Exploring Determinants of Unprotected Sexual Behaviours Favouring HIV Transmission among Men who Have Sex with Men in Yogyakarta, Indonesia
Bibliographic record
Abstract
A qualitative inquiry using individual interviews explored determinants of unprotected sexual behaviours favouring HIV transmission among Men who Have sex with Men (MSM) in Yogyakarta, Indonesia. The study was conducted in July 2015 with 24 MSM participants recruited using convenience sampling technique. Data were analysed using a qualitative data analysis framework, with the Social Cognitive Theory (SCT) employed as the study conceptual framework. Findings were grouped into a reciprocal triadic relationship involving behavioural, personal (cognitive) and environmental determinants. Behavioural determinants comprised having multiple casual sex partners, engagement in group sex and transactional sex practices. Environmental factors associated with unprotected sexual behaviours included influence of unsafe sex from regular partners and lack of access to HIV-related services. Personal (cognitive) determinants favouring unprotected sexual behaviours identified were lack of knowledge of condom and HIV/AIDS, individuals’ expectation of pleasurable sexual intercourse, and low self-efficacy to discuss condom use and HIV status with casual sex partners. As effort to address HIV in MSM in Indonesia is still at its infancy, the findings of the current study are insightful and will inform the development of evidence-based programs in addressing HIV/AIDS problem in MSM populations in Yogyakarta and other similar 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 | 0.001 | 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) | 0.001 | 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 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".