Culture and HIV/AIDS in Africa: Promoting Reproductive Health in Light of Spouse-Sharing Practice among the Okun People, Nigeria
Bibliographic record
Abstract
The Okun tribe, numbering about a million persons, accepts sexual relations between men and wives of their male kin. We identified and used features of spouse sharing that affect reproductive health to develop an interactive, community-based intervention. The intervention promoted discussion of spouse sharing as a risk factor in HIV/AIDS transmission, knowledge of AIDS/sexually transmitted diseases (STDs), perception of risk and alternative behaviors to avoid contracting HIV/AIDS. The intervention effects were evaluated using data collected in baseline and follow-up surveys in May 1999 and June 2000 among 1018 sexually active respondents in two sets of Okun communities - one with and the other without intervention. The intervention significantly increased knowledge of HIV/AIDS, perception of risk of contracting the disease and the intention to discontinue spouse sharing in the intervention communities. Those who perceived themselves at risk of contracting HIV/AIDS were more likely to express intention to discontinue spouse sharing (odds ratio 2.87) than those who did not. It was recommended that future community-based interventions to address traditional practices that could transmit HIV/AIDS should address the aspects of the practice that could transmit the disease and actively involve the people to make impact.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".