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Record W2505011943 · doi:10.1017/cbo9780511485497.004

A “gorgeous neutrality”: social justice and Stephen Crane's documentary anaesthetics

2003· book-chapter· en· W2505011943 on OpenAlexaff
Mary Esteve

Bibliographic record

VenueCambridge University Press eBooks · 2003
Typebook-chapter
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsCharacter (mathematics)MistakeNarrativeArtPerformance artArt historySociologyAestheticsLawHistoryLiteraturePolitical science

Abstract

fetched live from OpenAlex

In contrast to the Jamesian attention to urban domesticity, Stephen Crane's narratives and sketches make homelessness practically a condition of urban being. If the characters populating his cityscapes are not literally homeless, as are those seeking shelter in flophouses in “The Men in the Storm” and “An Experiment in Misery,” then they are usually depicted as psychically or physically a very long way from home, as are the urchins in “An Ominous Baby” and “A Great Mistake,” as well as the adults in “The Broken-Down Van.” Others, such as the titular character in Maggie , are driven away from home or have veritable war zones as homes, as in “A Dark Brown Dog” and George's Mother . In short, Crane's urban homes, if depicted at all, are rather ferocious than sweet. This anti-sentimental depiction of domesticity conforms of course to the late nineteenth-century realist imperative: to expose the sordid, hellish underbelly of modern city life. Thus Crane's city streets are equally troubled. But they do, at least, seem to offer his homeless population certain attractions and pleasures. One main attraction, literally in the psycho-physiological sense, is the crowd. Crane's street people are chronically forming crowds: to battle an opposing gang of urchins, to demand charity, to eat lunch in a restaurant; to look at a burning building, a fallen man, a traffic accident, or simply at the crowd itself. Many of Crane's crowd configurations, I want to suggest, contribute to the imagination of a kind of home away from home.

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)0.003
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 score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.038
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.188
Teacher spread0.172 · 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
Published2003
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicAmerican and British Literature AnalysisFrench-language works237,207