Bibliographic record
Abstract
ENOCH BRATER, 10 Ways of Thinking about Samuel Beckett: The Falsetto of Reason, reviewed by S.E. Gontarski JACKY BRATTON, The Making of the West End Stage: Marriage, Management and the Mapping of Gender in London, 1830-1870, reviewed by Rosemary Barrow BRIAN CLIFF and NICHOLAS GRENE, eds., Synge and Edwardian Ireland, reviewed by Sarah L. Townsend JOHN M. CLUM, The Drama of Marriage: Gay Playwrights/Straight Unions from Oscar Wilde to the Present, reviewed by Jason Fitzgerald SARAH HIBBERD, ed., Melodramatic Voices: Understanding Music Drama, reviewed by Sherry Lee KORITHA MITCHELL, Living with Lynching: African American Lynching Plays, Performance, and Citizenship, 1890–1930, reviewed by Harvey Young WILLIAM JAY SMITH, My Friend Tom: The Poet-Playwright Tennessee Williams, reviewed by Philip C. Kolin CHRISTY STANLAKE, Native American Drama: A Critical Perspective, reviewed by S.E. Wilmer
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 | 0.006 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.361 | 0.342 |
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".