Prévenir et gérer les problèmes de comportement en classe: préparation perçue de futurs enseignants suisses et québécois
Bibliographic record
Abstract
Dans le contexte de l’intégration scolaire, la gestion de la classe et des comportements des élèves représente un défi de taille. Notre étude décrit les perceptions qu’ont de futurs enseignants suisses et québécois de leur capacité à appliquer des stratégies efficaces de prévention et de gestion des comportements difficiles en classe. Les résultats mettent en évidence des différences liées à la nationalité des participants, et confirment partiellement les résultats de recherches antérieures montrant que les enseignants estiment manquer de cours portant sur la gestion de classe lors de leur formation, et se sentent peu compétents dans ce domaine. Enfin, les enseignants attribuent leurs compétences actuelles plutôt à leurs expériences pratiques qu’à leur formation théorique.
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".