Les Albums plurilingues ÉLODiL pour soutenir l’enseignement à distance
Bibliographic record
Abstract
Cet article présente une application, les Albums plurilingues ELODiL, qui regroupe 11 albums de littérature jeunesse québécois en français (édités par deux maisons d’éditions québécoises : Les 400 Coups et La Courte échelle) et traduits à l’écrit et à l’oral, dans plusieurs langues. Durant le temps de l’enseignement à distance rendu nécessaire par les mesures de confinement dû à la pandémie de Covid-19, cette application a été accessible gratuitement à l’intention des enseignant·es et des familles à travers le Canada pour un peu plus de deux mois (du 21 avril au 30 juin 2020). Nous exposons, dans cet article, les fondements et modalités de conception de l’application ainsi que des données sur sa fréquentation ainsi que sur son utilisation et son appréciation par les enseignant·es durant ces premiers mois de sa mise en ligne.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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; 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".