Book Reviews
Bibliographic record
Abstract
Don B. Wilmeth and Christopher Rigsby, eds., The Cambridge History of American Theatre, Vol. Ill: Post-World War II to the 1990s, reviewed by David Krasner Stephen A. Black, Eugene O'Neill: Beyond Mourning and Tragedy, reviewed by Gary Jay Williams James M. Harding, ed., Contours of the Theatrical Avant-Garde: Performance and Textuality., reviewed by Stephen J. Bottoms Djanet Sears, ed., Testifyin': Contemporary African Canadian Drama: Volume I, reviewed by Diana Brydon Amalia Gladhart, The Leper in Blue: Coercive Performance and the Contemporary Latin American Theater, reviewed by Jean Graham-Jones Elain Aston and Janelle Reinelt, eds., The Cambridge Companion to Modern British Women Playwrights, reviewed by Jen Harvie Patrick M. Horan, The Importance of Being Paradoxical: Maternal Presence in the Works of Oscar Wilde, reviewed by Russell Jackson Joel Kaplan and Sheila Stowell, eds., Look Back in Pleasure: Noel Coward Revisited, reviewed by Brian Parker Peter Wolfe, Understanding Alan Bennett, reviewed by Dominic Shellard Claire Sponsler and Xiaomei Chen, eds., East of West: Cross-Cultural Performance and the Staging of Difference, reviewed by Benzi Zhang
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.415 | 0.421 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".