Les effets délétères sur la santé mentale des mesures de restrictions en période de crise sanitaire
Bibliographic record
Abstract
Les mesures de santé publique mises en place en période de crise sanitaire, bien que nécessaires pour préserver la santé des plus vulnérables, ont des impacts sur les habitudes de vie et de travail d’un grand nombre d’individus. On pense aux impacts sur le bien-être physique, mental et social des individus, lesquels peuvent influer sur la productivité au travail et la situation d’emploi. Une étude CIRANO (Cissé et al. 2024) montre que les effets délétères des mesures de restrictions ont été importants durant la pandémie de COVID-19 au Québec et ont perduré à moyen terme. La qualité de la vie reliée à la santé (QVRS) s’est particulièrement détériorée pour ceux et celles qui étaient en emploi et les difficultés de conciliation de leurs vies familiale et professionnelle se sont aggravées, d’où l’importance de la prise en compte de la santé mentale dans les milieux professionnels.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".