également les nombreux cas de souffrances du fait du travail (dus à l’organisation et aux relations du travail). Concernant les souffrances dues au travail, le système juridique français a une double action. En amont, il impose à l’employeur d’améliorer dans un processus continu les conditions de travail de chacun des travailleurs pour prévenir une altération ou une détérioration de l’état de santé du salarié. En aval de la survenue d’une altération de la santé mentale des salariés, il existe, dans le droit français de l’(in)aptitude, des outils incitatifs, voire coercitifs, pour imposer à l’employeur l’adaptation du poste de travail d’un salarié en difficulté et son reclassement en cas d’inaptitude au poste antérieur ou de handicap avérés. Cependant, ce droit de l’(in)aptitude qui concerne chaque salarié recèle des limites inhérentes à la question même de la santé mentale au travail.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.003

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 head0.010
GPT teacher head0.280
Teacher spread0.270 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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