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Record W4318195391 · doi:10.3138/ecf.35.1.43

“Mind Is Revealed in the Countenance”: Subversive Laughter and Caricature in <i>The Woman of Colour</i>

2023· article· en· W4318195391 on OpenAlexvenueno aff
Leigh-Michil George

Bibliographic record

VenueEighteenth-Century Fiction · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLaughterFemininityWhite (mutation)Context (archaeology)ArtAestheticsLiteratureRace (biology)HierarchyGazePsychoanalysisSociologyGender studiesPsychologyHistory

Abstract

fetched live from OpenAlex

Throughout The Woman of Colour (1808), Olivia Fairfield, the Black mixed-race heroine, ridicules the “fair sex” bodies of white female characters who irrationally judge the heroine as inferior because of the colour of her skin. In this article, I extend Lyndon J. Dominique’s reading of Olivia’s subversive gaze and laughter found in Imoinda’s Shade (2012). In building on Dominique’s insights, I show how Olivia paradoxically uses caricatural tropes of fat versus thin and young versus old to envision caricature on her own terms: to challenge and resist anti-Black stereotypes. When the novel is examined within the context of contemporary visual caricatures that depict the Black female body as grotesque, one recognizes that Olivia’s defensive use of verbal caricature is a rhetorically strategic attempt to challenge England’s racial hierarchy, by reaffirming her own femininity and “fairness.”

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.211
Teacher spread0.197 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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