Évaluations ministérielles de l'écriture et de la langue dans la francophonie en fin de scolarité primaire : quelles finalités ?
Bibliographic record
Abstract
De nombreux systèmes scolaires évaluent, par des épreuves ministérielles, la maîtrise de la langue des élèves à des moments charnières de leur scolarisation. Cet article se propose de décrire les épreuves utilisées à la fin du primaire (5 e ou 6 e année) dans six pays ou provinces francophones (France, Belgique, Suisse, Québec, Ontario et Nouveau-Brunswick) pour montrer ce qu’on y mesure réellement. Seront décrits la mise en place de ces épreuves, leurs objectifs, leur format, les sujets proposés, les critères d’évaluation et plus spécifiquement l’évaluation qui y est faite de l’orthographe. Les conclusions mettent en lumière la vision de la langue que véhiculent ces épreuves et la nature des informations sur la compétence à écrire des élèves qu’elles fournissent aux décideurs politiques.
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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 | 0.027 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".