Bibliographic record
Abstract
What motivates a Japanese translator and theatre company to translate and perform a play about racial discrimination in the American South? What happens to a 'gay' play when it is staged in a country where the performance of gender is a theatrical tradition? What are the politics of First Nations or Aboriginal theatre in Japanese translation and 'colour blind' casting? Is a Canadian nô drama that tells a story of the Japanese diaspora a performance in cultural appropriation or dramatic innovation? In looking for answers to these questions, Theatre Translation Theory and Performance in Contemporary Japan extends discussions of theatre translation through a selective investigation of six Western plays, translated and staged in Japan since the 1960s, with marginalized tongues and bodies at their core. The study begins with an examination of James Baldwin's Blues for Mister Charlie, followed by explorations of Michel Marc Bouchard's Les feluettes ou La repetition d'un drame romantique, Tomson Highway's The Rez Sisters and Dry Lips Oughta Move to Kapuskasing, Roger Bennett's Up the Ladder, and Daphne Marlatt's The Gull: The Steveston t Noh Project. Native Voices, Foreign Bodies locates theatre translation theory and practice in Japan in the post-war Showa and Heisei eras and provokes reconsideration of Western notions about the complex interaction of tongues and bodies in translation and theatre when they travel and are reconstituted under different cultural conditions.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.034 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".