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Record W4285593389 · doi:10.15353/cfs-rcea.v9i2.535

Striving toward a peasant identity

2022· article· en· W4285593389 on OpenAlexaffvenueabout
Roseann Lydia Kerr, Erin Richan, Coral Sproule, Ayla Fenton

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsPeasantAllianceContext (archaeology)RestructuringAgroecologyPolitical scienceFutures contractAgricultureNorm (philosophy)Identity (music)Food systemsSociologyPolitical economyEconomic systemBusinessFood securityEconomicsGeography

Abstract

fetched live from OpenAlex

As diverse actors work through disparate food movements seeking to tackle the causes and effects of the global food crisis, Holt-Giménez and Shattuck (2011) call for strategic alliances between progressive and radical trends in the food movement to transform our current food system. This paper focuses on the process of alliance formation by exploring the subjectivities of three of the authors who identify as women farmers and have had opportunities to learn from and engage with peasant movements through their participation in courses, encounters and organizing spaces of La Via Campesina (LVC). These farmers’ goal of striving toward a peasant identity reveals the influence of peasant-to-peasant processes (PtPP) on their conceptions of possible futures, and simultaneously exposes tensions and struggles in agroecology transition within the Canadian context, where capitalist industrial agriculture is the norm. Using the lens of post-structural feminism, we explore the potential for radical peasant movements to influence and inspire the restructuring of our ways of relating with the earth and each other in the global North. Based on this analysis we deepen our understanding of how PtPP can foster South-North alliances which have the potential to engender food system transformation.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.057
GPT teacher head0.229
Teacher spread0.172 · 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 teacher head, not a consensus.

Study designObservational
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

Citations5
Published2022
Admission routes3
Has abstractyes

Explore more

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