Sexual risk taking in adolescence: examining negative gender beliefs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.007 |
| 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 it