False knights and true men: contesting chivalric masculinity in English treason trials, 1388–1415
Bibliographic record
Abstract
The treatment of high-status traitors in later medieval England intrigues historians, who have sought explanations for increasingly brutal penalties and analysed degrading punishments that undid the traitor's knighthood. Recent scholarship incorporates gender into this analysis, suggesting rituals of degradation feminised the traitor and thereby preserved the coherence and integrity of elite masculine identity. This article uses the framework of homosociality to expand the analysis of gender in politically motivated cases of treason where traitors were characterised as ‘false’ knights. In these cases, treason was conceived of as the corruption of knightly manhood because the potential for treason was intrinsic to chivalric values of love and loyalty through which knightly masculinity was performed. The knight and the traitor were mutually constitutive rather than oppositional gendered identities, which meant the traitor's punishment could destabilise rather than reinforce elite masculinity as embodied in the knight.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".