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Record W1761214527 · doi:10.15353/cfs-rcea.v2i2.99

FS - From protest to policy: The challenges of institutionalizing food sovereignty

2015· article· en· W1761214527 on OpenAlexaffvenue
Hannah Wittman

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGrassrootsFood sovereigntyAgrarian societySovereigntyPolitical scienceSustainabilitySolidarityState (computer science)InstitutionalisationDistributive justiceEconomic JusticePolitical economyLaw and economicsBusinessAgricultureEconomicsLawFood securityGeographyEcology

Abstract

fetched live from OpenAlex

In response to the failure of current approaches to alleviate the linked challenges of global food insecurity and environmental degradation—many of which involve voluntary measures to improve agricultural efficiency and increase yield—grassroots actors have called for the re-regulation and state-based institutionalization of principles derived from the food sovereignty framework (Iles & Montenegro de Wit, 2014; Wittman, 2011). As articulated by international agrarian movements in the mid 1990s, these principles include ecological sustainability; distributive justice, ensuring a socially just allocation of resources (Agyeman & Alkon, 2011); and procedural justice, which involves “fair and transparent decision-making processes that are adaptable to specific local conditions” (Loos et al., 2014, p. 357).

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)0.046
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0460.053
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0120.049
Scholarly communication0.0210.016
Open science0.0030.017
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0100.001

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 head0.109
GPT teacher head0.244
Teacher spread0.135 · 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 designNot applicable
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

Citations26
Published2015
Admission routes2
Has abstractyes

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