L’effet modérateur des stratégies de récupération au repos sur la relation entre les demandes au travail et le bien-être des employés
Bibliographic record
Abstract
L’objectif de cette étude transversale est de comprendre quelles sont les stratégies de récupération permettant d’amoindrir les conséquences négatives des demandes au travail sur le bien-être psychologique des employés en temps de repos. Les résultats de cette étude (n = 114) révèlent que les stratégies de détachement, de relaxation et de contrôle permettent de modérer la relation négative existante entre le conflit de rôle et les affects positifs au repos. Plus encore, les stratégies de détachement et de relaxation permettent également de modérer la relation positive existante entre l’ambiguïté de rôle et les affects négatifs au repos. Les implications pratiques et théoriques de ces résultats pointent vers l’importance de la récupération en temps de repos, pour une meilleure qualité de vie au 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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.006 | 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".