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Record W4220740493 · doi:10.1080/25729861.2021.2003010

Social mobilizations and relations of power surrounding the entry of genetic engineered organisms

2022· article· en· W4220740493 on OpenAlexaboutno aff
Marlene Gómez Becerra

Bibliographic record

VenueTapuya Latin American Science Technology and Society · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersHorizon 2020
KeywordsAgrarian societyPeasantPower (physics)Perspective (graphical)TRACE (psycholinguistics)Political economyPoliticsPolitical scienceEconomic systemDevelopment economicsSociologyEconomyEconomicsAgricultureEcologyLawBiology

Abstract

fetched live from OpenAlex

This paper aims to review three books that inform us about the diverse relations of power and power asymmetries in the entry of genetically engineered organisms (GEOs) in countries like Argentina, Brazil, Mexico, and Canada. From a political economy and an agrarian and peasant studies perspective, the authors show that not only the set of rules of national institutions, global corporations, and the global market establish the basis that favor the entry of GEOs. Instead, the conjugation of power asymmetries performed by different actors in power, historical processes, and gender and race inequalities are the ones that trace the path for a realignment of the agrarian system supported by science and based on the stigmatization of social movements.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.002
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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