Perceptions of a drug prevention public service announcement campaign among street-involved youth in Vancouver, Canada: a qualitative study
Bibliographic record
Abstract
BACKGROUND: Due to the popularity of public service announcements (PSAs), as well as the broader health and social harms associated with illicit drug use, this study sought to investigate how drug prevention messages found in the Government of Canada's DrugsNot4Me campaign were understood, experienced, and engaged with among a group of street-involved young people in Vancouver, Canada. METHODS: Qualitative interviews were conducted with 25 individuals enrolled in the At-Risk Youth Study, and a thematic analysis was conducted. RESULTS: Findings indicate that the campaign's messages neither resonated with "at-risk youth", nor provided information or resources for support. In some cases, the messaging exacerbated the social suffering experienced by these individuals. CONCLUSIONS: This study underscores the importance of rigorous evaluation of PSAs and the need to consider diverting funds allocated to drug prevention campaigns to social services that can meaningfully address the structural drivers of drug-related harms among vulnerable youth populations.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".