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Consumer Attitudes and Acceptance of CLA‐Enriched Dairy Products

2006· article· en· W2052273303 on OpenAlexaffvenueabout
Yanning Peng, Gale E. West, Cindy Wang

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2006
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsAgriculture and Agri-Food CanadaAgriculture Food and Rural Development
FundersU.S. Food and Drug Administration
KeywordsConjugated linoleic acidFood scienceBusinessDairy industryCoronary heart diseaseAgricultural scienceBiologyMedicineLinoleic acidFatty acid

Abstract

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Consumers have increasingly recognized the link between health and diet, and are taking special interest in functional foods that promise to enhance health and reduce the risk of diseases. Milk, an excellent source of essential nutrients, as well as an ideal carrier of healthy functional ingredients, holds promise for the development of functional foods. A variety of functional milk products have been launched into the market, such as yogurt, milk, butter and cheese fortified with vitamins, minerals, and omega‐3 fatty acids. Conjugated linoleic acid (CLA), which may help reduce the risk of cancer, heart disease, and obesity, is naturally found in milk. The dairy industry is working actively with scientists to develop CLA‐enriched dairy products to serve Canadian consumers. This study examines consumers' attitudes toward CLA‐enriched products, and identifies several key factors that may help determine consumers' acceptance of these products. The information obtained from this study is useful for the dairy industry to develop marketing strategies for CLA and other functional milk products. Les consommateurs reconnaissent de plus en plus le lien entre la santé et le régime alimentaire et manifestent un intérêt particulier pour les aliments fonctionnels qui promettent d'améliorer la santé et de diminuer le risque de maladies. Le lait, qui constitue une excellente source d'éléments nutritifs essentiels de même qu'un véhicule idéal d'ingrédients fonctionnels sains, semble prometteur pour la mise au point d'aliments fonctionnels. Une variété de produits laitiers fonctionnels, tels que le yogourt, le lait, le beurre et le fromage enrichis de vitamines, de minéraux et d'acides gras oméga‐3, ont été lancés sur le marché. L'acide linoléique conjugué (ALC), qui pourrait contribuer à réduire les risques de cancer, de maladie du cœur et d'obésité, se trouve naturellement dans le lait. L'industrie laitière collabore activement avec les scientifiques pour mettre au point des produits laitiers enrichis d'ALC pour les consommateurs canadiens. La présente étude a examiné l'attitude des consommateurs envers les produits enrichis d'ALC et a identifié plusieurs facteurs clés qui pourraient aider à déterminer l'acceptation de ces produits de la part des consommateurs. L'information recueillie dans le cadre de la présente étude est utile pour l'industrie laitière qui l'utilisera pour élaborer des stratégies de marketing pour l'ALC et d'autres produits laitiers fonctionnels.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.194
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations81
Published2006
Admission routes3
Has abstractyes

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