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Record W2075793590 · doi:10.7202/011139ar

“The Success of Gentleness”: Homosocial Desire and the Homosexual Personality in the Novels of William Godwin

2005· article· en· W2075793590 on OpenAlexvenueno aff
A. A. Markley

Bibliographic record

VenueRomanticism on the Net · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsAffectionMasculinityFriendshipRivalryPsychologyHEROPersonalityBeautyRomanceArgument (complex analysis)PsychoanalysisAestheticsSocial psychologySociologyGender studiesLiteraturePhilosophyArt

Abstract

fetched live from OpenAlex

This article explores William Godwin’s work in his novels to expose ways in which traditional conceptions of masculinity foster aggression and rivalry between men. For Godwin, the destructiveness of such interactions profoundly threatened the potential he saw for the perfectibility of human nature and social relationships. From his early novel Imogen to the deeply psychological Caleb Williams, Fleetwood, and Mandeville, Godwin frequently illustrates the injurious potential of homosocial and homoerotic desire. In many of these instances, such desire is depicted through the use of subtle allusions to classical conceptions of friendship. In the case of Cloudesley, Godwin carries this project further, developing a persona in the hero Julian, whose gentle, feminized personality works to soften the more traditionally masculine and destructive men around him. As a new conception of the male personality, Julian exemplifies Godwin’s argument that “disinterested affection” is the only means towards a more perfect global society. In Godwin’s career as a novelist, therefore, we see an early suggestion that social progress demands a redefinition of traditional conceptions of gender.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.012
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.003
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 head0.019
GPT teacher head0.238
Teacher spread0.219 · 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 designNot applicable
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

Citations2
Published2005
Admission routes1
Has abstractyes

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Same venueRomanticism on the NetSame topicShort Stories in Global LiteratureFrench-language works237,207