The Meanings of Smoking to Women and Their Implications for Cessation
Bibliographic record
Abstract
Smoking cigarettes is a gendered activity with sex- and gender-specific uptake trends and cessation patterns. While global male smoking rates have peaked, female rates are set to escalate in the 21st century, especially in low and middle income countries. Hence, smoking cessation for women will be an ongoing issue and requires refreshed attention. Public health and health promotion messages are being challenged to be increasingly tailored, taking gender into account. Women-centred approaches that include harm-reduction, motivational interviewing and trauma-informed elements are the new frontiers in interventions to encourage smoking cessation for women. Such approaches are linked to the meanings of smoking to women, the adaptive function of, and the overall role of smoking cigarettes in the context of women's lives. These approaches respect gender and sex-related factors that affect smoking and smoking cessation and respond to these issues, not by reinforcing destructive or negative gender norms, but with insight. This article discusses a women-centred approach to smoking cessation that could underpin initiatives in clinical, community or public health settings and could inform campaigns and messaging.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.029 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".