The comparative and cumulative impact of different forms of violence exposure during childhood and adolescence on long-term adult outcomes
Bibliographic record
Abstract
Abstract Violence exposure during childhood and adolescence is associated with a range of negative psychosocial outcomes. Research examining the impact of violence exposure has been limited by the compartmentalization into separate bodies of research (e.g., community violence, domestic violence). There is also a paucity of research examining long-term adult outcomes. Using a large and racially diverse sample (n = 754; male = 58%; Black = 46%), the current longitudinal study aimed to elucidate the comparative and cumulative effect of different types of violence exposure (witnessing vs. victimization) across different locations (home, school, neighborhood) in childhood and adolescence (lifetime through Grade 8) on long-term internalizing, externalizing, and attention problems; substance use; and intimate partner violence in adulthood (age 25). Victimization, but not witnessing violence, predicted all five adult outcomes. Specifically, being victimized at home was associated with the widest range of negative outcomes (internalizing, externalizing, and attention problems), while school victimization was associated with substance use. Further, when youth experienced multiple types of violence across multiple locations (cumulative violence exposure), they experienced a more diverse range of negative outcomes in adulthood (composite score). The current study highlights the stronger effects of violence exposure in more proximal contexts, and how these locations are important for emotional and behavioral development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".