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Record W4392986317 · doi:10.3138/ecf.36.2.209

The Pre-History of White Feminism in Amatory Fiction

2024· article· en· W4392986317 on OpenAlexvenueno aff
Julianne Adams

Bibliographic record

VenueEighteenth-Century Fiction · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)FeminismVirtueSpectacleOppressionSympathyPower (physics)Gender studiesAestheticsLiteratureArtSociologyPhilosophyPsychologyPolitical scienceLawSocial psychology

Abstract

fetched live from OpenAlex

This article reads amatory fiction through the image of white women’s tears, and it argues that amatory fiction assists in eighteenth-century racialization by idealizing a feminine affect that mobilizes passivity for status. A spectacle of sympathetic attention, white women’s tears exemplify the affective work of white feminism, which singularly analyzes power through gender. Lacking intersectionality, white feminism upholds white supremacy and enables constituents to wield gender oppression self-servingly. This article locates and deconstructs that affective dynamic in Delarivier Manley’s “The Wife’s Resentment” (1720), Penelope Aubin’s “Conjugal Duty Rewarded” (1721), and Eliza Haywood’s “Female Revenge” (1727). These retellings of heroines navigating adulterous lovers depict feminine virtue as passive and essentialize this virtuous passivity within the logic of whiteness. This narrativization victimizes the heroine and purchases her sympathy, which protects her virtue and maintains the heteropatriarchal standards that initially threatened her. This genealogical consideration reframes the affordances of amatory fiction within hegemonic affect.

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)0.003
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 score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.015
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.204
Teacher spread0.191 · 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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