Playwriting in Canadian Popular Theatre: Developing Plays with Actors and Ν on-actors
Bibliographic record
Abstract
Playwriting in Canadian Popular Theatre“ is a sweeping title that immediately brings into question the term ”popular theatre“ and its elusive definition. I have to begin by agreeing with Raymond Williams that ”popular“ may be the most ”difficult term in cultural studies“ (Merkin). In this paper I do not seek a definition, but rather, to ”facilitate“ the term by discussing and documenting popular theatre creations that I have participated in as an actor and/or playwright and/or director. My subtitle, ”Developing Plays with Actors and Non-Actors,“ pays homage to the work of Augusto Boal, to his invaluable compendium of popular theatre games, and to the influence of Theatre of the Oppressed techniques in popular theatre playwriting (Boal). It also anticipates the actor/playwright duality that is predominant in popular theatre methodology, and the creation and development of plays.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".