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Record W2331068560 · doi:10.1177/2043820614537159

Food security and food sovereignty

2014· article· en· W2331068560 on OpenAlexaff
Jennifer A. Clapp (University of Waterloo)

Bibliographic record

VenueDialogues in Human Geography · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFood sovereigntyFood securityNormativeFood systemsRight to foodSovereigntyPoliticsSociologyPolitical scienceEnvironmental ethicsPolitical economyLaw and economicsLawAgricultureEcology

Abstract

fetched live from OpenAlex

The terms food security and food sovereignty originally emerged as separate terms to describe different things. The former is a concept that describes a condition regarding access to adequate food, while the latter is more explicitly a political agenda for how to address inadequate access to food and land rights. Over the past decade, the critical food studies literature has increasingly referred to these terms as being oppositional to each rather than relational to one another. This commentary reflects on the emergence and rationale behind this binary and argues that the current oppositional frame within the literature is problematic in several ways. First, critics of food security have inserted a rival normative agenda into what was originally a much more open-ended concept. Second, the grounds on which that normative agenda is assigned to food security are shaky on several points. Given these problems, the commentary argues that the juxtaposition of food security and food sovereignty as competing terms is in many ways more confusing than helpful to policy dialogue on questions of hunger and the global food system.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.028
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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 designTheoretical or conceptual
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

Citations104
Published2014
Admission routes1
Has abstractyes

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