Soutenir des enseignantes débutantes dans une approche de psychologie positive
Bibliographic record
Abstract
Mise en contexteCette chronique reprend quelques résultats d'une étude longitudinale menée de 2019 à 2023 et financée par le Conseil de recherche en sciences humaines du Canada (CRSH).Elle a été réalisée auprès de stagiaires de 4 e année au programme de baccalauréat en éducation préscolaire et enseignement primaire, dans le cadre d'un séminaire d'intégration, dans une université régionale.Elles ont ensuite été suivies lors de leurs deux ou trois premières années d'insertion professionnelle (IP).L' étude visait à mettre en œuvre un dispositif axé sur la psychologie positive 1 (et la présence attentive 2 ), puis à en documenter les retombées à court et moyen termes.D'autres publications 3 peuvent être consultées pour obtenir une vue d' ensemble du projet.
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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 | 0.052 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.014 | 0.018 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".