“Boys Remain Prestigious, Girls Become Prostitutes”: Socio-Cultural Context of Relationships and Sex among Young People in Nepal
Bibliographic record
Abstract
One of the key characteristics of many developing countries compared to more developed countries is that theirpopulation is relatively young, and a proportion of those young people are becoming sexually active each year.The last two decades has seen a growing concern worldwide of the spread of HIV/AIDS, but, of course, youngpeople face a range of socio-economic, cultural, psychological and sexual health-related problems at that time oftheir life. Very little research has been conducted in this area into Nepalese young people’s problems. Ourqualitative study explores key problems faced by Nepalese youths with particular emphasis on sexual andreproductive health issues. The findings of ten focus group discussions with a total of 75 participants and 31in-depth individual interviews indicated that many young people of Nepal face a range socio-economic,psychological, sexual and reproductive health-related problems. Unemployment, less opportunity for sex andentertainment, stress, curiosity, communication gap and poor sex education and sexual health services werefrequently reported problems. In addition there was a gender difference around sex with young women (girls)having fewer opportunities and less freedom than young men (boys). In order improve young people’s sexualhealth, more attention needs to be given to rigorous research and the design and implementation of appropriateinterventions. Young people’s ability to make informed choices about their own health and risk behaviour shouldbe enhanced.
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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 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".