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Record W2564071729 · doi:10.1163/15685306-12341421

Can the Postcolonial Animal Speak?

2016· article· en· W2564071729 on OpenAlexaff
Fayaz Chagani

Bibliographic record

VenueSociety and Animals · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsYork University
Fundersnot available
KeywordsAnthropocentrismHumanismSubjectivityPostcolonialism (international relations)EpistemologyCriticismArgument (complex analysis)SociologyAestheticsField (mathematics)Environmental ethicsPhilosophySocial scienceLiteratureArt

Abstract

fetched live from OpenAlex

This essay addresses the repression of considerations of human-animal relations in postcolonial studies. It suggests that because the field has not fully examined its own anthropocentrism, it continues to reproduce a rather conventional humanism in spite of many claims to the contrary. A central argument of the essay is that in failing to recognize the subjectivity of nonhuman animals, and accepting their exclusion from a moral universe reserved for humans, postcolonial criticism participates in the symbolic and physical violence committed against them. In terms of approach, the essay begins by tracing three humanist “moments” in the career of postcolonialism. This is followed by an assessment of the recent ecocritical turn in postcolonial literary studies. The essay concludes by considering whether humanism does in fact need to be overcome and what remains to be done for postcolonial thinking to more adequately confront “the question of the animal.”

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.037
Scholarly communication0.0080.008
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.193
Teacher spread0.182 · 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 designTheoretical or conceptual
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

Citations17
Published2016
Admission routes1
Has abstractyes

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