Quel feedback les élèves du primaire en difficulté d’apprentissage reçoivent-ils dans leur bulletin scolaire ? Vers une typologie des commentaires laissés par leurs enseignants
Bibliographic record
Abstract
La visée de cette contribution est de rendre compte d’une recherche qui a pour objectif d’apporter un éclairage sur la manière dont les enseignants novices du primaire formulent les commentaires écrits à destination des élèves en difficulté scolaire. Nous cherchons à voir si des enseignants débutants, qui ont suivi une formation actualisée à l’évaluation formative, utilisent aussi le bulletin dans une démarche formative dans laquelle l’apprenant est valorisé et qui s’inscrit dans une optique de régulation des apprentissages. Les commentaires laissés par les enseignants dans 27 bulletins ont été analysés et une typologie est proposée.
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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 | 0.010 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".