Vertical HIV transmission should be excluded from criminal prosecution
Bibliographic record
Abstract
Prevention of mother-to-child transmission of HIV (PMTCT) is an important part of global and national responses to HIV and AIDS. In recent years, many countries have adopted laws to criminalise HIV transmission and exposure. Many of these laws are broadly written and have provisions that enable criminal prosecution of vertical transmission in some circumstances. Even if prosecutions have not yet materialised, the use of these laws against HIV-positive pregnant women could compound the stigma already faced by them and have a chilling effect on women's utilisation of prevention of mother-to-child transmission programmes. Although criminal laws targeting HIV transmission have often been proposed and adopted with the intent of protecting women, such laws may disadvantage women instead. Criminal laws on HIV transmission and exposure should be reviewed and revised to ensure that vertical transmission is explicitly excluded as an object of criminal prosecution. Scaling up PMTCT services and ensuring that they are affordable, accessible, welcoming and of good quality is the most effective strategy for reducing vertical transmission of HIV and should be the primary strategy in all countries.
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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 | 0.018 | 0.076 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.015 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".