Obligation de reclassement et obligation de sécurité : quelle articulation en matière de santé au travail ?
Bibliographic record
Abstract
Dans un contexte marqué par le souci croissant de protéger la santé des travailleurs ainsi que leur emploi, on observe que deux obligations patronales - de sécurité et de reclassement - jouent, en Droit Français, un rôle majeur dans la construction d’un droit à la sécurité au travail comme dans celle d’un droit de l’emploi. Certes, il est vrai qu’opérer un rapprochement entre ces deux obligations semble hasardeux, tant leur domaine et leur logique paraissent différents. Pour autant, un tel rapprochement est, non seulement possible, mais vraisemblablement fructueux : possible en premier lieu, car ces deux obligations ont en commun le fait d’entraîner une restriction du pouvoir patronal de direction ; enrichissant également parce que tout porte à croire que l’obligation de reclassement peut - voire doit - s’analyser comme le prolongement de l’obligation de sécurité.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".