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Record W4407589223 · doi:10.71106/nygj4507

The Supermarket: Consumerism, Simulation, and the Fear of Death in Don DeLillo's White Noise

2020· article· en· W4407589223 on OpenAlexaff
Hafizul Hamdi

Bibliographic record

VenueLanguage Literature and Interdisciplinary Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsConsumerismWhite (mutation)White noiseNoise (video)AdvertisingPsychologyArtPsychoanalysisComputer scienceTelecommunicationsArtificial intelligenceBusinessPolitical scienceLaw

Abstract

fetched live from OpenAlex

Through a study of Don Delillo’s metafictional novel, White Noise, this paper portrays the ways in which the novel reflects upon the postmodern American world of consumerism and simulation. The space of the supermarket reveals not only the post-modern subject’s obsession with the erratic shopping mode of life, but also the detachment of the subject from the reality of the product he or she buys. Polyphony or the diversity of discourses, similar to the Bakhtin’s theory of the marketplace in his definition of the novelistic genre, translates the invasion of media communications, advertising, TV commercials, and conversations in the daily life of the contemporary fictional characters. These discourses, in their polyphonic aspect, function as mediated representations which obstructs the subject’s relationship with reality. This paper demonstrates that, behind the surface, the supermarket, as both a space and a metaphor for the world of Simulacra and consumerism, hides another existentialist issue—man’s fear of death. The supermarket is, therefore, not only interpreted as a metaphor for the American Simulacra and consumerism, but also as a self-reflexive element which, in Bakhtinian terms, reflects the polyphonic nature of the fictional world of the novel. The paper discusses Gladney couple’s defence mechanism strategies to defy or repress death, and the metafictional nature of ‘white Noise’ which fears its own hermeneutic closure, another name for death.

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 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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.359

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 studies0.0000.001
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 head0.022
GPT teacher head0.291
Teacher spread0.270 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

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