Risky sexual behaviours: The role of substance use, psychopathic traits, and attachment insecurity among adolescents and young adults in Quebec
Bibliographic record
Abstract
The purpose of this study was to examine how substance use, psychopathic traits, and attachment representations explain sexual risk-taking in adolescence. Variables used to define risky sexual behaviours were age at first sexual intercourse and number of lifetime sexual partners. A sample of 1,553 adolescents and young adults completed a battery of questionnaires including measures of substance use, psychopathic traits, attachment representations, and sexual behaviours. Structural equation modelling demonstrated that, in the present sample, risky sexual behaviours were best modelled through both direct effects of avoidant attachment representations and indirect effects of psychopathic traits and abandonment anxiety through increases in substance use. This model was gender-invariant and may represent a contemporary trend toward homogenization of sexual practices among young people in Quebec.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".