Améliorer l’insertion professionnelle d’enseignantes novices par le développement d’une identité professionnelle positive prenant appui sur la psycho-pédagogie du bien-être
Bibliographic record
Abstract
Cet article présente les résultats préliminaires d’une recherchequi vise à documenter le parcours d’enseignantes novices du préscolaire et du primaire, pour comprendre l’évolution de leur développement identitaire et établir leur profil qui tient en compte du bien-être afin de favoriser leur persévérance et une meilleure insertion professionnelle. En s’appuyant sur les principes d’un nouveau champ en sciences de l’éducation, la psychopédagogie du bien-être, l’étude des éléments du bien-être et des forces de caractère chez les novices permettront d’explorer en quoi une approche axée sur le développement de leur plein potentiel lors de rencontres d’accompagnement, peut les aider au développement d’une identité professionnelle positive, afin de faire face aux multiples défis de la profession.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".