Indigenizing <em>King Lear</em>
Bibliographic record
Abstract
Staged with an all‑aboriginal cast, the 2012 production of William Shakespeare’s King Lear at Canada’s National Arts Centre creatively reimagined the play in a frontier New World setting. Directed by Peter Hinton, and starring August Schellenberg (Mohawk) as Lear, the production placed Shakespeare’s drama in seventeenth‑century Canada, amongst a group of Algonquin people on the outer edge of European colonialism and cultural contact. The idea for this resetting of the play originated with August Schellenberg—some 45 years ago—who thought that Lear would be particularly adaptable to an indigenous / First Nations setting. That it took nearly half a century to realize that vision says much about the difficulty of getting mainstream audiences and theater companies to consider the inclusion of indigenous peoples in cultural activities outside of often stereotyped and limited representational roles. By placing an all‑aboriginal cast on stage at the National Arts Centre in the capital city of Ottawa, this unique production of King Lear intervened in a cultural discourse that has marginalized and excluded indigenous voices from the national arts scene.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.050 | 0.007 |
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".