Factors Influencing Attitudes Towards Safer Supply Programs for People Who Use Drugs: Findings From an Atlantic Canadian Province
Bibliographic record
Abstract
Safer supply programs (SSPs) are harm reduction services where people who use drugs can access regulated pharmaceutical drugs (e.g., hydromorphone). Public attitudes, and factors that influence attitudes towards SSPs must be considered as they impact policy and funding decisions. A total of 384 participants were recruited from the community ( n = 160, 41.7%) and an Atlantic Canadian University ( n = 224, 58.3%) to complete an online survey. The majority of the sample was supportive of SSPs ( n = 316, 82.3%). Being of European origin, a younger age, identifying as female, displaying higher levels of Openness to Experience, and reporting less stigma towards people who use drugs were predictive of more positive attitudes towards SSPs. Openness to Experience mediated the relationship between stigma levels and attitudes towards SSPs. The findings of the current study suggest that when developing public awareness campaigns, considering the impact of demographic and psychological factors is important.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".