Bibliographic record
Abstract
Primary Objective: The obesity rate among young Americans is now almost 25% with higher rates found in minority populations; lack of exercise and poor eating habits are some of the leading causes. The collegiate environment provides a unique opportunity to share nutrition-related knowledge while enhancing students’ awareness,both of which may ultimately lead to changes in health-related behaviors. Mindful eating is associated with a lower Body Mass Index (BMI) and an increased intake of fruits and vegetables. A semester-long nutrition course may result in an increased awareness of eating patterns and may be associated with improvements in dietary intake over time.Methods: Of the 38 students registered for a college-level nutrition course held during an almost four-month-long-semester, 37 self-selected to complete an anonymous Mindful Eating Questionnaire (MEQ) before and after taking the nutrition course; the participants also answered two open-ended questions for qualitative data collection post-test.Results: Of the 37 students 22 were female and 16 male between the ages of 18 and 24; 35 % self-identified as African American, 29% self-identified as white, 22% as self-identified as Latino/Hispanic, 10% self-identified as other and 2% self-identified as Native Hawaiian or Pacific Islander. No significant change in the MEQ score occurred from pre to post-test; however, there was a trend towards improvement. The students’ answers to open-ended questions regarding any shifts in understanding, approach, or changes in eating habits, revealed overwhelming increases in mindful eating and dietary changesConclusions: A collegiate course taught over a semester is a unique opportunity to introduce nutrition information, emphasizing the connection between nutrition, optimal health, and disease prevention. A student’s exposure to nutrition information while also observing their own eating patterns over time can provide a non-judgmental informed space that allows for the development of a heightened awareness. In turn, the heightened awareness can lead to changes in eating behaviors as evidenced here.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".