Global Health Professions Student Survey (GHPSS) in Tobacco Control in China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To examine the prevalence of smoking, second-hand smoke exposure, and attitudes toward tobacco control and cessation training among university students in China. METHODS: We administered the Global Health Professions Student Survey (GHPSS) to students from 50 universities offering medical/ health professional (MHP) programs and received 11,954 responses. Non-MHP students, MHP students, and third-year MHP students comprised the sample. Descriptive statistics were calculated for weighted prevalence and 95% confidence intervals. Key factors of interest and attitudes toward medical smoking cessation were examined using logistic regression. RESULTS: Smoking and exposure to second-hand smoke was higher among non-MHP (15.9%, 31.9%) than MHP (7.0%, 21.2%) students. For third-year MHP students, the rates were 6.9% and 19.7%, respectively. Students held positive attitudes toward smoking bans in public places and cessation services. However, few received formal training in smoking cessation, and 37.0% agreed that light cigarettes are less harmful to health. Positive attitudes toward cessation services were related to several factors. CONCLUSIONS: This study is the first comprehensive survey of students in China providing direction for building capacity in tobacco control and smoking cessation among students in health professional programs.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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