Des outils d’évaluation aux trajets de la rétroaction écrite : la dimension formative de l’évaluation en stage
Bibliographic record
Abstract
Dans la foulée de la deuxième édition du référentiel de compétences au Québec, une démarche d’analyse en trois étapes a permis de faire le bilan d’outils d’évaluation et de leurs usages lors des stages en enseignement. Elle a conduit à dégager quatre profils d’écriture des commentaires dans la grille d’évaluation, appelés « trajets de la rétroaction ». Le but de l’article est de rendre compte des résultats obtenus à l’aide de la démarche et de les mettre en discussion avec les principes promus dans le domaine de l’évaluation des compétences, notamment au regard de la dimension formative et de la rétroaction écrite.
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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 | 0.069 | 0.099 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".