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Record W2582729918 · doi:10.5565/rev/dea.60

“O Brother Where Art Thou?” Inferno 26 According to the Brothers Coen

2016· article· en· W2582729918 on OpenAlexaboutno aff
Mary Alexandra Watt

Bibliographic record

VenueDante e l Arte · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThouBrotherNarrativeHEROInterpretation (philosophy)LiteratureArtArgument (complex analysis)PhilosophyTheologySociologyMedicine

Abstract

fetched live from OpenAlex

This essay challenges the traditional critical interpretation of the Coen Brothers’ 2001 film “O Brother Where Art Thou” by proposing that the film is not simply a retelling of the Odyssey but rather that it looks not to the Homeric narrative but rather to Dante’s reinvention of the Greek hero Odysseus / Ulysses for its inspiration. In support of this argument the essay highlights a number of narrative cues that point us to Inferno 26, where Ulysses is punished as a fraudulent counselor. The fact that the film’s protagonist, Ulysses Everett McGill was convicted of impersonating a lawyer and lied to his “brothers” Delmar and Pete to induce them to escape with him, are but two such indicators examined in this study. But the essay also looks at the role that the soundtrack plays in alerting the reader to a highly Dantesque hermeneutic strategy, as well as the film’s Dantesque awareness of the role of ingegno in creating fiction, or lies that look like truth.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.016
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.238
Teacher spread0.202 · 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
Published2016
Admission routes1
Has abstractyes

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