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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".