Book Reviews
Bibliographic record
Abstract
Richard Schechner, Performance Studies: An Introduction, reviewed by Jill Dolan Colin Counsell and Laurie Wolf, Performance Analysis: An Introductory Coursebook, reviewed by James Peck Lizbeth Goodman and Jane de Gay, The Routledge Reader in Politics and Performance, reviewed by Nadine George-Graves Bert Cardullo and Robert Knopf, eds., Theater of the Avant-Garde, 1890–1950: A Critical Anthology, reviewed by Robin Nelson Michael Huxley And Noel Witts, eds., The Twentieth-Century Performance Reader, reviewed by Robin Nelson Martin Puchner, Stage Fright: Modernism, Anti-Theatricality, and Drama, reviewed by Stanton B. Garner, Jr. Marvin Carlson, The Haunted Stage: The Theatre as Memory Machine, reviewed by Rebecca Schneider Spencer Golub, Infinity (Stage), reviewed by Rebecca Schneider Freddie Rokem, Performing History: Theatrical Representations of the Past in Contemporary Theatre, reviewed by Leigh Clemons Ian Watson, ed.,Performer Training: Developments across Cultures, reviewed by David Krasner Daniel Meyer-Dinkgräfe, Approaches to Acting: Past and Present, reviewed by David Krasner
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.375 | 0.379 |
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".