From museum non-public to free entry publics.
Bibliographic record
Abstract
La notion de non-public conserve-t-elle encore de la pertinence dans le contexte des musées français des années 2000 ? La réponse se construit en trois temps. D’abord, on considère l’évolution du volume de la fréquentation, la configuration des pratiques de visite et les carrières des visiteurs. Ensuite, on discute les conséquences d’une gratuité permanente, régulière ou occasionnelle d’accès aux collections, en particulier celles relatives à l’expérimentation menée dans quatorze établissements au premier semestre 2008. Enfin, on montre que non seulement la gratuité suscite la mobilisation de publics dont le lien avec la culture et ses institutions est intermittent, mais qu’elle possède un effet de levier dans la fabrication de la familiarité muséale. Le tout réduit à quia les défenseurs de la thèse d’une inertie des attitudes et comportements à l’égard des musées.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.021 |
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".