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Record W2096407060 · doi:10.3167/hrrh.2012.380101

The Uses and Misuses of Misogyny: A Critical Historiography of the Language of Medieval Women's Oppression

2012· article· en· W2096407060 on OpenAlexvenueno aff
Paula M. Rieder

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionPatriarchyHistoriographyPaternalismTRACE (psycholinguistics)LiteratureMedieval literatureGender studiesSociologyHistoryArtLinguisticsPhilosophyLawPoliticsPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.003
Science and technology studies0.0100.040
Scholarly communication0.0080.009
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.041
GPT teacher head0.360
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2012
Admission routes1
Has abstractyes

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