Factors Influencing Students' Attitude towards HIV/AIDS in a Public University, Malaysia
Bibliographic record
Abstract
Acquired Immunodeficiency Syndrome has remained one of the priority global public health challenges. Theaim of this cross-sectional study was to determine the attitudes related to HIV/AIDS among students in a publicuniversity in Malaysia. The students were selected based on a two-stage probability proportionate to size randomsampling method. Data was analyzed using SPSS version 17. Out of the 1773 respondents, 57.3 % were femaleand the mean age was 22.5 years. The results showed that only 19.5 % stated that they will inform their partnersor family if diagnosed positive for HIV infection and 43 % were willing to care for an HIV infected person intheir own house. The overall mean attitude score was 24.1. Knowledge was significantly associated with theattitude towards HIV/AIDS among students. However, age, educational level, marital status, place of residencewas not associated with the attitude towards HIV/AIDS among students.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".