Quand l’école promeut des albums plurilingues de littérature jeunesse pour soutenir des pratiques inclusives de collaboration avec les familles en milieu pluriethnique et plurilingue
Bibliographic record
Abstract
Cet article présente les résultats d’une vaste recherche dans laquelle les Albums plurilingues ÉLODiL (Armand et al., 2018), une plateforme numérique regroupant des albums plurilingues de littérature jeunesse québécois, ont été utilisés dans une perspective de collaboration école-famille au préscolaire en milieu pluriethnique et plurilingue. Des entretiens semi-dirigés faits auprès de 16 parents ayant participé au projet illustrent comment la diversité linguistique promue par les albums permet la reconnaissance du bagage linguistique des familles par l’école et contribue à offrir aux parents des façons de collaborer avec l’école qui prennent en compte leurs réalités et leurs cadres de vie.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".