« L'école en souffrance » : recherche-action sur les situations de travail à risque pour la santé mentale en milieu scolaire
Bibliographic record
Abstract
Cette recherche-action conduite dans deux écoles de niveau secondaire au Québec (lycées) s’est appuyée sur une enquête de psychodynamique du travail réalisée avec des enseignants, des professionnels de l’éducation, des membres du personnel de soutien et de direction. L’objectif était d’analyser la souffrance et les stratégies défensives individuelles et collectives puis d’identifier des situations à risque pour la santé mentale au travail. Un deuxième volet visait l’accompagnement du milieu scolaire dans une prise de conscience des effets délétères de l’organisation du travail et la nécessité d’agir en prévention primaire (à la source), pour la santé et la sécurité du travail.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".