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Record W7117135642 · doi:10.5206/fpq/2024.1/2.18728

“Friendly” Men and Social Roles

2024· article· W7117135642 on OpenAlexvenueno aff
Ross F. Patrizio

Bibliographic record

VenueFeminist Philosophy Quarterly · 2024
Typearticle
Language
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrder (exchange)Social responsibilitySocial constructionismSocial theoryMoral responsibility

Abstract

fetched live from OpenAlex

In 1983, Andrea Dworkin gave a speech entitled “I Want a Twenty-Four-Hour Truce during Which There Is No Rape,” in which she argued that the only way to put an end to the culture of rape in society is for men to take responsibility for it. The view that it is up to men to dismantle the culture of rape—including “friendly” men, who do not actively endorse and perpetuate this culture—might have been considered radical at the time, but the same is no longer true today. Dworkin’s view, or something very close to it, is now garnering widespread attention and credibility. The purpose of this article is to find a philosophical theory of responsibility that can vindicate and elucidate Dworkin’s claims. In order to do so, I develop a view that combines Zheng’s role-ideal model of responsibility with Witt’s conception of gender as a mega social role. I argue that by combining these accounts we find a philosophically satisfying theory of what it means to say, with Dworkin, that men are responsible for the culture of rape.

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 score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.052
Scholarly communication0.0050.006
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.316
Teacher spread0.288 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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