Analyse proxémique d’une leçon de mathématiques : une étude exploratoire
Bibliographic record
Abstract
Comment peut-on comprendre et caractériser la communication non verbale, en classe, dans ses effets didactiques ? L’article qui suit s’efforce de développer, dans une perspective exploratoire, une approche spécifique de cette question. À partir d’une étude de cas, l’action du professeur est décrite dans un cadre théorique produit en référence à des notions empruntées à la didactique des mathématiques, et qui intègre des perspectives proxémiques. Pour rendre compte de la manière dont un professeur peut utiliser des ressources proxémiques dans la communication didactique, nous élaborons la notion de consonance/dissonance proxémique, et nous montrons comment une telle notion s’insère dans la théorie du contrat didactique, tout en la prolongeant.
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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 | 0.001 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".