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Record W4388271603 · doi:10.1017/9781108878272.011

Great Art, Small Art, and Modernist Cachet

2023· book-chapter· en· W4388271603 on OpenAlexaff
Michael Nowlin

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsModernism (music)LiteratureArtArgument (complex analysis)Context (archaeology)PhilosophyArt historyAestheticsHistory

Abstract

fetched live from OpenAlex

“Great art is the contempt of a great man for small art”: This maxim from Fitzgerald’s notebooks squares with his ambition to be among the greatest American writers of his time. Fitzgerald’s evolving sense of who his era’s giant writers were – through the judgments of what he called “the cultural world” – led him by the time he wrote The Great Gatsby and just after to align his work with an elite, international modernism. But as this chapter demonstrates, Fitzgerald’s fiction remained relatively conventional in the context of revolutionary modernism, in good part because of his care for ordinary readers. And the high regard he professed for writers like Joyce, Stein, and Conrad did not preclude his generous interest in more ordinary contemporaries. His wide, eclectic reading of his contemporaries reveals the actual catholicity and conventionality of his literary tastes. The argument suggests that while Fitzgerald’s reputation was bolstered by his positioning himself on the side of the anti-commercial and avant-garde values of the modernist literary field, it was his professional commitment to good, affective writing that proved most crucial to his winning what he most coveted: literary immortality.

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)0.001
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 score0.006
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0060.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.077
GPT teacher head0.203
Teacher spread0.126 · 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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