<i>University Science Students’</i>: Knowledge of Fats
Bibliographic record
Abstract
PURPOSE: Students entering university often lack knowledge about fats; whether students gain such information during four years at university is unclear. Students' knowledge of fat in the first and fourth years was measured and compared. The effect of a nutrition course on knowledge was also examined. METHODS: A total of 215 science students at a small undergraduate university completed a 15-item, closed-ended questionnaire concerning knowledge of fats in the diet. RESULTS: Fourth-year science students have greater nutrition knowledge of fats than do first-year science students (p<0.005). Given that the majority of first-year students reside on campus and the majority of fourth-year students reside off campus, the purchasing of food and preparation of meals may explain the senior students' greater knowledge of fat. Students who have taken a nutrition course know more about fats than do those who have not (p<0.001). CONCLUSIONS: Taking even one course in nutrition greatly increases nutrition knowledge. Universities could encourage undergraduate students to take a basic nutrition course, which should emphasize the identification and understanding of different types of dietary fats.
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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 | 0.035 | 0.010 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".