Gender and the smoking behaviour of Ethiopian immigrants in Toronto
Bibliographic record
Abstract
The objective of this paper is to present descriptive data on gender and smoking among Ethiopian immigrants in Toronto, Canada. The study used a cross-sectional epidemiological survey design (N = 342). The main outcome measures identified subjects as current (regular or occasional) smokers, daily smokers and former smokers. Overall, 20.8% of the individuals in the sample were current smokers and 15.7% were daily smokers. Although smoking rates (current and daily) were significantly higher among males compared to females, nearly twice as many female as male daily smokers reported that they began smoking post-migration (60.0% vs. 30.2%). Furthermore, 80.0% of female compared to nearly 56% of male daily smokers reported that they were smoking more post-migration. A significantly higher proportion of males compared to females were former daily smokers (17.8% vs. 4.4%). These findings present a challenge for public health professionals in terms of preventing the adoption of smoking among Ethiopian females and facilitating smoking cessation among Ethiopian males. Correlates with current smoking suggested that smoking prevention and cessation programs in newcomer immigrant communities may benefit from incorporating social, economic and religious contexts of these newcomers' lives from a gender-specific perspective.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".