Psycho-social Resilience and Risky HIV Behaviors among Black Males who have Sex with Males
Bibliographic record
Abstract
The incidence rate of HIV among Black males having sex with Black males (BMSM) is high compared to that of other racial groups. Researchers have established the association between inappropriate sexual practices, age, income, and environmental determinants and HIV positive status among BMSM. Guided by resilience theory, the purpose of this study was to examine the relationship between HIV risk behavior and resiliency with the goal of identifying a new intervention to mitigate the HIV infection rate in the BMSM community. The theoretical framework used for this study was the resilience theory. This theory is concern with the phenomenon of why some people thrive after period of catastrophic adversity while others do not. A quantitative research design was used to test for a correlation between psychosocial resilience and HIV risk behavior. Fifty seven respondents were included in the study, 28 who were HIV positive, and 29 who were HIV negative. The Risky Behavior Questionnaire and the Resilience Survey were used to collect study data. The main study finding was a significant correlation between resilience and sex-related HIV risk behaviors, including unprotected sex, a lack of awareness of HIV status, multiple male sexual partners, and alcohol and drug use during sex. According to study findings, BMSM with higher resilience might be less likely to engage in sex-related HIV risk behaviors than those with low resilience. Strategies to mitigate HIV transmission could include resilience training. The benefit to the society would be reduced HIV infections transmission due to reduced risky HIV behaviors. The population social change would be the importance of the resiliency practice among BMSM in an effort to dispel the fear about the disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".