Efficacité des pratiques de maintien en emploi des cadres de 50 ans et plus
Bibliographic record
Abstract
Dans le contexte actuel de pénuries de compétences, la fonction ressources humaines — après avoir encouragé les départs anticipés — se voit confrontée au défi de maintenir en emploi les employés vieillissants. Après avoir passé en revue les principales pratiques de gestion associées à la rétention des employés de 50 ans et plus, les auteurs mesurent leur effet sur l’extension de la vie professionnelle de 402 cadres des services sociaux et de santé de Montréal. Les résultats, une fois validés à partir de ceux de deux autres sources de données (tirés de la même enquête), permettent d’élaborer une stratégie de maintien en emploi axée sur les quatre dimensions suivantes : 1) élaboration d’un projet de fin de carrière, 2) aménagement du temps de travail, 3) amélioration de la qualité de vie au travail, 4) stimulants financiers.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".