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Record W2996790307

The Postmodern Relationship with Nature in Don Delillo’s White Noise

2019· article· en· W2996790307 on OpenAlexaff
Alexander Davis

Bibliographic record

VenueJournal of English Literature and Cultural Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPostmodernismPostmodernityConsumerismAestheticsSociologyWhite (mutation)Environmental ethicsEpistemologyPhilosophyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

With climate change and species endangerment a news regularity, it is essential to examine how the dominant postmodern social activity, consumerism, impacts nature. Importantly, it is necessary to inquire about the human relation to nature in postmodernity. This paper examines Don DeLillo’s novel White Noise to understand how consumerism reconfigures the human relationship with nature and importantly transforms this relationship along consumer parameters. Using Jean Baudrillard’s philosophy of the consumer society and hyperreality, this paper elaborates how the characters of White Noise perceive and interact with nature through images and signs of entertainment and advertising. Shifting from literary predecessors, these consumer aspects remove the affiliation and critical aspect to inquire about the environment. Ultimately, while the environment once offered tranquility, harmony, and reflection, the images and signs of nature are merely recirculated and postmodern sites of consumption are instead accepted as society’s ‘natural’ environment. While highlighting these aspects in White Noise the paper relates these insights to the postmodern condition and concludes with strategies to reclaim the former empathic relationship with nature.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.694

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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 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
Published2019
Admission routes1
Has abstractyes

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