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Record W1933424460 · doi:10.1002/agr.21426

Market Dynamics Associated with Canadian Ethnic Vegetable Production

2015· article· en· W1933424460 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAgribusiness · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsVineland Research and Innovation Centre
Fundersnot available
KeywordsEthnic groupProduct (mathematics)Conjoint analysisPreferenceProduction (economics)Scale (ratio)Value (mathematics)Quality (philosophy)BusinessMarketingCountry of originGeographyAgricultural economicsEconomicsPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT Ethno‐cultural vegetables are increasingly in demand in Canada. Little research has examined differences in cultural preferences for these vegetables. Using conjoint analysis within an online survey of Canada and key export markets in the U.S., we examine consumer preference for external attributes of several (okra, yardlong bean, and Asian long purple eggplant) ethno‐cultural vegetables. Further, we examine how wide‐scale introduction of U.S., Ontario, and Quebec vegetables into Ontario impacts the market. Our results indicate differences between ethnic heritage group preferences. We find home country bias as most ethnic groups positively value product from their home country. Results also indicate that the value of external quality, such as freshness, appearance, size, and firmness, on the purchase decision is different across ethnic heritage groups. We also find that the introduction of Ontario product competes well with U.S. product in Ontario, however, Quebec product could be the biggest competitor to Ontario production.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.189
Teacher spread0.168 · 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