<i>Raptus</i>, Ravishment, and “Self-Divorce”: The Heterotopic Space of Malory’s Morgan le Fay
Bibliographic record
Abstract
Morgan le Fay is an “outsider” character in Malory’s Morte Darthur. Despite being closely connected to Camelot, Morgan quickly sets herself apart from Camelot both legally and physically, establishing herself as an antagonist to Arthur’s rule. Using Michel Foucault’s concept of heterotopia, I argue that Morgan le Fay’s act of setting herself apart from Camelot results in the creation of a heterotopic space around her, and that this space extends and enhances her own agency while also allowing for a consideration of how her character disrupts the chivalric order of Camelot. Alongside this, I explore how Morgan’s abduction of Launcelot and his forced entrance into her heterotopic space allows for an examination of the lack of language as it pertains to a male victim in the Pentecostal Oath and in medieval English laws of raptus and ravishment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.022 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".