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Record W2470939005

Toxic Discourse: Waste Heritage as Ghetto Pastoral

2014· article· en· W2470939005 on OpenAlexaffvenue
Alana Fletcher

Bibliographic record

VenueStudies in Canadian Literature · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsQueen's University
Fundersnot available
KeywordsReading (process)SociologySpace (punctuation)Environmental ethicsEnvironmental justiceAestheticsLawPolitical scienceArtPhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This paper undertakes the first ecocritical reading of Waste Heritage , building on discussions of space, mobility, and immobility in the novel in recent work by Colin Hill, Jody Mason, and Candida Rifkind. Waste Heritage , this article argues, employs what Lawrence Buell has called “toxic discourse”: a mode of writing that inculcates environmental awareness through images of toxified spaces, places, and bodies. The toxic discourse of the novel signals its affinity with a group of mostly American works that have been called “ghetto pastorals.” While Waste Heritage is not the classic tale of growing up poor that ghetto pastoral usually connotes, like these works it employs disrupted, invaded, and polluted pastoral imagery to critique a capitalist system in which working-class aspirations toward living wages, suburban life, and leisure space are futile. This article provides a much-needed analysis of how complex pastoral relies on toxic discourse, and models this relationship through a reading of the toxic pastoralism apparent throughout Waste Heritage .

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)0.002
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 score0.280
Threshold uncertainty score0.563

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0380.058
Scholarly communication0.0100.005
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.255
Teacher spread0.239 · 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
Published2014
Admission routes2
Has abstractyes

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