HIV/AIDS risk and worry in Northern Kenya
Bibliographic record
Abstract
Data from a 2003 survey of sexual behaviour (n = 400) conducted in the Ariaal community of Karare, Marsabit District, northern Kenya, were used to delineate patterns of risk and worry about contracting HIV/AIDS. Despite widespread reporting of high-risk sexual behaviours (including multiple partners, concurrency, sexual mixing and not using condoms) by survey participants, logistic regression analysis found only one statistically significant positive association between these behaviours and self-assessment of being at high risk of contracting HIV/AIDS. In contrast, log-linear analysis of worry patterns found highly significant relationships between self-assessment of high risk of HIV/AIDS and worry about one's partner's sexual behaviour. These findings indicate that in relation to contracting HIV/AIDS currently Ariaal are more concerned about the sexual behaviour of others, rather than their own behaviour. More generally, results point to the potential for combining concepts of worry with risk assessment in HIV/AIDS research to generate insights into how both concepts are linked to individual, dyadic and population-level factors within specific cultural 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".