Décisions politiques, charisme d’institution et scènes artistiques : quelles actions réciproques ?
Bibliographic record
Abstract
La valeur explicative de l’idée de scènes s’avère féconde si l’on considère que l’existence de scènes artistiques et la concurrence qu’elles se livrent à l’échelle internationale a influencé des décisions politiques de premier plan. L’atteste la décision de nommer Jean Vilar au Théâtre National Populaire en 1951, dans un contexte où la scène européenne du théâtre se structure autour de lieux phares comme le Piccolo Teatro que fonde Giorgio Strehler à Milan en 1948 ou le Berliner Ensemble dont Bertolt Brecht prend la direction en 1949. En témoigne également la décision de créer un Centre d’art et de culture sur le plateau Beaubourg par le président Pompidou au moment où Paris perdait son statut de capitale internationale des arts au profit d’une effervescence créatrice outre-Atlantique (New York) et outre-Rhin (Kassel, Darmstadt, Cologne, Düsseldorf), lesquelles se livraient, dans les années 1970, une concurrence sans merci en matière d’art et de culture.
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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.054 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".