Bibliographic record
Abstract
Monsters abound in Old and Middle English literature, from Grendel and his mother in Beowulf to those found in medieval romances such as Sir Gowther. Through a close examination of the way in which their bodies are sexed and gendered, and drawing from postmodern theories of gender, identity, and subjectivity, this book interrogates medieval notions of the body and the boundaries of human identity. Case studies of Wonders of the East, Beowulf, Mandeville's Travels, the Alliterative Morte Arthure, and Sir Gowther reveal a shift in attitudes toward the gendered and sexed body, and thus toward identity, between the two periods: while Old English authors and artists respond to the threat of the gendered, monstrous form by erasing it, Middle English writers allow transgressive and monstrous bodies to transform and therefore integrate into society. This metamorphosis enables redemption for some monsters, while other monstrous bodies become dangerously flexible and invisible, threatening the communities they infiltrate. These changing cultural reactions to monstrous bodies demonstrate the precarious relationship between body and identity in medieval literature.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.757 | 0.546 |
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; the direct Gemma label and the distilled Codex classifier 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".