Bibliographic record
Abstract
A leader in theatre production for a global community, Robert Lepage - actor, cineaste, and director - revolutionized the Toronto theatre scene from the 1980s onwards by challenging conventional notions of language, identity, and national belonging. Exploring Lepage’s twenty-five-year history on the Toronto stage, Jane Koustas analyzes his importance in the Canadian and international theatre scenes. Outlining the reasons behind Lepage’s success in Toronto, Koustas skilfully engages with a wide range of journalistic and scholarly texts, moving between French and English critical reception of his work. For Lepage, Toronto offered the best of both worlds: he could remain an ardent Quebecer while being welcomed as a fellow Canadian. Lepage, raised in a bilingual family, brought to his Toronto productions an understanding of English and Canadian culture that resisted presenting French against English and the rest of Canada versus Quebec. Instead, he took Toronto audiences on a global theatre voyage that transformed traditional geopolitical, cultural, and linguistic boundaries and questioned identity. Investigating the relationship between Quebec’s master dramaturge and Toronto, a burgeoning cosmopolitan city determined to be a global cultural capital, Robert Lepage on the Toronto Stage analyzes the success of one of the few Québécois artists to have achieved fame in English Canada.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.007 |
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".