SUSANNAH MARY CHEWNING, ed. Intersections of Sexuality and the Divine in Medieval Culture: The Word Made Flesh.
Bibliographic record
Abstract
IN her introduction, editor Susannah Mary Chewning explains the uniqueness of this collection when she highlights ‘its attempt to see the sexual in the spiritual and vice versa—and to see sexuality and the Divine as not one or another possibility but as part of a larger continuum that continues to adapt to human experience and progress’ (p. 4). Within the volume, the aspects of medieval culture in which sexuality and the divine intersect are divided into four sections, each containing two or three relatively short essays: secular literature and drama, romance and narrative, saints and religious women, and visionaries and mystics. Texts written for or by the laity dominate the first two sections; these include the York Joseph's Troubles Pageant (Michael W. George), the Livre du Chevalier de la Tour Landry (Mark Addison Amos), two fifteenth-century alchemical poems (Cynthea Masson), the Merchant's Tale (M. C. Bodden), and Pearl (Catherine S. Cox). The second half of the volume analyses hagiographic and mystical writings, including the Liflade ant te Passiun of Seinte Margarete (Julie E. Fromer), the writings of Gertrud the Great of Helfta (Alexandra Barratt), The Book of Margery Kempe (Liz Herbert McAvoy), post-Reformation Catholic texts (David A. Salomon), and the Wohunge Group (Michelle M. Sauer, as well as the editor's own contribution).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.039 | 0.015 |
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".