<i>Mother Courage </i>and Its Abject: Reading the Violence of Identification
Bibliographic record
Abstract
Fifteen years ago, Elin Diamond suggested that feminist theatre theorists could learn a thing or two from Bertolt Brecht and altered the course of an industry. "Brechtian Theory / Feminist Theory: Toward a Gestic Feminist Criticism" (1988) revolutionized the way many of us talk about theatre, as Diamond imagined how femini st critics might "re-radical[ize]" such commonplace Brechtian techniques as the "not-but" and the Verfremdungseffekt for our performance theory and practice; her work promptly generated a number of inquiries into the productive potential of aligning Brecht's theory with contemporary feminist concerns. Diamond's own rejuvenation was expressly theoretical; she never intended to engage the prickly problem of Brecht's own dramas and the "too many saintly mothers" peopling them. Reading her work now, with the luxury of distance, this choice comes as no particular surprise.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.022 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".