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Record W4243963800 · doi:10.3138/cras.41.2.223

Tear into the Guts: Whitman, Steinbeck, Springsteen, and the Durability of Lost Souls on the Road

2011· article· en· W4243963800 on OpenAlexvenueno aff
Brent Ryan Bellamy

Bibliographic record

VenueCanadian Review of American Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeOppressionIdeologyPoetryAestheticsLiteratureHollywoodArtArt historyLaw

Abstract

fetched live from OpenAlex

Abstract: This article investigates the relationship between the concepts of freedom and confinement and the metaphor of “the road” in the works of three significant American cultural figures. A close analysis of the formal elements of the poetry of Walt Whitman, the novels of John Steinbeck, and the songs of Bruce Springsteen reveals a negation at the core of durability. These narratives pit characters, readers, and listeners against the ideology of freedom that structures road narratives and American durability. Whitman's version of the road is open and apparently available to all, whereas Steinbeck's version inverts these terms, making the road a place of oppression and confinement. Beginning to unveil these contradictions, Springsteen's music grasps the weight and emptiness of the road as a cultural signifier. Finally, the article argues that only through collective thought and action within and against the contradictions inherent in durability can we stop simply persisting and start living.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.016
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.243
Teacher spread0.210 · 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
Published2011
Admission routes1
Has abstractyes

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