Making Harm Reduction Work for Women: The Ukrainian Experience
Bibliographic record
Abstract
Ukraine‘s adult HIV prevalence is the highest of any country in Europe or Central Asia. According to the United Nations Development Programme, women now account for 48 percent of all HIV cases among adults in the country. Regional analysis suggests that this increase is largely attributable, either directly or indirectly, to injection drug use. UNAIDS estimates that 35 percent of women living with HIV in Eastern Europe and Central Asia acquired the virus through injection drug use, and a further 50 percent were infected through unsafe sex with partners who inject drugs. Ukrainian programs have made great strides in responding to the HIV epidemic among injection drug users by introducing syringe exchange programs, methadone and buprenorphine treatment, anti-AIDS treatment, and programs to prevent mother-to-child transmission of HIV. Yet, these programs have rarely succeeded in fully accounting for the needs of women drug users. In response to the existing gap in harm reduction services for women who use drugs, the Open Society International Harm Reduction Development Program, with the support of the Canadian International Development Agency, gave grants to six Ukrainian harm reduction organizations to implement gender-responsive services. Rather than developing new, separate programs for women, the grants were designed to build on the existing work of the organizations. This report documents the experiences of the six programs, and offers recommendations for developing an effective system of care for women who use drugs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".