Renegotiating Space in Canadian Theatre: A Review of Three New Play Anthologies
Bibliographic record
Abstract
The notion of space is one with which the theatre is always engaged, whether it be the concrete space of the stage and performance venue, the more abstract space of time and history, the imaginary space of a community or character’s mind, or even the space around which social and theatrical boundaries are established and broken. Ultimately, space finds itself part of the discussion and analysis of the conditions in which Canadian theatre artists work and significantly informs the theatre produced. The theme of space is useful in this review of three new anthologies, Yvette Nolan’s revised edition of Beyond the Pale, Moira Day’s The West of All Possible Worlds and Andy McKim’s compilation of shorts from Tarragon Theatre, Snappy Shorts at Tarragon Theatre, each of which focuses on different Canadian theatrical spaces: work by First Nations writers and writers of colour (work that inhabits the space beyond established boundaries), Western Canadian theatre and Andy Mckim’s office at the Tarragon Theatre, respectively. In addition to highlighting the work of playwrights across the country, each anthology also draws attention to the reality of working conditions for Canadian theatre artists, whether through the plays’ subject material, the use of alternative venues for performance or the development of new formats in which plays are created and performed.
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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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.030 | 0.049 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".