MétaCan
Menu
Back to cohort
Record W1784526114 · doi:10.15353/cfs-rcea.v2i2.118

GFT - Food fight: What the debate about food security means at the WTO

2015· article· en· W1784526114 on OpenAlexvenueno aff
Gawain Kripke

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 institutionsnot available
Fundersnot available
KeywordsFood securityInternational tradeNegotiationPolitical scienceEnforcementAgricultureAdministration (probate law)Foreign policyEconomic growthBusinessEconomicsPoliticsLawGeography

Abstract

fetched live from OpenAlex

Although still experiencing significant levels of hunger and malnutrition, India has recently taken historic measures to improve food security, namely through the expansion of domestic food assistance programs. Under the Obama Administration, the U.S. has prioritized improving global food security and promoting agriculture development within the foreign policy agenda. President Obama has helped to lead the international community in reviving funding and attention to these issues. Yet, the U.S. has opposed the Indian food security program in negotiations at the World Trade Organization (WTO) by rejecting India’s proposals to shield the program from possible WTO enforcement. The disagreement came to a head in the WTO Ministerial Conference in Bali, Indonesia in December 2013 and more recently at a senior-level WTO meeting in July 2014 where negotiations collapsed. The conflict is emblematic of disjointed policy debates and development theories around food security, agriculture, and trade.

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)0.018
metaresearch head score (Gemma)0.022
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 score0.963
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0080.019
Scholarly communication0.0170.018
Open science0.0020.004
Research integrity0.0230.021
Insufficient payload (model declined to judge)0.0090.002

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 head0.052
GPT teacher head0.221
Teacher spread0.168 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Food Studies / La Revue canadienne des études sur l alimentationSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207