<i>Food Habits of Canadians:</i> Food Sources of Nutrients for the Adolescent Sample
Bibliographic record
Abstract
Adolescents need good nutrition, both to grow to their full potential and to decrease their risk of obesity and chronic diseases in adolescence and later life. The Food Habits of Canadians study provides data on the important food sources of energy and nutrients in a sample of Canadian teenagers. One 24-hour recall was obtained for 178 teenagers living in households participating in a national survey of 1,543 adults. Foods were categorized into 51 groups, and ranked according to contribution of key nutrients, energy, and fibre. Top contributors to energy and other nutrients included foods of low nutrient density (cakes/cookies/pastries, carbonated beverages, sugars/jams/syrups, and salty snacks). A high intake of nutrient-poor foods, particularly high-sugar beverages, is a concern for this sample of Canadian teenagers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".