Est-il nécessaire d’enseigner l’écriture script en première année ? Les effets du style d’écriture sur le lien lecture/écriture
Bibliographic record
Abstract
Cette étude permet de questionner la tradition du double enseignement des styles d’écriture au Québec, en testant la validité d’un argument couramment avancé, qui suggère que la discordance entre l’écriture cursive et les caractères d’imprimerie nuirait au transfert entre la lecture et l’écriture. Les résultats obtenus auprès d’enfants de 2 e année du primaire, ayant appris à écrire en script ou en cursive, ne nous permettent pas d’aller dans le sens de cet argument. En effet, les corrélations entre les performances en lecture et en écriture sont significatives et élevées pour les deux groupes d’enfants, et leurs performances sont similaires. Les apprenants semblent capables d’associer des caractères différents en lecture et en écriture, l’apprentissage de l’écriture cursive en 1 re année ne nuirait pas à la lecture.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".