SEXUAL BEHAVIOR DETERMINANT FACTOR IN ADOLESCENTS IN KEBAYORAN LAMA SELATAN VILLAGE IN 2020
Bibliographic record
Abstract
Future threats are posed by the high prevalence of risky sexual behavior in adolescents. The purpose of this study is to examine the factors influencing sexual behavior among adolescents in Kelurahan Kebayoran Lama Selatan in 2020. The research study design used a cross-sectional with a total sample of 194 respondents. The sampling technique was snowball sampling and the analysis used was descriptive. It shows that half of all adolescents have risky behavior, namely 165 people (85.1%), but a quarter of them have non-risk behavior (14.9%). The distribution of majority of respondents has peer influence 25.3%, more information sources in watching pornography on friends 43.3%, internet mass media that is often seen 36.6%, the frequency of pornography in the category is sometimes 39.7%, partner pornography when alone 24.2% and their lover/girlfriend 17.5%, the reasons for watching pornography were 28.4% of curiosity and 16.0% of sexual desire, and the role of good parents in educating children 95.4%. Sexual behavior in adolescents in Kebayoran Lama Selatan Village shows that there are still many teenagers who engage in risky sexual behavior. This research is expected to facilitate the needs of adolescents so that they can channel their energy and make good use of their free time.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".