Scènes de Téhéran : regards sur le 36e Festival Fadjr de théâtre
Bibliographic record
Abstract
Le Festival Fadjr de théâtre est tenu annuellement en Iran depuis 1983. Les oeuvres d’artistes locaux et internationaux y sont présentées. Le 36e festival s’est déroulé en janvier 2018, avant que les sanctions américaines n’impactent lourdement l’économie du pays. Plus de 200 spectacles et 500 représentations ont été proposés au public dans des lieux très divers, allant du grand Théâtre de la Ville de Téhéran jusqu’à des maisons particulières ou des garages. Parmi les participants, on retrouvait Jérôme Bel, Rimini Protokoll, Christopher Rüping, Philippe Quesne et un grand nombre de metteurs en scène venus de tout le pays. L’événement a réuni un public enthousiaste ainsi qu’une grande diversité de démarches artistiques. Allant du théâtre visuel aux spectacles in situ, le festival a connu un grand succès et a prouvé à quel point le théâtre occupe aujourd’hui une place importante en Iran.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| 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".