Sexual risk taking in adolescence: examining negative gender beliefs
Bibliographic record
Abstract
Sexual risk taking behaviour carries a number of aversive outcomes including HIV infection, STIs and unplanned pregnancies. Past research has shown adolescents in particular are at a high risk for these negative consequences. This study examines how negative gender beliefs operate to predict sexual risk taking in later adolescence. Participants were 164 adolescents that completed 2 questionnaires over 2 years. Past research has suggested sexual risk taking behaviour is determined by multiple systems of influence. Therefore, additional demographic and contextual variables were included in data analysis. Results suggest that the single best predictor of future sexual risk taking is past sexual risk taking F (10, 170) = .54, p < .001. Additionally, high levels of drug use, F (10, 170) = .25, p < .001 and low acceptance of interpersonal violence, F (10, 170) = -.19, p < .05 were found to predict sexual risk taking in later adolescence. The findings have significant implications on intervention and prevention methods aimed at adolescent sexual health.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".