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Record W4407232091 · doi:10.15173/glj.v15i3.5720

Beyond the Fields: Solidarity Narratives and Coalition Building in the Fair Food Movement

2024· article· en· W4407232091 on OpenAlexvenueno aff
Phillip A. Hough, Vanessa De Becze, Karthik Ramanujam, Charles Burggraff

Bibliographic record

VenueGlobal Labour Journal · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityNarrativeMovement (music)Political scienceSociologyPolitical economyAestheticsLawArtLiteraturePolitics

Abstract

fetched live from OpenAlex

This paper extends scholarship on emerging sources of worker power in the 21st century through an examination of the solidarity activism of the Coalition of Immokalee Workers (CIW), an agricultural worker-led human rights organisation that advocates for Fair Food policies. The successes of the CIW are unexpected, since Florida’s migrant workers lack the traditional sources of worker power that bolstered the labour struggles of the 20th century. Through in-depth interviews and a survey of student-farmworker activists, we extend scholarship rooted in the power resources approach to analyse the societal forms of power – both discursive and coalitional – that the CIW has developed in their efforts to harness broad social support from actors beyond the fields. We demonstrate how CIW coalitions are sustained through solidarity narratives that clarify the stakes for student allies and the discursive frames that motivate their activism.

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)0.009
metaresearch head score (Gemma)0.009
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0220.035
Scholarly communication0.0090.012
Open science0.0010.013
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.224
Teacher spread0.214 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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