Student-led Exercise Testing And Prescription Has Benefits For Both Students And Their Community Volunteers
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Service-learning opportunities allow students to apply their knowledge and skills through engagement with their community. Previous studies have suggested that student-led exercise testing and health screening can benefit both students and their community participants. In a third year Kinesiology course “Physiological Assessment and Training”, students at the University of Prince Edward Island are provided with an introduction to health-focused personal training and develop and manage personalized training programs for community volunteers. The purpose of this study was to investigate the impact of student-led training programs on student learning and health-related fitness outcomes for program participants. METHODS: Participants included 43 women and 13 men aged 30-65 years (mean age: 52.3 ± 10.0 years) with stable health. Students led participants through aerobic and musculoskeletal fitness tests before and after completing a 4-week training program based on participants’ fitness and interests. RESULTS: Following the program, participants experienced significant increases in grip strength (67.8 kg vs 71.9 kg), push-ups (12.6 vs 16.9), one-leg stance with eyes closed (9.4 seconds vs 12.2 seconds) and sit-and reach (31.1 cm vs 33.0 cm) (all p < 0.05). There were no changes observed in estimated VO2max (32.8 ml/kg/min vs 33.9 ml/kg/min) or one-leg stance with eyes open (39.8 seconds vs 40.2 seconds) (all p > 0.05). CONCLUSION: These results suggest that even relatively brief student-led personal training programs may provide meaningful benefits to students and their community volunteers.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it