Condoms Become the Norm in the Sexual Culture of College Students in Durban, South Africa
Bibliographic record
Abstract
The aim of this study was to examine the factors contributing to the increase in condom use among college students in Durban, KwaZulu-Natal, South Africa, and some of the barriers to consistent condom use. The data were drawn from six focus group discussions with male and female students aged 18-24 in three public tertiary education institutions, supplemented by a survey of 3,000 students aged 17-24. Condoms had become ''part of sex'' and highly acceptable to the great majority, and were easily accessible. They were primarily being used for preventing pregnancy; many students liked not having to go to a health facility for supplies. Less than half of male and only a third of female students thought male partners had greater influence over the decision whether a condom was used. If a woman requested condoms, men and women agreed the man must comply. Some men were suspicious of women who agreed to have unprotected sex. Almost 75% of sexually active students surveyed reported condom use at last sexual intercourse, but consistent condom use, reported by only a quarter, remains the main challenge. It may be more effective to promote condoms for contraception among sexually active young people than for HIV prevention. Condoms have become the most commonly used contraceptive method among students, and this trend should be reinforced.
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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 | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".