Flipping the Coin on Colorblind Casting? Richard Rose on Directing The Merchant of Venice
Bibliographic record
Abstract
This interview with Richard Rose concerns the 2007 Merchant of Venice he directed at the Stratford Festival in Ontario. With Native actor Graham Greene playing Shylock, the production held the potential to extend the work of recent Merchant stagings that have purposefully cast performers of color as a way to examine legacies of colonial oppression and racism far removed from early modern England. However, the production made little obvious connection between Shylock's Jewishness and Greene's Native identity and, as Rose relates, although the actor's own experience of racism was something he could draw on himself to inform the role, they did not discuss this experience explicitly during rehearsal. In the interview, Rose further touches on his decision to have Greene's Shylock grow more outwardly Orthodox during the play, the production's explicit use of religious symbolism to amplify the profound religious antagonism amongst the characters, and the difference between staging Merchant at Stratford and producing contemporary drama that deals with historical instances of officially sanctioned anti-Semitism.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".