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Record W4320484427 · doi:10.1080/03066150.2022.2163628

Shaping our collective futures: activism, analysis, solidarity

2023· article· en· W4320484427 on OpenAlex
Nettie Wiebe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Peasant Studies · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsFood sovereigntySolidarityAgrarian societyFutures contractSociologyFood systemsSocial movementVariety (cybernetics)PoliticsSovereigntyCitizen journalismPolitical sciencePolitical economyFood securityAgricultureEconomicsLawEcology

Abstract

fetched live from OpenAlex

This paper offers a scholar/activist's reflections on some key conceptual and political articulations shaping current food systems analysis to illustrate that crucial knowledge about food systems and social transformation is generated in a variety of sites and ways. Drawing on personal experiences as one of the initial leaders in the global movement, La Via Campesina, the author explores the emergence of food sovereignty, the struggles of agrarian feminists for gender parity, the recognition of women's work, and agro-ecology as sites for the generation of knowledge needed for justice, food systems transformation and the restoration of rural environments.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.831
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.092
GPT teacher head0.310
Teacher spread0.218 · 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