RESIDENTS’ ATTITUDES TOWARD THOSE WHO MISUSE DRUGS ON THREE ATTITUDINAL SCALES
Bibliographic record
Abstract
ABSTRACT Objective: to examine patterns in attitudes toward drug users among residents in a community of Kingston, Jamaica. Method: cross-sectional study; sample size was 121 residents. Results: alcohol and marijuana showed a strong positive relationship on the personal contact attitudinal scale with r (119)=.53, p<.01. Respondents’ attitudes on the judgement scale for crack and cocaine were the strongest among all the drugs with r (119)=.84, p<.01, reflective of a very strong positive relationship. Equally important too, respondents’ attitudes on the social support scale toward those who misuse crack and cocaine were very strongly correlated with r (119)=.88, p<.01. Residents displayed positive attitudes toward those who misuse alcohol and marijuana. Conclusion: the majority of respondents were ambivalent toward those who misuse cocaine and crack. Negative attitudes were highest among residents toward those who misuse cocaine. This study found that the differences in mean between males and females attitudes on the personal contact scale for alcohol and marijuana were statistically significant at 0.05 level. Our findings may be used to inform further research and ultimately lead to policy interventions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".