Bibliographic record
Abstract
In the broadest and most transhistorical sense, the anti-theatrical prejudice can be seen as a trope whereby the longstanding Western anxiety about secondariness or supplementarity finds cultural expression. This metaphysical problematic leads by implication to other familiar moral hierarchies, most notably the binarisms that set essence against appearance, feminine against masculine, writing against speech, fiction against truth. For the anti-theatrical polemicist, theatre stands in for the ambiguities and indeterminacy of history itself, metaphorically invoking, as Jonas Barish so eloquently puts it, "a whole shoal of evils, of varying shapes and sizes, from the social sea”. The reading of anti-theatrical discourse in the Western tradition that Barish gives us reveals the startling paradox that anti-theatricality is ultimately not about the theatre and always about something else: the stage is inevitably a mere symptom of some other, less effable social or metaphysical malady. The case "against" the theatre is fascinating precisely because it stages such a broad spectrum of transhistorical anxieties in historically and culturally specific terms, such that anti-theatrical diatribes often come to powerfully dramatize conflicts and antipathies that are essentially local and radically contingent.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.086 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".