Smoking zones versus smoke-free zones on Canadian post-secondary campuses: Which zone is more effective, adhered to and preferred?
Bibliographic record
Abstract
INTRODUCTION: This study aims to determine if smokers at post-secondary campuses are more likely to adhere to smoke-free zones (areas where smoking is not permitted) or smoking zones (areas where smoking is permitted) based on preference and effectiveness. METHODS: A self-reported survey was developed and administered at two postsecondary institutions; Western University (smoke-free zones) and Fanshawe College (smoking zones). Smokers were asked how often they use these zones, which zone is preferred and which zone they think is more effective. A chi-squared analysis was performed to determine if there were differences in the frequency of responses. RESULTS: A total of 239 surveys were collected, 119 from Western and 120 from Fanshawe. Of these, 87% of respondents at Fanshawe were aware of where they could smoke on campus, and 67% reported that they mostly or always used these spaces. At Western, significantly fewer respondents knew where to smoke (57%), and only 30% reported mostly or always using appropriate zones (p<0.05). More participants at Fanshawe indicated that they had been told by someone in authority where they could smoke (36%) compared to Western (19%, p<0.05). At Fanshawe, 63% of respondents stated that smoking zones mostly or always effectively indicated where it was appropriate to smoke on campus compared to only 18% at Western (p<0.05). Both groups indicated they preferred the zone they currently had. Finally, more participants from Fanshawe intend to quit smoking within 6 months (61% from Fanshawe vs 49% from Western, p<0.05). CONCLUSIONS: Smoking zones on post-secondary campuses may be more effective and adhered to by smokers than smoke-free zones.
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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 | 0.001 | 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".