Evaluation of an HIV-Related Workshop for Adolescents at a Secondary School in Germany
Bibliographic record
Abstract
This study set out to establish to what extent an HIV-related awareness workshop involving German adolescents at a secondary school in Brandenburg can help to increase knowledge levels about this disease. Only a few studies have explored what German youths know about HIV, with none so far evaluating a workshop aimed at increasing HIV-related knowledge levels among this cohort. In a pre-test post-test design, changes in participants’ knowledge levels related to the risk of HIV transmission associated with different types of exposures or behaviors such as unprotected sex, mother-to-child-transmission, blood transfusions, and shaking hands were assessed. Previous studies have shown that German youths lack knowledge in this regard. From pre-test to post-test, there was a statistically significant increase in knowledge levels about the risk of HIV transmission. However, knowledge levels about the risk of HIV transmission was relatively low. An average of 59.2% questions were answered correctly at pre-test vs. 68.1% of questions at post-test. The present study underlines that an awareness workshop can be a useful tool to improve knowledge levels about the risk of HIV transmission among youths. However, the results also revealed that there is still some work to be done to educate young Germans about the basic facts around HIV/AIDS. Although HIV incidence rate in Germany has been slightly decreasing, there is a growing number of new infections among people who are unaware of their HIV status – while research shows that youths in this country are seemingly complacent about the danger of HIV/AIDS, and often do not use condoms during sex.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".