Is cleanliness next to abstinence? The effect of cleanliness priming on attitudes towards harm reduction strategies for people with substance use disorders
Bibliographic record
Abstract
Can exposure to a cleanliness prime affect moral judgements towards harm reduction strategies (HRS) for individuals with substance use disorders? Our research examined (a) the effect of a cleanliness prime on attitudes towards HRS and (b) whether this effect would be attenuated by a brief educational presentation. Participants were randomly assigned to a priming condition and an educational presentation condition. Results demonstrated that (a) the cleanliness prime did not shift attitudes towards HRS, however, (b) the educational presentations significantly shifted attitudes to be more positive after the Harm Reduction presentation and more negative after the Healthy Living presentation. The literature on priming is mixed and our results support a growing body of research challenging the robustness of cleanliness priming and also demonstrates that brief presentations can change attitudes. Our research has implications for education on the benefits of HRS in reducing disease transmission, refuse in the community, and overdose deaths.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.008 | 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".