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Record W2346997066 · doi:10.1111/joac.12159

Transgenic Crops in Latin America: Expropriation, Negative Value and the State

2016· article· en· W2346997066 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Agrarian Change · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsExpropriationLatin AmericansNeoliberalism (international relations)AgricultureValue (mathematics)State (computer science)Political scienceEconomicsPolitical economyLawBiologyEcology

Abstract

fetched live from OpenAlex

This paper introduces a symposium on transgenic crops and neoliberalism in Latin America. We address the question: What is the relationship between the neoliberal food regime and transgenic crops in Latin American agriculture? Our goals are, first, to provide the main conceptual definitions and analytical parameters to contextualize the case studies that follow; and, second, using the findings of our contributors as our empirical stepping stone, to briefly elaborate the concepts of expropriation, accumulation by dispossession and negative value as the primary consequences of the neoliberal food regime. We also offer a brief description of each of the papers in the symposium that follows, linking them to our theoretical proposal. We hope this symposium will help in further exploration of the connection between GM crops and the larger dynamics of capitalist development worldwide.

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.

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 score0.915
Threshold uncertainty score0.089

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 studies0.0000.000
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 head0.023
GPT teacher head0.202
Teacher spread0.179 · 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