Interactions élèves-information et construction d’une culture informationnelle
Bibliographic record
Abstract
En appui sur les travaux de l’ERTé Culture informationnelle et curriculum documentaire (Lille 3, Béguin dir.), cette communication étudie le rôle des interactions élèves-information dans la construction d’une culture informationnelle. Les dynamiques dégagées montrent que la culture informationnelle, véritable expérience sociale, se développe dans l’interaction avec l’information, en faisant le lien entre ses dimensions humaine, physique, technique. Based on the works of ERTé Culture informationnelle et curriculum documentaire (Lille 3, Béguin dir.), this presentation examines the role of student-information interaction in information culture building. The results show that information culture, as a meaningful social experience, evolves through information interaction by linking its human, physical, and technical dimensions.
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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 | 0.010 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".