Effect of anti-smoking legislation on school staff smoking may dissipate over time
Bibliographic record
Abstract
This study describes student perceptions of school staff smoking before and after implementation of legislation prohibiting smoking on school grounds. Students completed self-report questionnaires before (grade 6) and after (grade 7, 9 and 11) the law. The percentage of students reporting that school staff smoked in areas where smoking is forbidden was 19%, 32% and 33% in grade 7, 9 and 11, respectively. The mean(SD) score for the frequency with which students saw school staff smoking decreased after the ban but increased thereafter [2.5(1.1), 1.9(1.0), 2.4(1.1) and 2.3(1.1)] in grade 6, 7, 9 and 11, respectively [F(2.861,1662.229) = 45.350, P < 0.001]. These data suggest that the effect of the law dissipated over time.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".