Setting the Stage for Revolution: The Efficacy of Czech Theatre, 1975–1989
Bibliographic record
Abstract
To affect audiences, to inspire them to consider something new or to consider something old in a new way, to move them emotionally or, as Lee Breuer says, “from one place to another,” is a common, if not inherent goal of those who make theatre.Frederic Ohringer, A Portrait of the Theatre (Toronto: Merritt, 1979), 58. More deeply, some want the movement they affect to endure, to transform something in people. Belief in the possibility of such movement implies another, having political implications, for if an individual can be moved, then a mass of individuals can be shifted; and if a mass of individuals choose to act on such a shift, or if their acts are inflected by such a shift, then events are altered and history made. Here lies the catechism of someone with the faith of an Augusto Boal that “perhaps the theater is not revolutionary in itself, but it is surely a rehearsal for revolution.”Augusto Boal, Theatre of the Oppressed, trans. Charles A. McBride and Maria-Odelia Leal McBride (New York: Theatre Communications Group, 1985), 122. And yet, in the United States and much of the West, how often are such professions of faith viewed as mere idealism or transformed, even by the converted, into faith’s safe sister, hope—which is to say, a lack of faith?
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.013 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".