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Record W4388265139 · doi:10.1017/9781108878272.002

Introduction

2023· book-chapter· en· W4388265139 on OpenAlexaff
Michael Nowlin

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

This second edition of The Cambridge Companion to F. Scott Fitzgerald offers both new and familiar readers an authoritative guide to the full scope of Fitzgerald’s literary legacy. Gathering the critical insights of leading Fitzgerald specialists, it includes newly commissioned essays on The Beautiful and Damned , The Great Gatsby , Tender Is the Night , Zelda Fitzgerald, Fitzgerald’s judgment of his peers, and Fitzgerald’s screenwriting and Hollywood years, alongside updated and revised versions of four of the best essays from the first edition on such topics as youth, maturity, and sexuality; the short stories and autobiographical essays; and Americans in Europe. It also includes an essay on Fitzgerald’s critical and cultural reputation in the first decades of the twenty-first century and an up-to-date bibliography of the best Fitzgerald scholarship and criticism for further reading.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.475
Threshold uncertainty score0.749

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.4750.300

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 head0.019
GPT teacher head0.171
Teacher spread0.152 · 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.

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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