La formation des enseignants pour l’interdisciplinarité : une synthèse de recherches effectuées au Brésil
Bibliographic record
Abstract
Conçu à la lumière d'une rétrospective historique et critique des enjeux de la formation interdisciplinaire des enseignants, ce texte témoigne d'une « relecture » de deux recherches effectuées au Brésil au cours des dix dernières années. La première, qui s'intéresse à la pratique quotidienne de cinq professeures de didactique au sein d'écoles de formation des enseignants, examine leur propre façon d'être et d'enseigner. La seconde permet d'explorer les difficultés rencontrées lorsqu'on tente d'intégrer les préoccupations interdisciplinaires dans le système d'enseignement public à partir de la formation des enseignants. Dans cet article, l'interdisciplinarité est étroitement associée à une attitude à l'égard de la recherche et de l'adoption de pratiques d'enseignement alternatives.
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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 | 0.021 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".