Pour faire face aux défis informationnels, numériques et médiatiques du 21e siècle
Bibliographic record
Abstract
Les fausses nouvelles sont au cœur des préoccupations sociétales. Au Québec, le Cadre de référence de la compétence numérique (Gouvernement du Québec, 2019) soutient une approche rénovée des compétences informationnelles et numériques. Ce document est notamment inspiré de la métalittératie (Mackey et Jacobson, 2011) qui a aussi influencé le plus récent référentiel de l’Association of College and Research Librairies (ACRL). Bien que la portée du concept soit limitée en français, il mérite d’être considéré. Cette note conceptuelle présente la métalittératie dans une brève chronologie et la situe dans les enjeux relatifs à la nécessité de faire évoluer les littératies. Nous concluons la réflexion en décrivant des initiatives pédagogiques.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".