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Record W2019232190 · doi:10.1017/cbo9780511485497

The Aesthetics and Politics of the Crowd in American Literature

2003· book· en· W2019232190 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2003
Typebook
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsPoliticsDemocracyCitizenshipIconAestheticsCrowdsSociologyHistoryArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

Mary Esteve provides a study of crowd representations in American literature from the antebellum era to the early twentieth century. As a central icon of political and cultural democracy, the crowd occupies a prominent place in the American literary and cultural landscape. Esteve examines a range of writing by Poe, Hawthorne, Lydia Maria Child, Du Bois, James, and Stephen Crane among others. These writers, she argues, distinguish between the aesthetics of immersion in a crowd and the mode of collectivity demanded of political-liberal subjects. In their representations of everyday crowds, ranging from streams of urban pedestrians to swarms of train travellers, from upper-class parties to lower-class revivalist meetings, such authors seize on the political problems facing a mass liberal democracy - problems such as the stipulations of citizenship, nation formation, mass immigration and the emergence of mass media. Esteve examines both the aesthetic and political meanings of such urban crowd scenes.

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.

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 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 score0.913
Threshold uncertainty score0.634

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.179
Teacher spread0.168 · 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