L’apport de l’autoconfrontation collective interprofessionnelle à la santé au travail : le cas d’une clinique de l’activité en milieu scolaire
Bibliographic record
Abstract
La dégradation de la santé mentale des professionnels en milieu scolaire est inquiétante. Si la poursuite de l’efficacité, l’efficience et l’économie atrophient les espaces de travail de qualité en collectifs, c’est à partir d’une recherche-intervention fondée sur la clinique de l’activité que nous avons tenté de traiter ce problème. Dans cet article nous décrivons les processus mobilisés au cours d’un dispositif d’autoconfrontation collective interprofessionnelle ; un comité dans un établissement scolaire dont la visée transformatrice était l’amélioration de la santé au travail. Les résultats montrent que le dispositif a permis de réduire la perception d’écart hiérarchique et a favorisé la mobilisation du comité santé autour d’un projet permettant le développement du pouvoir d’agir individuel et collectif.
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".