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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 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)0.002
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.030
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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