Bibliographic record
Abstract
Chaucer and the English Tradition (Ian Robinson) (Reviewed by Bernard Huppé, SUNY Binghamton)Hero & Saint Shakespeare and the Graeco-Roman Heroic Tradition (Reuben A. Brower) (Reviewed by Russell Fraser, University of Michigan)Shakespeare's Use of Music: The Histories and Tragedies (John H. Long) (Reviewed by John P. Cutts, Oakland University)Versions at Baroque: European Literature in the Seventeenth Century (Frank J. Warnke) (Reviewed by Milorad Margitic, Wayne State University)Toward Women in Love: The Emergence of a Lawrentian Aesthetic (Stephen J. Miko) (Reviewed by Allen E. Austin, University of Guelph)Elizabeth Bowen (Allen E. Austin) (Reviewed by James Gindin, University of Michigan)Henry James and the Requirements of the Imagination (Philip M. Weinstein) (Reviewed by Edward Recchia, )Source and Meaning in Spenser's Allegory: A Study of "The Faerie Queene" (John Erskine Hankins) (Reviewed by Jay B. Ludwig, Michigan State University)
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 | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.422 | 0.366 |
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".