Les enseignants canadiens à risque de décrochage : portrait général et comparaison entre les régions
Bibliographic record
Abstract
Le présent article tente de cerner les caractéristiques des enseignants canadiens ayant l’intention d’abandonner leur profession, en mettant l’accent sur les aspects du rapport au métier. Les résultats de l’analyse réalisée à partir d’un échantillon de 4210 répondants montrent que ces enseignants se distinguent davantage par le sentiment d’avoir des relations difficiles avec les élèves, mais également par un pessimisme au regard des changements de politiques éducatives et par un rapport au métier négatif caractérisé par l’insatisfaction vis-à-vis de la charge, des conditions de travail, des relations avec les collègues et de l’autonomie professionnelle. La situation varie toutefois entre les cinq régions du Canada.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".