Stigma and HIV risk among<i>Metis</i>in Nepal
Bibliographic record
Abstract
Similar to other parts of Asia, the HIV epidemic in Nepal is concentrated among a small number of groups, including transgender people, or Metis. This study was conducted to explore the social context of stigma among Metis in Nepal to better understand their risk for HIV. Fourteen in-depth interviews were conducted with Metis in Kathmandu, Nepal. We found that stigma from families leading to rural-urban migration exposed Metis to discrimination from law enforcement, employers and sexual partners, which influenced their risk for HIV. Specific HIV-related risks identified were rape by law enforcement officers, inconsistent condom use and high reported numbers of sexual partners. These data point to an immediate need to work with law enforcement to reduce violence targeting Metis. HIV prevention, housing and employment outreach to Metis in rural areas and those who migrate to urban areas is also needed. Finally, there is a need for more research to determine the prevalence of HIV among Metis, to explore risk within sexual networks and to better understand of the relationship between Metis and their families in order to develop future programmes and interventions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".