Les conditions d’insertion professionnelle des enseignants de l’Abitibi-Témiscamingue et du Nord-du-Québec et les mesures de soutien dont ils bénéficient en début de carrière
Bibliographic record
Abstract
-Tmiscamingue et du Nord-du-Qubec et les mesures de soutien dont ils bnficient en dbut de carrire Formation et profession 31(2) 2023 1 sum Cet article vise comprendre les conditions d'insertion professionnelle des enseignants dbutants en Abitibi-Tmiscamingue et au Nord-du-Qubec et les mesures de soutien dont ils bnficient en dbut de carrire. Les rsultats d'une recherche mixte combinant une enqute par questionnaire et des entrevues semi-structures menes auprs de 14 enseignants et cinq exenseignants montrent que les novices s'insrent dans des conditions difficiles souvent sans soutien ni accompagnement structur. Beaucoup remettent en question leur choix de carrire et pensent souvent quitter la profession. Il en ressort qu'une meilleure insertion des novices ncessite la mise en place de dispositifs de soutien l'insertion fonds sur leurs besoins.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".