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Alberta Consumers’ Valuation of Extrinsic and Intrinsic Red Meat Attributes: A Choice Experimental Approach

2009· article· en· W1981062970 on OpenAlexaffvenueabout
Bodo Steiner, Fei Gao

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsValuation (finance)MicroeconomicsBusinessEconomicsEconometricsAdvertising

Abstract

fetched live from OpenAlex

This paper analyzes Alberta consumers’ perceptions toward extrinsic and intrinsic attributes of bison and beef steaks. In contrast to published Canadian consumer studies on bison meat that were undertaken prior to May 2003, before the first BSE case of Canadian origin was identified in beef cattle, this study provides a “post‐BSE” assessment of consumer perceptions toward selected bison meat attributes. The results from an attribute‐based choice experiment provide little support that simple traceability assurance schemes have value to consumers of bison and beef steaks, thus confirming similar findings of earlier beef studies that have employed different methodological approaches. The results also suggest that consumers are willing to pay significant premiums for bison steaks that are certified as being produced without genetically modified organisms, an attribute that has so far been unexplored in previous published bison studies. Le présent article analyse les perceptions des consommateurs de l’Alberta envers des attributs intrinsèques et extrinsèques du bifteck de bœuf et de bison. Contrairement aux études canadiennes sur la consommation de viande de bison publiées avant mai 2003, soit avant l’apparition du premier cas d’ESB dans un troupeau de bovins canadien, la présente étude livre une évaluation « post‐ESB » des perceptions des consommateurs envers des attributs sélectionnés de la viande de bison. Les résultats obtenus à partir de la méthode des choix multi‐attributs apportent peu d’appui à l’idée voulant que les mécanismes simples d’assurance de la traçabilité aient de la valeur pour les consommateurs de bifteck de bison et de bœuf, ce qui confirme les résultats similaires d’études antérieures sur le bœuf effectuées à l’aide de diverses approches méthodologiques. De plus, les résultats ont montré que les consommateurs sont prêts à payer un supplément appréciable pour du bifteck de bison certifié sans organisme génétiquement modifié (OGM), un attribut qui n’a pas été examiné dans les études sur le bison publiées antérieurement.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.091
GPT teacher head0.180
Teacher spread0.089 · 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 designObservational
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

Citations21
Published2009
Admission routes3
Has abstractyes

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