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Agri‐Food Governance and Expertise: The Production of International Food Standards

2009· article· en· W2010801586 on OpenAlex
Richard Lee

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

VenueSociologia Ruralis · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsCorporate governanceFood processingProcess (computing)CommissionProduction (economics)Food systemsSet (abstract data type)Political scienceBusinessEconomicsAgricultureFood securityManagementLawEcologyComputer scienceBiology

Abstract

fetched live from OpenAlex

Abstract This article examines a particular mode of agri‐food governance: international food standard setting. Sociological accounts of technical regulatory processes such as standard setting can help to illuminate the role of expertise in the governance of the agri‐food system. Firstly, the potential contribution of the concept of epistemic communities to the analysis of international food standard setting is discussed. Secondly, the article details the architecture of international trade regulation and the operational procedures of the Codex Alimentarius Commission (the Codex), the intergovernmental organisation in which international food standards are set. Thirdly, the role of scientific expertise to the standard setting process in the Codex is explored through a case‐study of the attempt to establish an international definition for dietary fibre. The article concludes by reflecting upon the importance of contestation over knowledge claims to the conduct of agri‐food governance.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.678
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.269
Teacher spread0.250 · 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