Consumption of Yogurt in Canada and Its Contribution to Nutrient Intake and Diet Quality Among Canadians
Bibliographic record
Abstract
= 20,487) in order to evaluate patterns of yogurt consumption among Canadians. Overall, 20% of Canadians have reportedly consumed yogurt on a given day in 2015. Higher prevalence of yogurt consumption was noted among children aged 2-5 years old (47%) when compared to adults aged 19-54 years (18%). When the prevalence of yogurt consumption at the regional level in Canada was assessed, Quebec had the most consumers of yogurt (25%) compared to other regions, namely the Atlantic (19%), Ontario (18%), Prairies (19%) and British Columbia (20%). Yogurt consumers reported consuming higher daily intakes of several key nutrients including carbohydrates, fibre, riboflavin, vitamin C, folate, vitamin D, potassium, iron, magnesium, and calcium when compared to yogurt non-consumers. Additionally, the diet quality, measured using NRF 9.3 scoring method, was higher among yogurt consumers compared to non-consumers. Nearly 36% of Canadians who meet the dietary guidelines for milk and alternative servings from the Food Guide Canada (2007) reported consuming yogurt. Lastly, no significant difference in BMI was noted among yogurt consumers and non-consumers. Overall, yogurt consumers had a higher intake of key nutrients and had a better diet quality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".