Bibliographic record
Abstract
On Yugoslavia, where I lived in the early 1990s, politics was theatrical and theatre was political. We used to compare the local political life to “theatre of the absurd” and describe the downfall of the country as “tragedy” and “theatre of cruelty.” In return, one of the most valued qualities of the local theatrical tradition and activity has been its capacity for political subversion. However, when the dramatic political circumstances started outdoing all fiction, theatre hit the streets through a series of ongoing protest activities. When the first protest against the ruling regime started, on 9 March 1991 in Belgrade, the police violently attacked the protesters, trying to prevent the leaders of the democratic opposition from addressing the crowd. The artistic director of the National Theatre opened the door of the building, enabling the protest to continue from the theatre’s balcony.1 In the days following this event, mass protests continued in the heart of the city, around an improvised stage, where one of the leading Yugoslavian actors served day and night as kind of MC. He was joined by other artists who came to give their support, keeping the spirits of the protesters high and the constant threat of Milosevic’s police and army at bay.2 When the space of a theatrical institution became a place of political protest, the relationship between theatre and politics in this context had undergone a transition from theatre as a political metaphor, theatre as a by-phenomenon, to theatre as a deliberate device and strategy of street demonstrations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".