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Record W4376112090 · doi:10.1017/9781009296540.006

Spectacular Objects

2023· book-chapter· en· W4376112090 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicCrime and Detective Fiction Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSpectacleRelation (database)LiteratureArtReading (process)ConsciousnessAestheticsSociologyMedia studiesPhilosophyEpistemologyLawPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

Chapter 3 contends that the crime novels of the Newgate school stage the emergence of novelty, spectacle, and celebrity in the everyday lives of the low-born and ordinary. Newgate novels of the 1830s and 1840s examine how, in an emergent mass media culture, notorious figures and extraordinary actions reverberate through the collective consciousness. I argue that Newgate novelists develop a notion of demotic celebrity, showing how the criminal’s talents and achievements might capture the public’s imagination and bring celebrity within reach of insignificant individuals. Reading W. H. Ainsworth’s Jack Sheppard (1839) and Edward Bulwer-Lytton’s Paul Clifford (1830) in relation to William Godwin’s Caleb Williams (1794) and Charles Dickens’s Oliver Twist (1837–38), the chapter shows that the criminal in these novels is a figure aware of his own visibility and conscious of how best to present himself to an audience. The Newgate novels interest in the production of celebrity reflects the permeation of fashion’s logics of contingency and spectacle into quotidian experience across the social spectrum.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.088
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.010
Scholarly communication0.0090.008
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0880.014

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 head0.062
GPT teacher head0.205
Teacher spread0.143 · 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
GenreOther

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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Same venueCambridge University Press eBooksSame topicCrime and Detective Fiction StudiesFrench-language works237,207