Bibliographic record
Abstract
Ryan Claycomb, Lives in Play: Autobiography and Biography on the Feminist Stage, reviewed by Lisa Sloan Laura Cull, Theatres of Immanence: Deleuze and the Ethics of Performance, reviewed by Liza Kharoubi Bernard F. Dukore, Bernard Shaw: Slaves of Duty and Tricks of the Governing Class, reviewed by Matthew Yde Gabriella Giannachi, Nick Kaye, and Michael Shanks, eds., Archaeologies of Presence, reviewed by Andrés Pérez-Simón D.A. Hadfield and Jean Reynolds, eds., Shaw and Feminisms: On Stage and Off, reviewed by J. Ellen Gainor Lara D. Nielsen and Patricia Ybarra, eds., Neoliberalism and Global Theatres: Performance Permutations, reviewed by Joseph Cermatori Lynn R. Wilkinson, Anne Charlotte Leffler and Modernist Drama: True Women and New Women on the Fin-de-Siècle Scandinavian Stage, reviewed by Barbro Sigfridsson S.E. Wilmer and Audronė Žukausaitė, eds., Interrogating Antigone in Postmodern Philosophy and Criticism, reviewed by Brenda Donohue
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.381 | 0.365 |
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".