Marc Maufort and Franca Bellarsi. Citing the Other: Revisions of Marginality in Australian and English-Canadian Drama
Bibliographic record
Abstract
This volume, the first of a new "Dramaturgies: Texts, Cultures and Performances" series edited by Marc Maufort, has much to recommend it to students and teachers of post-colonial drama in Australia and Canada. Its twenty-two essays (ten on Australian drama, nine on Canadian, and three comparative) by a number of well-known critics are, for the most part, strongly written, with solid scholarship and clear appeal; together, they offer many important and insightful reflections, syntheses, and suggestions for additional research. (It is puzzling to me, though, that the editors have tacked on an Appendix, which features an interview with Aboriginal playwright John Harding. Their rationalization – that they are giving the last word not to critics but to playwrights – is insufficient. And why is there then no interview with a Canadian playwright?)
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".