Determination of risky sexual behaviors and associated factors of Turkish young women
Bibliographic record
Abstract
Risky sexual behaviors of young women cause significant reproductive health problems. Therefore, it is vital to evaluate the sexual attitude and behavior characteristics of young women, their changes over the years, and the effects of information sources such as family, media, and friends, which play an effective role in bringing about changes in sexual behavior of young women. This study was planned to evaluate young women’s premarital sexual behaviors and related factors in Turkiye between 01.11.2021 and 01.05.2022. It is designed as a descriptive correlation study conducted with 1.430 young women studying at universities in 30 metropolitan cities in Turkiye. The study data were collected using the “Participant Information Form” and the “Premarital Risky Sexual Behavior Assessment Scale for Young Women.” This study showed that parents’ educational status and geographical region was related to the young women’s mean score and the subdimension score of the Premarital Sexual Behavior Assessment Scale for Young Women (PSAS-YW) (p < .001). Furthermore, young women’s top source of information about sexuality was internet media (80 percent, n = 1144), and the least source was their fathers (2.9 percent, n = 41). There is a relationship between where young women spend most of their lives, the geographical region where their families live, and the risk of sexual behavior. The study observed that the geographical region where young women’s parents live was effective in risky sexual behavior. While less risky sexual behavior was observed, primarily in the country’s east, this rate increased in the western parts. Furthermore, while it was determined that young people mainly acquire sexual information through the media-internet or friends, it was observed that the participants in this group had the highest rate of risky sexual behavior. The age variable explained only 2 percent of the change in risky sexual behavior, and there was a linear increase between the mother’s education level and the risky sexual behavior score of young women.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".