Bringing Canada to Central Europe's stages : an interview with Michael Devine
Bibliographic record
Abstract
Bringing Canada to Central Europe's Stages An interview with Michael DevineSkim through the repertoire of any theatre in the Western world and you'll see that theatre is the most international of the literary arts.Whether in London or Ljubljana, whether in Berlin or Budapest, the same names appear again and again on the playbill: aside from the ubiquitous Shakespeare, there's Molière from France, Goethe from Germany, Sophocles from Greece, Ibsen from Norway and Russia's Chekhov (or Csehov or Čehov or…).We may not spell these authors the same way, but we certainly play them.And yet, theatre remains a very local art, utterly dependent on the here-and-now, a specific place and performance space, and a common language.This interview with professor, playwright and director Michael Devine examines the benefits and challenges of bringing "Canadian" theatre to Central Europe. > You've been working in Central Europe each summer for around ten years. What keeps you coming back here?1) The Order of Canada winning playwright of Les Feluettes and Les Muses orphelines 2) The Governor-General's Award winning playwright of The Ends of the Earth and Girl in the Goldfish Bowl.vol.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.100 | 0.019 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.012 | 0.023 |
| Insufficient payload (model declined to judge) | 0.007 | 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".