Knowledge and Practices About Sexual Health and Its Socioeconomic Correlates Among Adolescent Girls in Sikkim, India
Bibliographic record
Abstract
Adolescents constitute a quarter of total Indian population. Many of them become sexually active despite being informed of the risks which they may encounter. The present study aims to address knowledge and perception on HIV/AIDS, STIs, and safe sex among adolescent girls (15 to 19years) in Sikkim, India. The study also evaluates their attitudes, and practices of sexual activities among their peer groups. The study is based on randomly selected 1031 unmarried adolescent girls residing in Gangtok, the capital town of Sikkim, and also in different blocks of the other three districts. The self-administered questionnaire was completed by participant girls to obtain data on socioeconomic characteristics, knowledge, awareness, and practices about sexual health issues such as HIV/AIDS, STIs, safe sex. Bivariate and multivariate analyses have been used for data analysis. Higher number of urban girls reported sexual activities among their peer group as compared to rural ones. However, unprotected sexual activity was reportedly higher among rural girls (10.26%). Results of multivariate analysis establishes role of media in raising sexual health awareness among girls in the study area. Role of socioeconomic characteristics of adolescents is important in raising awareness, building attitudes, and determining practices pertaining to sexual and reproductive health among them. Health care institutions along with media can raise awareness about sexuality and also can inculcate responsible sexual attitudes and practices among adolescents.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".