An Examination of Correlates for Adolescent Engagement in Nonsuicidal Self‐Injury, Suicidal Self‐Injury, and Substance Use
Bibliographic record
Abstract
Little research has examined potential risk factors for direct versus indirect self-injury among adolescents. To address this limitation, 541 clinically referred adolescents were assessed using the interRAI Child and Youth Mental Health Assessment. Logistic regression analyses revealed that older females who experienced heightened depressive symptoms and neighborhood violence were at increased risk for direct self-injury, specifically nonsuicidal and suicidal self-injury. Additionally, adolescents who experienced higher levels of caregiver distress were at greater risk of suicidal self-injury. In contrast, older adolescents who experienced heightened aggressive behavior were at increased risk for one form of indirect self-injury, substance use. Findings suggest that nonsuicidal self-injury, suicidal self-injury, and substance use are associated with differential risk factors. Implications for targeted prevention strategies are discussed.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".