“If Only They’d Stop Waiting”: Staging Western Canadian Drama In Central Europe
Bibliographic record
Abstract
The best of contemporary theatre in Western Canada presents stories of the historical, cultural, and ethnic diversity of the region while taking a critical stand against the traditional stereotypes of “prairie realism and cowboy iconography” which contributed to the creation of its social, as well as artistic awareness. Western Canadian playwrights reflect in their works the wide multicultural spectrum of their region, without writing mere “ethnic theatre” with limited readability and appeal. This is documented by several instances of producing Western Canadian drama “out of its context” – specifically in Central Europe. In the Czech Republic, it was the productions of Brad Fraser’s Kill Me Now by theatres in Ostrava and Mladá Boleslav in 2017 and 2019, respectively, and the production of Vern Thiessen’s play Lenin’s Embalmers by a Liberec theatre which premiered in December 2017. The article discusses the productions of Western Canadian plays by Czech theatres, with special focus on the dramaturgical decisions and theatrical presentations concerned, as well as on the critical and audience response the productions have received, with the aim to demonstrate that Western Canadian drama presents not only a valuable source for cultural and theatrological study, but also inspiring material for meaningful stage productions in Czech – and potentially European – theatres.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.025 | 0.007 |
| Scholarly communication | 0.010 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".