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Record W1496919558 · doi:10.1300/j038v12n03_04

Japanese Consumers' Acceptance of Genetically Modified (GM) Food

2006· article· en· W1496919558 on OpenAlex
Renee B. Kim, Milton S. Boyd

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

VenueJournal of Food Products Marketing · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBusinessMarketingFood safetyQuality (philosophy)Ordered probitFood qualityGenetically modified foodWillingness to payPerceptionCertificationFood productsAdvertisingGenetically modified organismPsychologyFood scienceEconomics

Abstract

fetched live from OpenAlex

Abstract Japanese consumers' interest and willingness to accept GM food are elicited from a consumer survey study. Using ordered probit analysis, findings suggest that various food safety and quality labeling information, concern for food safety issues, and attitude towards grocery food products in Japan, are important in Japanese consumers' GM food choice behavior. Limited information and lack of understanding among Japanese consumers regarding GM foods have a negative influence on their attitudes, perception, and interest in GM foods. This may be reflected in the significant degree of importance of food labeling perceived by Japanese consumers. Quality certification/labeling of GM foods may provide an effective solution to informational problems, and may contribute to an increased level of understanding and knowledge of GM food by consumers. In addition, any safety and specific quality benefits of GM food need to be effectively communicated to Japanese consumers through reliable sources and media if marketers wish to increase Japanese consumers' willingness to accept GM food.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.226
Teacher spread0.202 · 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