<i>What Do Ontario Children Eat for Breakfast?</i> Food Group, Energy and Macronutrient Intake
Bibliographic record
Abstract
This study included 305 children living in Ontario in 1993. Our objective was to determine the proportion of daily energy and macronutrient intake consumed at breakfast, and the major food groups contributing to this meal. Demographic data were obtained in a parent interview that was part of the prevention project Better Beginnings, Better Futures. A single 24-hour recall among parents indicated that breakfast provided a mean of 1,230 (+/- 607) kJ. Although only 4.9% (n= 15) of children ate nothing at breakfast, 26.9% had <837 kJ. Many (59.7%) had amid-morning snack; however, children who consumed <837 kJ at breakfast were not more likely to have a snack than were those who had a greater energy intake. The major sources of energy were foods from the milk (27.4%), cereals (22.1%), and breads (14.1%)groups. Energy intake at breakfast was no different in children whose household income was at or above the low-income cutoff than in children whose household income was below the cutoff. While few children missed breakfast, many needed more energy at this meal, and non-economic as well as economic influences on breakfast consumption need to be identified.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".