MétaCan
Menu
Back to cohort
Record W2073547308 · doi:10.1016/s1096-7508(01)00053-2

Buyer preferences for durum wheat: a stated preference approach

2000· article· en· W2073547308 on OpenAlexaffabout
Mimi Lee

Bibliographic record

VenueThe International Food and Agribusiness Management Review · 2000
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBushelCompetitor analysisPurchasingPreferenceBusinessMarketingProduct (mathematics)Value (mathematics)AgribusinessSample (material)EconomicsAgricultural scienceAgricultureMicroeconomicsMathematicsBiologyStatisticsAcre

Abstract

fetched live from OpenAlex

The central issue addressed in this paper is the attributes preferred by a sample of buyers of durum wheat grown in Canada. Primary emphasis is the value placed on certain visual and nonvisual attributes by US buyers of durum wheat. In addition, a source variable in the analysis is used to test preferences of US buyers for US-source compared to Canadian-source durum. The latter is a method to test whether durum millers in the US believe that Canadian durum is a superior product, a view widely-held in the Canadian grain trade. Results indicate that higher bushel weight has a positive effect on purchase probability, and appears to be more important to buyers’ purchasing decision than protein content, amylase content, or the choice between no. 1 and no. 2 grade. US millers in the study are shown either a) to prefer US-grown durum over that from Canada, or b) to dislike the single desk seller arrangements involved in purchasing Canadian durum. It appears that US managers who grow or market durum wheat have a competitive edge over their Canadian competitors when marketing to US-based durum users.

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 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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
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)0.0010.000

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 head0.137
GPT teacher head0.228
Teacher spread0.091 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations11
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueThe International Food and Agribusiness Management ReviewSame topicEconomic and Environmental ValuationFrench-language works237,207