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Record W2049149406 · doi:10.3138/cras.2014.s09

The Aesthetics of Garbage in Philip K. Dick’s

2014· article· en· W2049149406 on OpenAlexvenueno aff
Ken Simpson

Bibliographic record

VenueCanadian Review of American Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGarbageMateriality (auditing)CapitalismAestheticsFraming (construction)PostmodernismArtLiteraturePhilosophyArt historyHistoryLawComputer scienceArchaeologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

Abstract: This article suggests that the proliferation of garbage in Philip K. Dick’s Martian Time-Slip is not descriptive or predictive but aesthetic. The use of trash in literary and visual art would have been familiar to Dick from the works of Beat poets and assemblage artists circulating in the San Francisco area during the late 1950s and early 1960s, but the specific garbage aesthetic of the novel is based on two principles: the accumulation of found objects and the sacred grotesque, including its suggestion of renewal by inversion. The first principle is inseparable from Dick’s analysis of consumer capitalism, while the second highlights the playful inversion of religious imagery and the possibility of renewal arising from the materiality, debasement, and incoherence of trash. While Dick anticipates postmodern trash aesthetics, especially in the framing of accumulated found objects, his emphasis on the sacred grotesque distinguishes his garbage texts from the “palimpsestic” representations of garbage described by Robert Stam and others.

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 score0.988
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.018
Scholarly communication0.0070.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.324
Teacher spread0.307 · 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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