L’ autoformation à l’harmonisation travail-vie personnelle : une action concertée des personnes en emploi, des employeurs et des syndicats
Bibliographic record
Abstract
Cet article documente les avantages et les limites d’une démarche d’autoformation à l’harmonisation travail-vie personnelle (HTVP) destinée aux personnes en emploi, aux employeurs et aux syndicats1. Les résultats suggèrent une diminution du conflit et une augmentation de l’enrichissement travail-vie personnelle chez les personnes en emploi, lorsque les employeurs et les représentants syndicaux ont été sensibilisés et outillés en matière d’HTVP. L’autoformation constitue un outil de gestion des ressources humaines pour améliorer la qualité de vie au travail, pour se démarquer et pour développer une culture organisationnelle favorable à l’HTVP. Les limites de l’autoformation sont le manque de temps et de ressources pour s’engager dans une démarche autogérée.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".