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Record W4387333151 · doi:10.3138/ecf.35.4.497

Fictions of Character

2023· article· en· W4387333151 on OpenAlexvenueno aff
Nicola Parsons, Amelia Dale

Bibliographic record

VenueEighteenth-Century Fiction · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)AdventureCommodificationLiteratureScholarshipHistoryArtArt history

Abstract

fetched live from OpenAlex

This essay asks what happens to theorizations of literary character when we consider the formally complex treatment of character within the pornographic or otherwise disreputable texts that proliferate across eighteenth-century print. Harris’s List of Covent-Garden Ladies (1760–94), a catalogue of women involved in London’s sex trade, is a piece of character writing; its characters are the marginalized, racialized, and sexually commodified. We examine how repetition operates in the treatment of two women of West Indian origin, in separate annual editions, and show how Harris’s List embeds its characters in sexual and racial economies of reiteration and circulation. We demonstrate how characterization in such texts has implications for scholarship on the eighteenth-century novel and our understanding of novel characters, showing how Frances Brooke’s The Excursion (1777) and Thomas Holcroft’s The Adventures of Hugh Trevor (1794–97) ambivalently incorporate the forms of character writing that Harris’s List deploys.

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 categoriesInsufficient 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: none
Teacher disagreement score0.495
Threshold uncertainty score0.996

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)0.0050.001

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 head0.022
GPT teacher head0.214
Teacher spread0.192 · 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
Published2023
Admission routes1
Has abstractyes

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