Knowledge of Teachers on Cultural Practices that Influence HIV/AIDS Transmission in Kavango West, Namibia
Bibliographic record
Abstract
BACKGROUND: In the world there are still ethnic groups that promotes cultural practices that may predispose people to HIV/AIDS transmission and hence increase HIV prevalence rate. Namibia is one of the countries that are badly affected by HIV/AIDS in the world, with Kavango West the worst-affected region in Namibia with the prevalence rate of 12.1%. This is the region where ethnic group known as Ukwangari is located. In Namibia, there are policies, guidelines, and programmes in place to manage the HIV/AIDS epidemic, however, the cultural practices regarding the transmission of HIV/AIDS are not well discussed, hence excluded when addressing prevention of HIV. AIM: Is to explore depth knowledge of basic education school teachers on cultural practices that influence HIV/AIDS transmission in Ukwangari culture in Nankudu district, Kavango West region, Namibia. METHODS: Qualitative, explorative contextual study was conducted to in which non-probability purposive sampling method was employed. Participants, who knew Ukwangari culture, were purposively selected and focus group discussion was conducted until data were saturated. Data were analysed using Tesch’s open coding system, where themes and sub themes that emerged from the discussion were identified. RESULTS: The findings indicate that basic education school teachers had fair knowledge about HIV/AIDS, while a few teachers had misinformation on culture and transmission of HIV/AIDS. CONCLUSION: There is a need to sensitise and educate basic education school teachers in Ukwangari community about their cultural practices that influence HIV/AIDS transmission. This will be possible by collaborating with various ministries and stakeholders.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".