Europe's Shifting Response to HIV/AIDS: From Human Rights to Risk Management.
Bibliographic record
Abstract
Despite a history of championing HIV/AIDS as a human rights issue, and a rhetorical commitment to health as a human right, European states and institutions have shifted from a rights-based response to a risk management approach to HIV/AIDS since the economic recession of 2008. An interdisciplinary perspective is applied to analyze health policy changes at the national, regional, and global levels by drawing on data from key informant interviews, and institutional and civil society documents. It is demonstrated that, in the context of austerity measures, member states such as the UK and Greece reduced commitments to rights associated with HIV/AIDS; at the regional level, the EU failed to develop rights-based approaches to address the vulnerabilities and health care needs of key populations affected by HIV/AIDS, particularly migrants and sex workers; and at the global level, the EU backtracked on commitments to global health and is prioritizing the intellectual property rights of pharmaceutical companies over the human rights of people living with HIV/AIDS. The focus within and from the EU is on containment, efficiency, and cost reduction. The rights of those most affected are no longer prioritized.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".