Reviews: Fictions of Conversion: Jews, Christians, and Cultures of Change in Early Modern England, Shakespeare and the Remains of Richard III, Shakespeare and the Law: A Conversation among Disciplines and Professions, the Accommodated Animal: Cosmopolity in Shakespearean Locales, the Romantic Crowd: Sympathy, Controversy and Print Culture, Romantic Readers and Transatlantic Travel: Expeditions and Tours in North America, 1760–1840, in the Shadow of the Gallows: Race, Crime, and American Civic Identity, Unusual Suspects: Pitt's Reign of Alarm and the Lost Generation of the 1790s, Romanticism and Childhood: The Infantilization of British Literary Culture, Reading Victorian Deafness: Signs and Sounds in Victorian Literature and Culture, Economic Woman: Demand, Gender, and Narrative Closure in Eliot and Hardy, We Modern People: Science Fiction and the Making of Russian Modernity, Dying for Time: Proust, Woolf and Nabokov, Transatlantic Avant-Gardes: Little Magazines and Localist Modernism, Regional Modernisms, the New Death: American Modernism and World War I, Samuel Roth, Infamous Modernist, the Love-Charm of Bombs: Restless Lives in the Second World War, Unbecoming Americans: Writing Race and Nation from the Shadows of Citizenship, 1945–1960, London Irish Fictions: Narrative, Diaspora and Identity
Bibliographic record
Abstract
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".