La littératie médiatique à l’école : une (r)évolution multimodale
Bibliographic record
Abstract
La multiplication effrénée des outils de production et de diffusion numériques, parmi d’autres ressources sémiotiques, nous oblige aujourd’hui à repenser la notion de littératie. Il ne suffit plus de savoir lire et écrire, il s’agit désormais d’appliquer ces compétences à l’univers numérique, ce qui a donné naissance à un champ multidisciplinaire auquel l’école commence à peine à s’intéresser, soit la littératie médiatique multimodale. D’abord, nous présentons les fondements sémiotiques et épistémologiques de la littératie médiatique multimodale. Suit un développement sur l’évolution du concept et des pratiques de littératie médiatique au Canada et au Québec. Nous terminons par la description des résultats de notre enquête sur les perceptions des jeunes quant à leurs habiletés multimodales et par quelques recommandations touchant l’institution scolaire.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.018 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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".