Too little to late: responses to the HIV/AIDS epidemics in sub-Saharan Africa
Bibliographic record
Abstract
The latest UNAIDS report (2006) on the global AIDS pandemic states that while there has been progress in tackling AIDS, the epidemic continues to outpace responses. Almost a quarter of a century after the disease was first identified, AIDS remains an exceptional threat. Recent data estimate that in 2006 there were 39.5 million people living with HIV globally. In the same period 4.3 million people were newly infected with HIV while 2.9 million people died of AIDS (UNAIDS, 2006, p.1). Over the last two years the number of people living with HIV has increased in every global region. HIV/AIDS is now acknowledged as 'one of the most destructive epidemics in recorded history' (UNAIDS, 2005, p.2). This article explores the responses to the epidemic in sub-Saharan Africa and discusses future challenges in the fight against this disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".