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Record W2072690732 · doi:10.1108/00070701211197392

Consumer knowledge about dietary fats: another French paradox?

2012· article· en· W2072690732 on OpenAlexaffabout
Laure Saulais, Maurice Doyon, Bernard Ruffieux, Harry M. Kaiser

Bibliographic record

VenueBritish Food Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsConsumption (sociology)Food choiceOriginalityObesityMarketingTest (biology)PopulationSample (material)PsychologyEnvironmental healthBusinessMedicineSociologySocial psychologySocial science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to compare knowledge about dietary fats in some dairy products and other foods across consumers from France, (French‐speaking) Canada and the USA. A relation is explored between the types of information, knowledge levels and obesity predominance. Design/methodology/approach A nine‐question nutritional test was developed and administered to three samples of consumers, respectively in Grenoble (France), Quebec, Canada and Ithaca, New York. In France, Canada and the USA the number of participants was respectively 100, 107 and 120. Participants were recruited randomly outside groceries stores and the test was administered directly through one‐on‐one interviews. Findings Results indicate a significant gap in knowledge between consumers from the three countries studied. The level and quality of knowledge seems to be correlated with the nature of the informational background: a wider availability of information such as nutrition facts and public health recommendations on fat consumption seems to have a positive effect on the general level of knowledge. However, “technical” knowledge seems to be inversely correlated to the level of obesity. Research limitations/implications This work is of an exploratory nature and the sample might not be representative of the countries' population. Further works that link food knowledge and food consumption patterns would be needed. Practical implications This study gives weight to the hypothesis that a “science” or nutrient approach to food might not result in appropriate food choices; consumers losing sight of the big picture. To confirm this hypothesis, further work would be needed. Originality/value This is, to the authors' knowledge, the first cross‐country study that attempts to link the type of knowledge on fat in food and predominance of obesity. This should encourage nutritionist to further investigate this link. It should also concern the dairy industry, given most often consumers' perception of dairy products' fat content is overestimated, especially for fluid milk in France.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.292
Teacher spread0.254 · 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

Citations22
Published2012
Admission routes2
Has abstractyes

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