Bibliographic record
Abstract
Perhaps the most basic tension in any theatrical performance is that of the actual and the fictive. There is always a doubling of performer (actor-character), time (now-then), and place (here-there) in theatrical representation. Performance theorists such as Fischer-Lichte, Boal, George, Schechner, and Turner all argue that between the poles of actual and fictive, between that which is materially present and that which is absent and referenced, lies the liminal state. The liminal state is a self-referential state that collapses binaries of here-and-there, now-and-then, and subject-and-object. This thesis examines how the idea of the document in documentary theatre complicates the basic representational tension of actual-fictive, adding other tensions that enable the liminal state (which I call the event-state) to occur. Drawing on the work of Fischer-Lichte and others, new theoretical concepts particular to the genre of documentary theatre are introduced, such as actual-documentive, embodied document, and emergency-time. Using examples from Nanay: A Testimonial Play (which I directed in Vancouver, Canada, and Berlin, Germany) I propose a theory of documentary theatre.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 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".