Bibliographic record
Abstract
The aesthetic prejudice chiefly in question is that subordination or suppression of the performing subject that is particularly associated with realism in modern drama. It stands revealed as such not only in the staging but also in the performative elements of the verbal texts in which dramatic realism, rather paradoxically, defined itself. The incommensurability of an act of representation and a corresponding embodiment of a performing subject is often made quite obvious in the juxtaposition of modern dramas and their operatic versions, and it is a given in the aesthetics of physical theatre. In the earlier twentieth century, such aesthetic issues were so embroiled in fateful political struggles as to induce such crises of representation as those instanced here: the transmutation, in Walter Benjamin's theory, that brought with it an acceptance of didactic performance; the severe problems encountered in Marc Blitzstein's operatic and remedial transformation of Lillian Hellman's flawed aesthetic in The Little Foxes and its associated moral blindness; and the divergent theatre practices of W.B. Yeats and T.S. Eliot with respect to speech, music, and dance. In these instances, performativity versus discourse is a critical issue, and it remains so in contemporary practice, though hardly the dangerous one that it has been in the past.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.043 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".