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Record W1550484555

Law's Slow Violence

2011· article· en· W1550484555 on OpenAlexaff
Dayna Nadine Scott

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsYork University
Fundersnot available
KeywordsEnvironmentalismNarrativeCriticismResistance (ecology)SociologyCommodificationCommodityPolitical scienceCriminologyAestheticsLawPoliticsArtLiteratureEcology
DOInot available

Abstract

fetched live from OpenAlex

With gripping urgency, Rob Nixon’s book Violence and the Environmentalism of the Poor seeks to reveal the “occluded relationships” between transnational economic actors and the things that tie them to particular places, such as labour, land, resources and commodity dynamics. He brings into view the bodies caught in the middle – those that have been raced and erased, made invisible, and wiped away -- by exposing the violence perpetrated against them across time and space. Nixon’s work is a broad synthesis of a seemingly disparate set of literatures in post-colonial studies, eco-criticism and literary studies. His arresting narrative engages three primary concerns: the phenomenon of “slow violence,” the environmentalism of the poor; and the role of the writer-activist in the work of making the first two ‘visible.’ Slow violence, in Nixon’s conception, is “a violence that occurs gradually and out of sight, a violence of delayed destruction that is dispersed across time and space, an attritional violence that is typically not viewed as violence at all.” Because he views a major aspect of the critical challenge to be representational – the problem of devising “stories, images and symbols adequate to the pervasive but elusive violence of delayed effects” – Nixon focuses on the storytellers themselves. And the storytellers he chooses are the writer-activists that have inspired an environmentalism of the poor, primarily in the Global south. They include Arundhati Roy, Ken Saro-Wiwa, Abdulrahman Munif, and Jamaica Kincaid, among others. They are all figures who, like Nixon, demonstrate a stubborn resistance to liberalism’s urge to “locate violence outside law.” Instead of treating law as that which contains violence, they plainly confront its complicity.

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)0.004
metaresearch head score (Gemma)0.012
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 score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.023
Scholarly communication0.0090.009
Open science0.0020.007
Research integrity0.0130.021
Insufficient payload (model declined to judge)0.0110.002

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 head0.026
GPT teacher head0.234
Teacher spread0.208 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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