Bibliographic record
Abstract
Multiple issues need to be addressed in order to control the HIV pandemic in sub-Saharan Africa. Combination antiretroviral therapy (cART) is key to reducing morbidity and mortality among people living with HIV and has a role in preventing HIV transmission. However, access to cART is very unevenly distributed globally, especially in sub-Saharan Africa. Although cost of cART is no longer a major barrier as effective treatment can be had for under US$100 per year, HIV management is compromised by the inadequate number of trained clinicians, the lack of clinical and laboratory infrastructure and the increased prevalence of co-morbidities (e.g., tuberculosis). To address this disparity, a number of initiatives have been undertaken. One of these was the development of the Infectious Diseases Institute (IDI) at Makerere University, Kampala, Uganda. The goals of the IDI are the clinical care of people living with HIV, clinical research relevant to Uganda (in particular) and sub-Saharan Africa, and clinical training. My initial participation was as a trainer in a program to educate large numbers of clinicians in antiretroviral therapy and other aspects of HIV/AIDS management, with the intention that they become leaders of large clinical programs in their home communities. Major progress has been made in providing access to cART, and HIV/AIDS mortality and incidence of new cases is decreasing. Nevertheless, to reach the World Health Organization 90-90-90 targets by 2020, there remains a need to expand services and develop novel approaches to HIV management. In addition to providing hands-on clinical care, Canadian health care providers can help by transferring clinical skills to local clinicians or by developing streamlined clinical paradigms or new technologies for long-term HIV management in resource-limited settings.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".