Le soutien aux apprentissages en littératie des enfants est l’affaire de tous et toutes : présentation de deux projets éducatifs novateurs et inclusifs réalisés en collaboration avec les milieux scolaires
Bibliographic record
Abstract
Cet article professionnel décrit le développement et la mise en œuvre de deux projets éducatifs novateurs et inclusifs visant à soutenir le développement de deux habiletés langagières sous-jacentes aux apprentissages en littératie, la connaissance du vocabulaire et la compréhension inférentielle. Ces projets ont été réalisés en collaboration au cœur de deux milieux scolaires au Canada, un en milieu francophone majoritaire et un en milieu francophone minoritaire. Les aspects des deux projets ayant contribué à leur mise en œuvre et à leur pérennité dans leur organisation scolaire respective sont présentés, de même que les différences dénotant des adaptations sensibles à chacun des milieux.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".