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Record W2911758368 · doi:10.1002/agr.21604

Chinese consumers’ preferences for quality signals on fresh milk: Brand versus certification

2019· article· en· W2911758368 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

VenueAgribusiness · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsCertificationEconLitBusinessMarketingAdvertisingQuality (philosophy)Affect (linguistics)Consumption (sociology)PsychologyEconomicsBiologySociologyManagement

Abstract

fetched live from OpenAlex

Abstract This study examines the influences of brand and certification on Chinese consumers’ choices of fresh milk products. Specifically, we examine interrelationships between brand and certification for fresh milk and how trust and consumption habits affect consumers’ reactions to these different quality signals. Our results show that Chinese consumers tend to buy branded rather than unbranded fresh milk products and that fresh milk carrying quality certifications is also preferred. We find evidence of both substitution and complementary effects between brands and certifications. Results from a latent class model reveal three latent consumer groups for fresh milk: brand/certification seekers, price‐sensitive shoppers, and habitual buyers. Habitual buyers are loyal to the brand they most frequently purchase, whereas respondents who exhibit higher levels of trust and education are more likely to be brand/certification seekers. [EconLit Citations: Q13; D12].

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.194
GPT teacher head0.289
Teacher spread0.095 · 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