Systèmes d’instruments des opérateurs. Un point de vue pour analyser le rapport aux règles de sécurité
Bibliographic record
Abstract
Les opérateurs élaborent et utilisent différents moyens pour gérer les risques professionnels : règles de sécurité, savoir-faire de prudence, pratiques informelles de sécurité. Nous proposons d’analyser cet ensemble de moyens comme un système d’instruments constitué par ces travailleurs au cours de leur expérience professionnelle. Un accident du travail d’un opérateur de maintenance des systèmes électriques est analysé de ce point de vue. Cette approche permet de dépasser le cadre de la violation des règles de sécurité, de prendre en compte l’ensemble des moyens développés par les opérateurs pour gérer les risques, de considérer leurs relations et d’inscrire leur rapport aux règles de sécurité dans une approche de développement.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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.
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".