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Record W1566586182 · doi:10.5539/ells.v5n2p78

F. Scott Fitzgerald’s Unique Literary and Writing Style

2015· article· en· W1566586182 on OpenAlexvenueno aff
Fahimeh Keshmiri, Mina Mahdikhani

Bibliographic record

VenueEnglish Language and Literature Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStyle (visual arts)Modernism (music)ExistentialismLiteratureRealismWriting styleAestheticsEleganceArtPhilosophyEpistemology

Abstract

fetched live from OpenAlex

The importance of including Fitzgerald in American Literature anthologies cannot be overestimated. He believed that he was an original. Fitzgerald's style is completely his own and perhaps the most incomparable aspect of his prose. It is neither so subtly different that it takes perfect pitch to identify nor so eccentric as to be self-consciously sui generis as some other modernist writers. He frequently exploited and became famous for his material rather than because of his technical innovations. The central thematic concerns of Fitzgerald were those of his time and of his country. As writers' material—the subjects, experiences, ideas that they examine and re-examine—is what makes them the kinds of authors they are, this paper tries to investigate more intensely on the influence of three important literary movements: Realism, Modernism and Existentialism on Fitzgerald’s creative works, his material, subjects and themes and techniques and style based on his creative novels.

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)0.004
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.004
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.016
GPT teacher head0.251
Teacher spread0.235 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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