The Uses and Misuses of Misogyny: A Critical Historiography of the Language of Medieval Women's Oppression
Bibliographic record
Abstract
This article examines the development of language used to describe the oppression of medieval women—particularly the terms patriarchy and misogyny—and its connection with the women's movement of the late twentieth century. It argues that the broad application of the word misogyny by medieval historians to describe a wide spectrum of anti-feminine attitudes and the tendency to understand misogyny and patriarchy as coterminous are inaccurate and problematic. The article supports this position first with an analysis of medieval clerical texts that use the common medieval linkage of women with sex and pollution. The analysis suggests that the usage of this negative linkage is not always misogynistic. The article then analyzes three medieval sermon collections intended for preaching to lay audiences and suggests that the sermons, though androcentric or paternalistic and so in some sense patriarchal, are not misogynistic.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".