MétaCan
Menu
Back to cohort
Record W4320481444 · doi:10.1080/14747731.2023.2171623

Sites, stakes, and scales: radical relationalism and the shifting nature of food sovereignty mobilization

2023· article· en· W4320481444 on OpenAlexafffund
Evan Bowness, Hannah Wittman

Bibliographic record

VenueGlobalizations · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsTrent UniversityUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of British ColumbiaTrent University
KeywordsFood sovereigntySovereigntySocial movementPolitical economyFutures contractPolitical scienceSolidarityMobilizationSociologyIndigenousEconomic systemGeographyEconomicsFood securityEcologyPoliticsLaw

Abstract

fetched live from OpenAlex

Food sovereignty movements emerged in the 1990s as a global constellation of struggles against the corporate food regime. Here, we propose a radically relational ‘sites, stakes, and scales' framework for analyzing food sovereignty mobilization, adopting a flat ontology that considers both actual and potential relations. ‘Sites' refer to the actually existing relations between actors engaged in a social struggle; ‘stakes' are dynamic interests that change as relations in the site change, and ‘scales’ capture how potential relations, such as relative social locations, can become actual relations, reconfiguring the site and stakes involved over space and time. We apply the framework to the work of CEPAGRO, a Brazilian agroecology NGO, tracing mobilizations from rural agroecological transitions, to urban agroecology, to building settler-Indigenous relations of solidarity. The ‘sites, stakes and scales’ framework provides a relatively simple set of concepts to explore how social movement mobilizations change over time and across contexts.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0050.060
Scholarly communication0.0100.015
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.211
Teacher spread0.198 · 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 designQualitative
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

Citations4
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueGlobalizationsSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207