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Record W2072039439 · doi:10.3138/cras.2014.008

Suburbia’s Alien Reek: Contract and Relation in John Cheever’s <i>Bullet Park</i>

2014· article· en· W2072039439 on OpenAlexvenueno aff
Joseph George

Bibliographic record

VenueCanadian Review of American Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIndividualismConformityRelation (database)NormativePhilosophyPresuppositionAestheticsSociologyIdentity (music)RomanceEnvironmentalismIntersubjectivityEpistemologyPsychoanalysisLawPolitical sciencePoliticsPsychology

Abstract

fetched live from OpenAlex

Abstract: Since its establishment in the waning years of World War II, the US post-war suburb has connoted inauthenticity and conformity. But the understanding of authenticity implicit in this characterization presupposes an individualist notion of selfhood and a contractualist approach to social relations—presuppositions that, in turn, lead us to anticipate the very conformity also associated with inauthenticity. This article argues that the fiction of John Cheever adheres, not to the Romantic individualism that underlies normative views of suburbia, but to the process of identity formation described by Martin Heidegger, one that emphasizes relation to the present and factual. Accordingly, it claims that Cheever’s 1969 novel Bullet Park imagines suburbia as a prime space, not for inauthenticity and conformity, but for difference and intersubjectivity.

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: none
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.029
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0020.004
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 head0.017
GPT teacher head0.258
Teacher spread0.241 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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Same venueCanadian Review of American StudiesSame topicShort Stories in Global LiteratureFrench-language works237,207