Theatre of the Inescapable and Single Thread Theater Company’s “Everyman”
Bibliographic record
Abstract
The presentation will present the hypothetical and practical application of "Theatre of the Inescapable", a new and experimental theory of theatre developed by Alex Dault. The theory is concerned with the use of theatre as a tool for social change and the vitality of the live theatrical experience. The presentation will examine the manifesto of the Theatre of the Inescapable; this includes the purpose of the theory and its basis in the writing of Antonin Artaud and Friedrich Nietzsche. The Theatre of the Inescapable relies upon the isolation and terror of the individual audience member in order to create the sensation of being within a vivid waking dream devoid of "attentive escapes". The audience member must accept the conditions of the theatrical world as real in order to function within it. The presentation will explore many of the questions and answers arising from documented experimentation with actors. Finally, the presentation will look at the recent production "Everyman" and its forty performances for one audience member. Special focus will be given to the perspective of the actors involved and their observations on performing for one audience member. The presentation will include photographs and video footage from this production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 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".