formation des enseignants associés au Québec : soutien à leur développement professionnel
Bibliographic record
Abstract
Au Québec, la formation initiale en enseignement se déroule alternativement en milieu universitaire et en milieu scolaire. L’enseignant associé a un rôle crucial et complexe à jouer auprès du stagiaire (Gervais & Correa Molina, 2005). Il est encouragé à suivre une formation qui vise à le guider dans l’exercice de ce rôle (Portelance et al., 2008). Quelle est son appréciation de la formation reçue ? Des entretiens individuels ont été réalisés auprès de dix enseignants associés formés. L’analyse des données dévoile les effets perçus de la formation sur le développement professionnel d’enseignant associé et d’enseignant et sur la construction de l’identité individuelle et collective d’enseignant associé
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 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 | 0.004 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.007 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".