Needle Exchange: How the Meanings Ascribed to Needles Impact Exchange Practices and Policies
Bibliographic record
Abstract
The consistency among needle exchange practices, HIV prevention, harm reduction goals, and potential program effectiveness are analyzed. Using a modified ethnographic approach, qualitative interviews were conducted with staff (n = 59) of needle exchange programs (NEPs; n = 15). Interviews addressed operational policies; funding and challenges. An iterative, inductive analytic process was used. Differences in exchange practices are traced to differences in how workers define needles as objects of "risk" and/or "prevention." The weight accorded to each definition has implications for service delivery. Among NEPs that ascribe a "risk" meaning, workers enforce a strict one-for-one exchange, encourage clients to take fewer needles, and penalize clients. Programs that focus on the "prevention" meaning of needles work towards improving access, problem solving about proper disposal and do not penalize clients. Operational policies that restrict access to sterile equipment or discourage attendance need to be reconsidered if HIV prevention goals are to be realized.
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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 | 0.020 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 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".