Bibliographic record
Abstract
Longitudinal studies and household surveys suggest that sub-Saharan Africa's (SSA's) HIV/AIDS crisis is not a pandemic of the poor but rather one of inequalities, where wealthier individuals are more likely to be infected as a result of greater mobility and multiple relationships (Fox, 2012). This is in sharp contrast to the situation in the United States, where HIV infections "are concentrated among the poor with very few people in the middle and upper social strata contracting HIV" (Pellowski, Kalichman, Matthews, & Adler, May-June 2013, p. 199). Yet from a global perspective, wherein SSA is the poorest region in the world, the pandemic is of course one of poverty as well as one with pronounced racial and gender disparities. Both the May-June 2013 special issue of the American Psychologist ("HIV/AIDS: Social Determinants and Health Disparities") and another American Psychologist special issue 25 years earlier ("Psychology and AIDS," November 1988) help shed light on Africa's HIV/AIDS crisis.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.020 | 0.015 |
| Insufficient payload (model declined to judge) | 0.013 | 0.006 |
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".