Calories in the Classroom: Celebration Foods Offered and Consumed during Classroom Parties at an Elementary School in a Low-Income, Urban Community
Bibliographic record
Abstract
BACKGROUND: The school food environment is an important area of exploration in investigating the potential for schoolchildren to consume foods and beverages containing excess calories on school grounds. Several venues offer schoolchildren access to lownutrient, calorie-dense foods and beverages. Classroom celebrations offer such a venue; however, little is known about current practices during these events. METHODS: Trained observers recorded foods and beverages offered, activities engaged in, and goody bag distribution during six separate classroom celebrations. Additionally, foods and beverages consumed by 24 individual students were recorded in detail for calorie estimation. RESULTS: The majority of food items offered during classroom celebrations were low-nutrient, calorie-dense items. The mean caloric contribution for all 24 students was 444 ± 221 calories, with a range of 130–905 calories, and a median intake of 386 calories. Mean total estimated calorie intake per grade level was 225 ± 90, 286 ± 105, and 550 ± 212 calories for students in prekindergarten, kindergarten, and 1st grade, respectively. Only one-third of all the parties observed included activities other than eating. CONCLUSIONS: Our observations reveal that food items offered during classroom celebrations offer children opportunities to consume low-nutrient, calorie-dense foods and beverages on the school campus. More research is needed to support these findings, and to identify the best practice to implement for effective school wellness policies aimed at regulating classroom celebrations.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".