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Record W2564458787 · doi:10.1111/apv.12127

Beyond ‘voting with your chopsticks’: Community organising for safe food in China

2016· article· en· W2564458787 on OpenAlex

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

VenueAsia Pacific Viewpoint · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of WaterlooWilfrid Laurier University
Fundersnot available
KeywordsGrassrootsChinaAgency (philosophy)Public relationsContext (archaeology)ReflexivitySociologyDissentSocial movementPolitical sciencePolitical economyPoliticsSocial scienceLaw

Abstract

fetched live from OpenAlex

This paper describes the recent emergence of alternative food networks in China in the context of widespread food quality concerns. Drawing on interviews and public blog posts, we illustrate how participants in these networks are moving beyond instrumental market relations and developing the collective agency necessary to participate in shaping China's food system. We argue that the initiators and participants in these alternative food networks are not only individual shoppers who ‘vote with their chopsticks’, but are also nascent activists deploying grassroots community organising strategies. We reveal how these networks are using inclusive and reflexive processes to build diverse networks, how they are using internet communications to extend their reach, voice dissent and engage in nascent ‘bottom up’ policy formation, and how they are building influential connections and actively, but unofficially, expanding linkages to broader emancipatory spaces of global and social justice movements.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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