Susceptibility to Smoking Among White and Chinese Nonsmoking Adolescents in Canada
Bibliographic record
Abstract
OBJECTIVE: To document the prevalence of susceptibility to smoking among a sample of White/Caucasian and Chinese Canadian adolescent nonsmokers, and to explore the factors that might explain who is susceptible to smoking. DESIGN: This study used a secondary analysis of data from students participating in the British Columbia Youth Survey on Smoking and Health in 2001/2002. SAMPLE: The sample included 1,870 10th and 11th graders who were nonsmokers with either a White or a Chinese ethnic background. MEASUREMENTS: Questionnaire data consisted of demographic and social factors, previous smoking experience, and susceptibility to smoking. RESULTS: Among the total sample, 27.7% were susceptible to smoking. Multivariate logistic regression analysis revealed that 11th graders were less susceptible than 10th graders (odds ratio [OR]=0.80, 95% confidence interval [CI] 0.64-0.99), and girls were more susceptible than boys (OR=1.32, 95% CI 1.05-1.65). Ethnicity did not help to explain susceptibility to smoking in this study. CONCLUSIONS: The findings indicated the effects of gender and grade on predicting susceptibility to smoking. Even though the Chinese Canadian adolescents had the same risk of susceptibility to smoking as White/Caucasians, the factors that put them at risk may be different, which suggests the need to further examine the ethnic-specific predictors of susceptibility to smoking.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".