Smoke-Free Men: Competing and Connecting to Quit
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
PURPOSE: The purpose of this study was to explore gender-related factors that motivate and support men's smoking reduction and cessation to inform effective men-centered interventions. Approach or Design: Focus group design using a semi-structured interview guide. SETTING: Three communities in British Columbia, Canada. PARTICIPANTS: A total of 56 men who currently smoked and were interested in reducing or quitting or had quit. INTERVENTION: N/A. METHODS: Data collected in 6 focus group discussions were transcribed and analyzed in accord with principles of thematic qualitative methods. RESULTS: We report the results across 4 interconnected themes: (1) the fight to quit takes several rounds, (2) the motivation of supportive competition, (3) challenges and benefits of connecting with smoke-free peers, and (4) playing up the physical and financial gains. CONCLUSIONS: Masculine-based perspectives positioned quitting alongside fighting for self-control, competing, connecting, physical prowess, and having extra cash as motivating components of programs to engage men in efforts to be smoke-free. It may be worthwhile to consider the inclusion of gain-framed and benefit-focused messaging in programs that support men's tobacco cessation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.000 | 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