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Record W2065764628 · doi:10.3148/66.3.2005.170

<i>Canadians’ Level of Confidence</i> in Their Sources of Nutrition Information

2005· article· en· W2065764628 on OpenAlexaffvenueabout
Marie Marquis, Caroline Dubeau, Isabelle Thibault

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2005
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsCegep regional de LanaudiereCanadian Obesity NetworkUniversité de Montréal
Fundersnot available
KeywordsNutrition informationNewspaperMedicineGovernment (linguistics)PopulationEnvironmental healthSocial mediaThe InternetConfidence intervalMass mediaFamily medicineAdvertisingBusinessFood sciencePolitical science

Abstract

fetched live from OpenAlex

North Americans have a great interest in health and nutrition. However, because sources of nutrition information are vast, the quality of the information varies. We explored the potential benefit of segmenting the Canadian population by geographical location and age in determining the principal sources of nutrition information and level of confidence in these sources. A survey was posted on the Dietitians of Canada website: subjects indicated how frequently they used different healthy eating sources and their level of confidence in the various sources. A total of 870 questionnaires were retained. Magazines, books, the Internet, food labels, and brochures were the most frequently used sources of information. Analyses indicated differences between geographic areas in the use of the media (radio, newspaper, television), dietitians, and naturopaths as sources of nutrition information (p<0.05), and between seven age groups (<18 to 65+ years) in the use of the media (p<0.05). Respondents reported being very confident about nutrition information received from dietitians, physicians, books, the government, and nurses, with some differences occurring between geographic areas (p<0.05).

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.233
GPT teacher head0.489
Teacher spread0.256 · 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.

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

Citations23
Published2005
Admission routes3
Has abstractyes

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