Scapegoat Carnivale’s Tragic Trilogy
Bibliographic record
Abstract
Between 2010 and 2017, Canada experienced an efflorescence of Greek tragedy, led by independent Montreal theatre company Scapegoat Carnivale’s energetic performances of Euripides’s Medea and Bacchae and Sophocles’s Oedipus Tyrannus . The performances featured crisp new translations by co–artistic director Joseph Shragge, large casts, and full-throated sung choruses. Scapegoat Carnivale’s trilogy of these familiar but rarely performed plays is at the core of this volume, which includes all three novel play scripts, the company’s stage directions, and helpful annotations that elucidate Greek names and cultural references and place the textual choices in the context of the productions themselves as well as the long manuscript traditions germane to each tragedy. The result sheds light on both the ancient Greek texts and contemporary performance practice, as do accompanying essays introducing the reader to Greek tragedy in fifth-century Athens, reception theories, each play’s themes and cultural resonances, and how Scapegoat’s approach to each play fits into broader global trends of performance and reception. Scapegoat Carnivale’s Tragic Trilogy invites readers from all backgrounds to encounter these plays, whether they are looking at Greek tragedy for the first time or the fiftieth. It gives everyone the tools to understand where these plays came from, offers insights into how they can and should be performed now, and shows why they are more relevant than ever in contemporary theatre and in life.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".