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Record W4283165591 · doi:10.3138/ecf.34.4.415

Breakfast with “Her inky Demons”: Celebrity, Slavery, and the Heroine in Late Eighteenth-Century British Fiction

2022· article· en· W4283165591 on OpenAlexvenueno aff
Ruth Scobie

Bibliographic record

VenueEighteenth-Century Fiction · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperWhite (mutation)SubjectivityReading (process)HistoryLiteratureArtPoetrySociologyMedia studiesLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Late eighteenth-century British newspapers were vehicles of celebrity and scandal; they were also venues for the advertising of slaves. The juxtaposition made newspapers a potentially explosive and productive object in British fiction. This essay identifies a formulaic scene, originating in William Hayley’s popular poem The Triumphs of Temper (1781) and recurring in various forms in fictions by Maria Edgeworth, Frances Burney, and Elizabeth Inchbald, as well as many less well-known novels of fashionable life, in which a young white woman experiences sudden unwanted celebrity by reading about herself in a morning newspaper. This essay introduces the term “dyspathy” for the mechanism by which these fictions present the heroine as always threatened by, but inevitably rescued from, a newspaper sphere in which older discourses of blackness, and metropolitan unease at the commodification of humans, were tightly but implicitly associated. Emerging white supremacist ideas of race are shown to be fundamental to the construction of feminine domestic subjectivity in these fictions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.171
Teacher spread0.164 · 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.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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