Robert Lepage/Ex Machina : revolutions in theatrical space
Bibliographic record
Abstract
Robert Lepage/Ex Machina: Revolutions in Theatrical Space provides an ideal introduction to one of our most innovative companies – and a much-needed and timely reappraisal of Lepage's oeuvre. International, interdisciplinary and intercultural to the core, Ex Machina have negotiated some of the most complex creative and cultural challenges of our time. Through a comprehensive historiography of productions since 1994, Robert Lepage/Ex Machina offers a detailed picture of the relationship between director and company, while connecting Ex Machina to culturally specific features of Québec and its theatre. This book reveals for the first time how overlooked aspects of creativity and culture shaped the companies early work, while installing a dynamic interplay between director and company that would spark a unique and ongoing evolution of praxis. Central to this re-evaluation of practice is the book's identification of an architectural aesthetic at the heart of Ex Machina's work, an aesthetic which provides its artistic and political centres of gravity. Drawing on extensive interviews with Lepage, Ex Machina personnel and collaborative partners, James Reynolds calls upon us to revise both our creative and critical perceptions of this vital and distinctive practice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".