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Record W2137885313 · doi:10.18172/jes.71

To glow with bright colours : Jimmy Gatz's trip to Oz

2002· article· en· W2137885313 on OpenAlexaff
Dennis Duffy

Bibliographic record

VenueJournal of English Studies · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWizard of ozWizardArt historyArtHistoryVisual artsComputer science

Abstract

fetched live from OpenAlex

L. Frank Baum's The wonderful wizard of Oz (1900) could have furnished F. Scott Fitzgerald with a matrix of imagery and thematic for his The Great Gatsby (1925). The children's classic had sold widely and even been dramatized during Fitzgerald's childhood. Its emphasis on the greenness of the Emerald City foretells the role played by the colour green in Fitzgerald's novel. Baum's relentless optimism offers a foil to the profoundly tragic vision of the novelist; his title figure (also from the American Midwest) resembles Gatsby in his fraudulence. The shallowness of material fulfilment had preoccupied Fitzgerald since "The Diamond as Big as the Ritz" (1921). Gatsby enriched that vision. Could Wizard have furnished him with a network of imagery?

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0230.006

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 head0.026
GPT teacher head0.233
Teacher spread0.207 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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Same venueJournal of English StudiesSame topicAmerican and British Literature AnalysisFrench-language works237,207