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Record W4417001033 · doi:10.5325/style.47.4.0509

Flaubertian Aesthetics, Modernist Ethics and Animal Representation in Hemingway's <i>Green Hills of Africa</i>

2013· article· en· W4417001033 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

VenueStyle · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNarrativeReading (process)Representation (politics)Style (visual arts)Order (exchange)Close reading

Abstract

fetched live from OpenAlex

Abstract Hemingway's Green Hills of Africa is widely deplored for its portrayal of trophy hunting. Acknowledging the accusations, I question their ethical conclusions by drawing on recent work in narrative ethics in order to consider how animals are treated not only in the narrative but also by the narrative. Animals uniquely test the ethics of representation; to address this aesthetic and ethical challenge, Hemingway appropriates techniques adaptable from Flaubert's principled commitment to the mot juste and authorial impersonality. The result is a highly mimetic, often ineloquent style that complicates any simple negative reading of his stance toward animals. Attending to Hemingway's stylistic practices opens his writing to more nuanced interpretations of his narrative ethics; it also helps situate his work with other modernist attempts to represent animals as beings inaccessible to human ways of thinking, yet not beyond ethical consideration.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score0.998

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 studies0.0000.000
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 head0.027
GPT teacher head0.239
Teacher spread0.212 · 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