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Record W3176762887 · doi:10.1525/sod.2021.7.2.129

Pro-Capitalist Violence and the Great Wave of Dispossession

2021· article· en· W3176762887 on OpenAlexaff
Jasmin Hristov

Bibliographic record

VenueSociology of Development · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsAgrarian societyPolitical economyGlobalizationPolitical scienceCapitalismArgument (complex analysis)SociologyCapital (architecture)EmbeddednessStructural violenceEconomic systemLawEconomicsSocial sciencePoliticsGeography

Abstract

fetched live from OpenAlex

This article aims to theorize the role of violence in securing and promoting conditions for capital accumulation in the era of globalization by focusing on neoliberal development projects in the global South. To this end, I introduce the concept of pro-capitalist violence, with an emphasis on its manifestations in agrarian contexts in Colombia, Mexico, and Honduras—countries that rank as the deadliest places in the world for defenders of land rights and the environment. I show that not all collective violence in these countries is a product of organized crime, gangs, or armed conflict between states and guerrilla groups. The central argument is that pro-capitalist violence has been an essential instrument enabling the neoliberal agrarian restructuring of Latin American countries through dispossession and repression. The article develops two propositions as an entry point to theorizing pro-capitalist violence: its structural embeddedness, exposed by capturing its positive interaction with economic and security legislation; and its multifaceted nature, shown by tracing its different modalities.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score0.226

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.213
Teacher spread0.197 · 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 designObservational
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

Citations12
Published2021
Admission routes1
Has abstractyes

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