The Impact of Smokers' Group‐Membership and Activist Gender on Tolerance for Smoking, Receptiveness and Perceived Susceptibility to Anti‐Smoking Messages, and Likelihood of Anti‐Smoking Activism
Bibliographic record
Abstract
Using two experiments we demonstrate that people have lower tolerance for smoking and higher anti‐smoking activism likelihood when in‐group versus out‐group members smoke. The likelihood of anti‐smoking activism toward in‐group smokers was greater for men than women. Moreover, as social distance declined, men showed greater anti‐smoking message receptiveness, message susceptibility and activism likelihood, whereas, women displayed no significant differences in tolerance for smoking, message receptiveness, message susceptibility, and activism likelihood. Open‐ended responses indicated generally negative cognitive reactions to smokers, yet a broad unwillingness to confront them. While feelings of personal relevance and caring facilitated anti‐smoking activism intentions, beliefs in the freedom of personal choice and polite interpersonal interactions hindered these intentions.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".