Correlates of misperceptions in HIV knowledge and attitude towards People Living With HIV/AIDS (PLWHAs) among in-school and out-
Bibliographic record
Abstract
of-school adolescents in Ghana. Background: A quarter century into the HIV pandemic, knowledge about sexual transmission and sharing of needles remain high just as misperceptions relating to casual contact. Objectives: To assess HIV knowledge, misperceptions, and attitude towards people living with HIV/AIDS (PLWHAs) among adolescents. Methods: A cross sectional quantitative and qualitative study was conducted among adolescents aged 10-19 (n = 483; mean age, 16.6) in the Ashanti region of Ghana. Results: Knowledge score ranged 0 to 38 (mean = 26.64; sd ± 6.74). To prevent AIDS, 78.1 % mentioned sexual abstinence, condom use (72.7%), fidelity to partner (72.5%), not sharing needles (76.4%), and reducing sexual partners (56.7%). Statistically significant associations were found in high misperception scores and having negative attitude towards PLWHAs (0.001 < p < 0.009). Out-of-school adolescents were less likely to be willing to take care of HIV/AIDS relatives (p = 0.004); allow PLWHAs conceal their status (p < 0.001); allow PLWHAs to work with others (p = 0.007); more likely to let PLWHAs have less healthcare (p = 0.026); and indicate that PLWHAs should be isolated (p < 0.001). Conclusion: Out-of-school adolescents constitute hard-to-reach population and mechanisms should be developed to reach them to reduce misperceptions which may fuel stigma and discrimination. African Health Sciences 2009: 9(2):82-91
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".