Psychosocial factors explaining drug users’ intention to use a new syringe at each injection
Bibliographic record
Abstract
Beyond the risk of HIV and HVC transmission associated with needle sharing, re-using one's own syringe constitutes an additional risk for injection drug users (IDUs). This practice can lead to serious infections such as cellulitis and endocarditis. In order better to target interventions promoting the adoption of this behaviour, this study attempts to identify factors associated with IDUs’ intention always to use a new syringe. The Theory of Planned Behaviour was applied in the development of the questionnaire administered to 117 IDUs during an interview. Over a period of 1 week, 35.7% of respondents failed to consistently use new syringes and only 39% of the entire sample indicated a firm intention to adopt this behaviour. A regression analysis demonstrated that perceived behavioural control and attitude predicted intention. Results indicate that interventions should serve primarily to help IDUs recognize the advantages of adopting this behaviour and develop skills to overcome certain obstacles.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".