Bibliographic record
Abstract
Cette étude aborde un enjeu crucial : comment les enfants de 8 à 12 ans, immergés dans l’univers numérique des As de l’info, développent-ils des pratiques informationnelles et communicationnelles pour lutter contre la désinformation ? En adoptant une approche méthodologique mixte, alliant données quantitatives et qualitatives, l’étude met en évidence un lien fort entre les jeunes usagers et la plateforme. Leur motivation repose sur un intérêt personnel pour le contenu informationnel, ce qui les incite à s’engager activement. Les as de l’info se révèle ainsi un levier éducatif, favorisant l’acquisition de nouvelles connaissances et la compréhension de thématiques parfois ignorées. Les usagers partagent le contenu, s’ouvrent aux autres et stimulent la discussion. L’étude souligne également leur engagement à satisfaire leurs besoins cognitifs et affectifs, tout en devenant des acteurs de la lutte contre la désinformation. Ces résultats ouvrent des perspectives de recherche sur l’impact des pratiques informationnelles sur les attitudes et comportements des jeunes publics.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.001 | 0.007 |
| 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; both teacher heads agree on what is shown here.
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".