Shifting priorities: U.S. health policy and the fragile future of global HIV/AIDS efforts
Bibliographic record
Abstract
ObjectiveThis narrative review examines the impact of the United States on the war against HIV/AIDS and thus the impact of political ideologies on the financing of the medical sector.DiscussionInitially marked by stigma, particularly in the early years of the epidemic, the US response was transformed with the launch of the Presidential Emergency Plan for AIDS Relief (PEPFAR) in 2003. PEPFAR has partnered with entities such as the Global Fund and the Joint United Nations Programme on HIV/AIDS (UNAIDS), retranslating global health governance. Despite this success, the global response remains dependent on the support of the United States. Political changes under the leadership of the conservatives have limited funding. Therefore, political polarization in the US is undermining long-term progress on HIV/AIDS prevention and treatment, particularly in low- and middle-income countries.ConclusionBy tracing historical developments and analysing current funding trends, the article highlights the urgent need for sustainable and depoliticized investments in global health systems. Without renewed bipartisan commitment and greater local ownership, the vision of eliminating AIDS as a public health threat by 2030 is seriously threatened.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".