Le rapport à l’écrit des élèves : focalisation sur la dimension métascripturale
Bibliographic record
Abstract
Cet article présente une partie des résultats obtenus au cours d’une recherche visant, à travers un dispositif appelé Itinéraires (Colognesi, 2015), le développement de la compétence scripturale (Dabène, 1991) dans ses trois composantes des élèves de 10 à 12 ans. Nous approfondissons ici la dimension métascripturale du rapport à l’écrit en suivant de manière fine quatre élèves tout au long du dispositif. Nous montrons ainsi le rôle des médiations métacognitives amenées par l’enseignant lors des tâches de (ré)écriture de textes. L’enjeu est, d’une part, de mettre en évidence comment les médiations métacognitives des enseignants amènent les jeunes scripteurs à développer les habiletés métascripturales et, d’autre part, de quelle manière cette composante agit sur l’évolution globale du rapport à l’écrit.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".