Promouvoir la santé mentale au travail : donner un sens au travail
Bibliographic record
Abstract
Résumé Le travail peut stimuler le bien-être psychologique des personnes. Les recherches que nous avons menées auprès de cadres et d’employés ont permis de déterminer plusieurs facteurs qui contribuent à préserver la santé mentale : l’utilité sociale du travail, la rectitude morale du travail, l’exercice de l’autonomie, les occasions d’apprentissage et de développement ainsi que la qualité des relations professionnelles. Observation étonnante, les facteurs qui expliquent le mieux les scores de bien-être psychologique ne sont pas les mêmes que ceux qui expliquent les scores de détresse psychologique. Serait-il possible que la promotion du bien-être psychologique au travail requière des interventions différentes de celles visant la prévention des troubles de santé mentale? D’autres recherches sont nécessaires avant de conclure. Cependant, si cette observation s’avérait exacte, cela aurait des implications importantes pour la recherche future et son application à la gestion du travail.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| 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".