Self-efficacy and unwanted sexual intercourse: ‘Reproductive health education programme for high-school students in Vojvodina’
Bibliographic record
Abstract
Introduction: Studies have shown the importance of self-efficacy in the domain of risky sexual behaviour. The aim of this study was to examine the association of unwanted sexual intercourse among secondary-school students with socio-demographic factors and perceived self-efficacy, and to assess the effectiveness of the programme on reproductive health. Methods: The study involved 5,026 second-grade students in 72 high schools in the Province of Vojvodina, Serbia (APV). They were surveyed before and after the implementation of the extracurricular 'Reproductive health education programme for secondary-school students in APV'. A questionnaire consisting of 57 questions (socio-demographic characteristics, knowledge, attitudes, and behaviour of students regarding reproductive health, and a general self-efficacy scale) was used as the research instrument. Results: One quarter of students had engaged in unwanted sexual intercourse on one or more occasions. Students with poor material status were twice as likely to engage in unwanted sexual intercourse (ОR=2.01; 95%CI=1.07-3.75) as students with average or good material status. Students who did not engage in unwanted sexual intercourse had a higher self-efficacy score than students who who did (t=2.903; p<0.01). After the programme was completed, there was an increase in general self-efficacy. Conclusion: Poor material status is a predictor of unwanted sexual intercourse. Students who have a higher level of self-efficacy engaged to a lesser degree in unwanted sexual intercourse. The programme is effective in terms of increasing general self-efficacy, and can be applied to encourage responsible sexual behaviour.
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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 | 0.001 |
| 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) | 0.002 | 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".