Employing human rights frameworks to realize access to an HIV cure
Bibliographic record
Abstract
INTRODUCTION: The scale of the HIV pandemic - and the stigma, discrimination and violence that surrounded its sudden emergence - catalyzed a public health response that expanded human rights in principle and practice. In the absence of effective treatment, human rights activists initially sought to protect individuals at high risk of HIV infection. With advances in antiretroviral therapy, activists expanded their efforts under international law, advocating under the human right to health for individual access to treatment. DISCUSSION: As a clinical cure comes within reach, human rights obligations will continue to play a key role in political and programmatic decision-making. Building upon the evolving development and implementation of the human right to health in the global response to HIV, we outline a human rights research agenda to prepare for HIV cure access, investigating the role of human rights law in framing 1) resource allocation, 2) international obligations, 3) intellectual property and 4) freedom from coercion. CONCLUSIONS: The right to health is widely recognized as central to governmental, intergovernmental and non-governmental responses to the pandemic and critical both to addressing vulnerability to infection and to ensuring universal access to HIV prevention, treatment, care and support. While the advent of an HIV cure will raise new obligations for policymakers in implementing the right to health, the resolution of past debates surrounding HIV prevention and treatment may inform claims for universal access.
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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 | 0.030 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.090 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.011 | 0.010 |
| 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".