Canadian Native Theatre: Humour, Magic and Reality
Bibliographic record
Abstract
Despite Canadian aboriginals’ long-documented inclination towards \nperformance, Native dramaturgy is a recent phenomenon. Born out of \nthe feeling of having been wronged but, fortunately, not of the desire to \ntake revenge, Native playwrights base their pieces on the collision between \nthe Euroamerican intellectual tradition and the mythic perspective \nof a quite sophisticated oral literature, which claims knowledge is \nborn from the revelation found in the marvellous. They imagine spaces \nin which common and uncommon things exist side by side, design plays \nfor the entertainment and education of Natives and non-Natives alike, \nand aim at encouraging a transnational solidarity. In the present paper I \nanalyse Native drama in terms of themes and techniques, I argue it is \ninformed by the vision of Bertolt Brecht and the surrealism of Sam \nShepard, and suggest that comedy is the most suitable genre for its \nauthors’ purposes.
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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 | 0.021 | 0.019 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".