La résilience et le bien-être psychologique au service de l’engagement au travail chez les enseignants
Bibliographic record
Abstract
Malgré un taux d’abandon de la profession élevé, plusieurs enseignants demeurent fidèles au poste, soulevant des questions sur les leviers de leur engagement au travail. Parmi les antécédents documentés de l’engagement au travail, la résilience et le bien-être psychologique au travail (BEPT) se démarquent. Ainsi, cette étude visait à explorer le rôle médiateur du BEPT dans la relation entre la résilience et l’engagement au travail. S’appuyant sur la théorie broaden-and-build, une étude transversale a été réalisée auprès de 204 enseignants québécois du primaire et du secondaire. Les résultats soutiennent que la relation entre la résilience et l’engagement au travail est entièrement médiée par le BEPT, permettant de cibler des interventions favorisant l’émergence et le maintien de l’engagement chez les enseignants.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".