Validation de la version française de la Behavior and Instructional Management Scale
Bibliographic record
Abstract
La Behavior and Instructional Management Scale (BIMS) développée par Martin et Sass (2010) permet de mesurer les pratiques et les croyances des enseignants en gestion de la classe. Elle est composée de deux dimensions théoriques : la gestion de l’enseignement et la gestion du comportement des élèves. Martin et Sass (2010) ont validé la version anglaise de cet instrument de mesure. L’objectif de cet article est de présenter la chronologie de son évolution, puis de valider sa version française auprès de 338 enseignants qui se forment à l’enseignement au primaire et au secondaire. Les résultats, qui sont discutés en termes de perspectives de recherche, montrent que la traduction française de la BIMS obtient des indicateurs de qualités psychométriques proches de ceux rapportés par Martin et Sass (2010).
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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 | 0.024 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".