Bibliographic record
Abstract
BETH HOLMGREN, Starring Madame Modjeska: On Tour in Poland and America, reviewed by Kazimierz Braun CHERISE SMITH, Enacting Others: Politics of Identity in Eleanor Antin, Nikki S. Lee, Adrian Piper, and Anna Deavere Smith, reviewed by Jennifer DeVere Brody JENNY SPENCER ed., Political and Protest Theatre after 9/11: Patriotic Dissent, reviewed by Lindsay B. Cummings MARGARET LEASK, Lena Ashwell: Actress, Patriot, Pioneer, reviewed by Nicholas Dekker MARIKO HORI TANAKA, YOSHIKI TAJIRI, and MICHIKO TSUSHIMA eds., Samuel Beckett and Pain, reviewed by Eric P. Levy LANCE GHARAVI, ed., Religion, Theatre, and Performance: Acts of Faith, reviewed by David Mason BRIAN SINGLETON, Masculinities and the Contemporary Irish Theatre, reviewed by Charlotte McIvor C. ALAN SHORT, PETER BARRETT, and ALISTAIR FAIR with Monty Sutrisna and Giorgios Artopoulos, Geometry and Atmosphere: Theatre Buildings from Vision to Reality, reviewed by Cathy Turner
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.407 | 0.375 |
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".