Bibliographic record
Abstract
One of Canada’s most famous opera productions recently returned to the stage of the Hummingbird Centre in Toronto after an eight-year odyssey of touring that has brought the Canadian Opera Company acclaim from critics around the world. First mounted in Toronto in 1993, Robert Lepage’s staging of Bluebeard’s Castle and Erwartung has travelled to New York, Edinburgh (where it won the prestigious £50 000 Scotsman Hamada prize for drama and music), Melbourne, Geneva, Hong Kong, Vancouver, and Cincinnati. As is by now well-known, Lepage bases his theatrical creation on the use of “resources,” ranging from pieces of text to familiar objects to artistic images in other media. What is striking in his stage direction of these two short operas, restaged for this production by François Racine, is the way Lepage treats the music itself as a resource. In this staging it would seem that the musical patterns of the score guide the creation of a series of visual images much more than do the verbal signs of the libretto. The result is a complex presentation of visual and aural images that strikes the audience as fantastically original without ultimately challenging the rather traditional messages of these psychoanalytically inspired operas.
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 | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".