Benchmarking the health of health sciences students at Kuwait University: a towards a cultue of health
Bibliographic record
Abstract
Health professional entry-to-practice programmes are intense, competitive and prolonged. The aims of this study were to benchmark the health of health sciences students at Kuwait University, thereby informing student health services, and to establish a base for individual student's health assessments throughout the programmes. We used a convenience sample of 176 students. Assessment included a health/wellness questionnaire (smoking, nutrition, physical activity, sleep and stress) and objective measures (resting heart rate, blood pressure, waist-to-hip ratio and random blood glucose). Students had suboptimal activity, diet, stress and sleep. Health was suboptimal based on significant proportions of students in unhealthy categories for resting heart rate, blood pressure and body composition. Health status of health sciences students at Kuwait University is not consistent with healthy health professionals in training, who should serve as role models for the public. A culture of health on campus is recommended to maximize the health of students and their capacity as health role models.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".