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Record W2908726607 · doi:10.1080/09608788.2018.1537256

Patriarchal power as unjust: tyranny in seventeenth-century Venice

2019· article· en· W2908726607 on OpenAlexafffund
Marguerite Deslauriers

Bibliographic record

VenueBritish Journal for the History of Philosophy · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPower (physics)PoliticsEmbodied cognitionSociologyPhilosophyPolitical philosophyMoral philosophyLawEpistemologyPolitical science

Abstract

fetched live from OpenAlex

In the debate about the worth of women in sixteenth and seventeenth century Italy three pro-woman authors of the period, Moderata Fonte, Lucrezia Marinella, and Arcangela Tarabotti, developed analyses of male power, particularly as embodied in husbands and fathers. I argue that these analyses identify the wrong of patriarchal power by construing it as a kind of tyrannical rule, in which the tyrant acts in his own interest and fails to recognize the equality (or superiority) of those over whom he rules. Fonte, Marinella and Tarabotti offer similar accounts of the motives and practices of tyrannical men, but differ in their arguments for the moral equality of the sexes – Fonte and Tarabotti base that claim on natural liberty and freedom of the will, whereas Marinella focuses on the intellectual and moral superiority of women grounded in physiology. Two conclusions follow from their arguments: (i) that the rule of men over women is illegitimate and unjust and (ii) that women are better suited than men to legitimate political rule. Although these works have not often been treated as philosophical, their analyses of male tyranny constitute contributions to feminist political philosophy.

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)0.003
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.052
Scholarly communication0.0060.002
Open science0.0010.006
Research integrity0.0020.004
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 head0.052
GPT teacher head0.255
Teacher spread0.203 · 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

Citations16
Published2019
Admission routes2
Has abstractyes

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