Bibliographic record
Abstract
This volume examines the erotic in the literature of medieval Britain, primarily in Middle English, but also in Latin, Welsh and Old French. Seeking to discover the nature of the erotic and how it differs from modern erotics, the contributors address topics such as the Wife of Bath's opinions on marital eroticism, the role of clothing and nudity, the tension between eroticism and transgression, the interplay between religion and the erotic, and the hedonistic horrors of the cannibalistic Giant of Mont St Michel. Contributors: ALEX DAVIS, SIMON MEECHAM-JONES, JANE BLISS, SUE NIEBRZYDOWSKI, KRISTINA HILDEBRAND, ANTHONY BALE, CORY JAMES RUSHTON, CORINNE SAUNDERS, AMANDA HOPKINS, ROBERT ROUSE, MARGARET ROBSON, THOMAS H. CROFTS III, MICHAEL CICHON. AMANDA HOPKINS teaches in the department of English and Comparative Literary Studies and the department of French at the University of Warwick. CORY RUSHTON is in the Department of English at St. Francis Xavier University, Nova Scotia, Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.001 |
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; both teacher heads agree on what is shown here.
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".