Exploring the Associations Between Community Gun Violence Exposure and Adolescent Delinquency: Evidence from the Future of Families and Child Wellbeing Study
Bibliographic record
Abstract
In the past decades, an increasing body of research has delved into the mechanisms of adolescent delinquency from various perspectives, including individual characteristics, interpersonal relationships, school environments, and community settings. However, limited research focused on its association with community gun violence exposure. Utilizing data from 3,595 adolescents ( M = 15.63, SD = 0.71) and their families, we examined how the number of gun violence incidents proximal to adolescents’ homes and schools was linked with their self-reported delinquent behaviors, controlling for other important individual, interpersonal, and community-level predictors of adolescent delinquency. Results revealed relationships between gun violence within 1,000 and 500 m of homes (but not schools) and adolescent delinquency; yet the direction of the relationship differs by distance.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".