Adverse Childhood Experiences and Adolescent Police Contact in the United Kingdom
Bibliographic record
Abstract
OBJECTIVES: Adverse childhood experiences (ACEs) are prevalent in the population and yield several adverse consequences for child health and development as they accumulate. The objective of the current study is to examine the association between ACEs and adolescent police contact using a national, longitudinal study of adolescents born in the United Kingdom. METHODS: Data come from a sample of 11 313 adolescents who participated in the UK Millennium Cohort Study (MCS), which is a national, longitudinal study of adolescents born in the United Kingdom between 2000 and 2002. Accumulating ACEs were measured at ages 5 and 7 years and reports of police contact were measured at age 14 years, including being stopped and questioned, warned/cautioned, and arrested. RESULTS: Accumulating ACEs at ages 5 and 7 years are associated with a significant increase in the odds of experiencing police stops by age 14 years, with 3 or more ACEs corresponding to a 100% increase in the odds of police stops. Additional analyses reveal that behavioral health factors at age 11 years explain 58.5% to 78.1% of the association between ACEs and adolescent police stops, with externalizing behavior explaining the largest portion of the association. Finally, accumulating ACEs were most relevant to being warned/cautioned or arrested by police. CONCLUSIONS: A history of accumulating ACEs during early childhood elevates the likelihood of police contact by age 14 years, in part by undermining behavioral health. Findings highlight the potential for early interventions in the lives of ACE-exposed adolescents to curtail justice system involvement.
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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 | 0.000 | 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 | 0.000 |
| 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".