Apports de l'individu et de la collectivité dans le développement de la culture informationnelle. Vers une synergie numérique durable entre les acteurs concernés
Bibliographic record
Abstract
La quatrième dimension du Cadre de référence de la compétence numérique du Québec vise à développer et mobiliser la culture informationnelle. Or, ce document ministériel et son pendant, le Continuum, souffrent d’un manque de détails dans la définition de cette culture en plus de la concentrer entre les mains de l’individu. Ce chapitre analyse donc les diverses zones d’ombres informationnelles dans ladite compétence numérique, souligne l’absence de la collectivité dans l’édification de la culture informationnelle, pour enfin proposer une typologie des approches de son développement selon les personnes concernées, la régulation mise en oeuvre et les méthodes pour la faire progresser.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".