L’École de l’Arena Goldoni, ou la difficile invention d’un laboratoire
Bibliographic record
Abstract
De 1903 à 1914, Edward Gordon Craig multiplie les plans et les projets d’écoles : école des artisans du théâtre, école du metteur en scène, école expérimentale, école totalisatrice. Tous ces modèles tendent vers la forme du laboratoire, que l’on retrouve chez tous les grands réformateurs du théâtre au long du XXe siècle (Stanislavski, Meyerhold, Copeau, Grotowski, etc.). Ce que cherche Craig, c’est un espace de recherche fondamentale où il pourrait, entouré de collaborateurs plus que d’élèves, explorer les principes du théâtre. Au bout de ces esquisses, il y a l’ouverture éphémère de son école à l’Arena Goldoni de Florence, et surtout l’utopie d’un lieu total unifiant l’ensemble de ses intuitions depuis qu’il est parti en quête de l’artiste du Théâtre de l’avenir. Après avoir exposé l’historique de ces projets et leur réalisation partielle en 1913-1914, l’article examine quelques-unes des contradictions inhérentes à la démarche de Craig.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".