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Record W3035432366 · doi:10.1080/01436597.2020.1768840

Indigenous food sovereignty in a captured state: the Garifuna in Honduras

2020· article· en· W3035432366 on OpenAlexaff
Timothy MacNeill

Bibliographic record

VenueThird World Quarterly · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsIndigenousSovereigntyFood sovereigntyContext (archaeology)PoliticsState (computer science)AutonomyHegemonyPolitical economyPolitical scienceFood securityEconomySociologyDevelopment economicsEconomic growthGeographyEconomicsAgricultureLaw

Abstract

fetched live from OpenAlex

This study explores the emergence of the Afro-Indigenous food sovereignty movement in the context of a captured Honduran state and unequal political economy. In contrast with national-level research that has advocated a policy of food security in the context of non-indigenous campesino movements, this work explains how food sovereignty is more appropriate regarding Garifuna Hondurans. In a political economy that has precluded other options, and given the deep cultural relation that Garifuna activists have to land and autonomy, food sovereignty provides a possibility around which Indigenous development can be animated. It encapsulates a local ‘fight’ response to repression as an alternative to northern ‘flight’, often via migrant caravans, that many Garifuna have undertaken. This study shows how food sovereignty, more than being a technical policy set, is a discursive and material node through which dispossessed and especially indigenous populations can enhance decolonial power in the contestation of entrenched hegemonic and institutionalised power in a corrupt, unequal and colonised political economy.

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 score0.600
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.186
Teacher spread0.170 · 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

Citations11
Published2020
Admission routes1
Has abstractyes

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