Exploiter des albums plurilingues au préscolaire : qu’en pensent les enseignantes ?
Bibliographic record
Abstract
L’article expose les perceptions de dix enseignantes au sujet de l’exploitation d’une application, les Albums plurilingues ÉLODiL , dans des classes ordinaires de maternelle (élèves de 5 ans) situées en milieux pluriethniques et plurilingues. Cette application regroupe onze albums en français, édités par deux maisons d’édition québécoises. Elle a été développée dans le cadre d’une recherche-action ayant pour objectif de soutenir le développement langagier oral et écrit de jeunes enfants grâce à la littérature jeunesse plurilingue, dans une perspective de collaboration école-famille. L’analyse des données recueillies auprès des enseignantes au moyen d’un questionnaire permet de dire qu’elles considèrent que l’exploitation de cette application favorise l’émergence d’un climat de classe ouvert à la diversité linguistique, soutient les apprentissages et l’engagement des enfants ainsi qu’une étroite collaboration famille-école.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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; both teacher heads agree on what is shown here.
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".