<i>Food Intake and Academic Performance</i>Among Adolescents
Bibliographic record
Abstract
PURPOSE: Prince Edward Island adolescents' food use was examined, as were possible associations between food use and grade, sex, and academic performance. METHODS: Participants (n=325) were purposively selected from four junior high schools. Dietary data were collected using an adaptation of the 2003 Youth Risk Behavior Survey. Demographic information and self-reported academic performance were also assessed. Vegetable and fruit (VF) and milk scores were created, and multivariate analysis was performed to identify which combination of grade, sex, VF score, and milk score predicted academic performance best. RESULTS: Mean daily intakes of VF (4.3 +/- 2.9 servings) and milk (1.7 +/- 1.4 servings) were below recommended levels. Students with higher academic performance (average grades above 90%) were more likely to consume milk, vegetables, and fruit daily than were those who reported lower grades. There was no significant difference in the proportion of adequate milk intakes between students reporting higher and lower academic performance. CONCLUSIONS: The association between VF intake and academic performance supports the need for further research with a larger, more representative sample.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".