PLACE DU NUMÉRIQUE ET DES MÉDIAS SOCIAUX DANS L’EXPÉRIENCE DU VISITEUR SCOLAIRE AU MUSÉE D’ART ?
Bibliographic record
Abstract
Comment les élèves sont-ils familiarisés avec la lecture de tableaux au musée d’art et en classe de littérature ? Comment peuvent-ils apprivoiser le musée d’art et se former comme visiteur ? Comment s’engagent-ils dans leurs activités de réception ? La réflexion proposée se situe en didactique du français. Elle analyse la façon dont les manuels scolaires du secondaire, les dossiers pédagogiques proposés par les musées ou encore certains projets de visites menés en France convoquent, ou au contraire écartent, les outils numériques comme l’usage des médias sociaux. Il s’agit d’identifier la place et le rôle de ceux-ci dans les activités et dispositifs proposés : leur contribution à la construction d’une expérience singulière et d’une culture muséale à partager.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".