Early Risk Behaviors and Adolescent Injury in 25 European and North American Countries
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
Injury is a leading cause of mortality and morbidity among adolescents in developed countries. Jessor and Jessor’s Problem Behavior Theory suggests an association between risk behaviors (e.g., smoking, drunkenness, cannabis use, and sexual intercourse) and adolescent injury. The present study examined whether early engagement in risk behaviors would predict injury at age 15. It also examined whether such associations were consistent in strength across countries. Based on the data from the 2005-2006 Health Behaviour in School-aged Children (HBSC) survey, a multigroup logistic regression analysis was conducted. Our findings demonstrate a cross-national consistent association (with relative odds of injury rising to 1.85; 95% CI: 1.70-2.02). Based on the study findings, early engagement in risk behaviors was considered a marker for a trajectory that places adolescents at higher risk for physical injury, independent of their national context.
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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 | 0.000 | 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 it