Making Youth Tobacco Control Programs More Ecological: Organizational and Professional Profiles
Bibliographic record
Abstract
PURPOSE: To identify the organizational and professional correlates of the integration of the ecological approach in Canadian public health organizations' tobacco control programs for youth. DESIGN: Cross-sectional survey. SETTING: Canadian public health organizations. SUBJECTS: One hundred and ten tobacco control programs implemented in 90 organizations. The response rate for the organizations was 87%. MEASURES: Descriptions of programs were obtained by telephone interviews. An analytical procedure was applied to the program data to identify intervention settings, targets and strategies for each program. Using this information, a summary score of the integration of the ecological approach was estimated for each program. Organizational and professional variables were assessed by self-administered questionnaires to managers and professionals involved in these programs. RESULTS: The level of integration of the ecological approach in programs was related to organizational (frequency of contacts and collaborations with external partners, team composition) and extraorganizational factors (size of the city in which the public health unit is located). Cognitive attributes of the practitioners (knowledge and beliefs) also emerged as significant predictors. Finally, positive associations were observed between practitioners' personal characteristics (educational achievement, working status in health promotion [full vs. part-time], previous experience, gender, and disciplinary/professional background) and cognitive predictors. CONCLUSIONS: Organizational environment and staff preparation play a critical role in the adoption of the ecological approach in tobacco control programs.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".