Étude qualitative sur les facteurs qui contribuent à la décision d’un groupe de travailleurs seniors de se maintenir en emploi dans le secteur de l’éducation au Québec
Bibliographic record
Abstract
Le secteur de l’éducation au Québec est caractérisé par la présence de travailleurs seniors âgés de 45 ans et plus et par le départ massif de baby-boomers. Cette étude de cas de nature qualitative a permis de constater que la culture organisationnelle non discriminante à l’égard de l’âge, le contenu du travail [p. ex., autonomie dans l’exécution des tâches, flexibilité des horaires], le soutien social et l’état de santé psychologique des travailleurs favorisent le maintien en emploi de 28 travailleurs seniors oeuvrant dans une commission scolaire québécoise. Le contexte de vie hors travail [p. ex., situation financière, état de santé du travailleur, pension du conjoint, charge familiale] contribue aussi au choix des participants de se maintenir en emploi jusqu’à la pleine pension.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".