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Record W2161384873 · doi:10.1177/1440783310384455

Shokuiku

2010· article· en· W2161384873 on OpenAlexaff
Catherine L. Mah

Bibliographic record

VenueJournal of sociology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPublic healthSociologyCorporate governanceContext (archaeology)Health promotionLate modernityPublic administrationPolitical sciencePublic relationsSocial scienceEconomicsHealth careLawMedicineManagement

Abstract

fetched live from OpenAlex

This paper examines the issue of public health governance in a globalized context through the lens of nutrition policy in contemporary Japan. I focus upon the case of shokuiku (food education), institutionalized in the 2005 national-level Basic Law on Food Education. First, I consider the emergence of shokuiku within the context of recent public health policy developments, specifically, a shift towards a decentralized and personalized view of public health in Japan. Second, I examine the policy discourses around shokuiku and how they convey the relationships between food and public health. These discourses centre upon the notion of a healthy and traditional Japanese food culture practiced in the home, only recently interrupted by modernity. When presented within a health promotion framework focused upon lifestyle diseases, such ideas can enable and reinforce neoliberal approaches to public health and food security where the locus of governing authority lies largely outside the state.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0280.006

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 head0.207
Teacher spread0.198 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations22
Published2010
Admission routes1
Has abstractyes

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