MétaCan
Menu
Back to cohort
Record W2021841025 · doi:10.1080/01436597.2015.1002989

Accelerating towards food sovereignty

2015· article· en· W2021841025 on OpenAlexaff
A. Haroon Akram‐Lodhi

Bibliographic record

VenueThird World Quarterly · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsTrent University
FundersUnited Nations Development Programme
KeywordsFood sovereigntyFood systemsSovereigntyRealisationPolitical scienceFoundation (evidence)Psychological interventionPolitical economyEconomic growthEconomySociologyFood securityEconomicsGeographyAgricultureLawPolitics

Abstract

fetched live from OpenAlex

Rural social movements and urban food activists have sought to build food sovereignty because it has the potential to be the foundation of an alternative food system, transcending the deep-seated social, economic and ecological contradictions of the global food economy. However, continuing to build food sovereignty requires changes to global and local food systems that have to be undertaken in the messy reality of the present. This article therefore presents a series of wide-ranging, politically challenging but ultimately feasible interventions that are necessary but not sufficient conditions for its realisation.

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)0.016
metaresearch head score (Gemma)0.017
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 score0.016
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0070.011
Open science0.0010.014
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0090.001

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 head0.053
GPT teacher head0.227
Teacher spread0.174 · 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

Citations50
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueThird World QuarterlySame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207