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Record W2064270574 · doi:10.1002/agr.1022

The perceived importance of veal meat attributes in consumer choice decisions

2001· article· en· W2064270574 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 · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsAgriculture and Agri-Food CanadaUniversité Laval
Fundersnot available
KeywordsConsumption (sociology)Production (economics)HabitBusinessAgricultural scienceQuality (philosophy)Agricultural economicsMarketingEconomicsPsychologyMicroeconomicsBiology

Abstract

fetched live from OpenAlex

Abstract Animal scientists have recently found a way to produce extremely pale grain‐fed veal, thus achieving high quality grade, while averting concerns over unethical treatment and medication residues in milk‐fed veal production. Consumers, however, may reject pale cuts of veal labeled as “grain‐fed.” This article uses questionnaire data from six groceries in the province of Quebec, Canada, to investigate frequency of veal purchases and perceived importance of price, color, and production type as determinants of veal purchases. Consumers do not appear to have clear preferences for milk‐fed veal characteristics. Frequency of consumption and importance of veal meat attributes were influenced more by variables of habit formation than by price, income, or education. The veal industry might be advised to encourage consumption of veal as a means to diversify consumers' meat menu. [Econ‐Lit citations: D120, Q130] © 2001 John Wiley & Sons, Inc.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.738

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 head0.026
GPT teacher head0.230
Teacher spread0.204 · 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