Prospective Childhood Risk Factors for Gang Involvement Among North American Indigenous Adolescents
Bibliographic record
Abstract
The purpose of the study was to examine prospective childhood risk factors for gang involvement across the course of adolescence among a large eight-year longitudinal sample of 646 Indigenous (i.e., American Indian and Canadian First Nations) youth residing on reservation/reserve land in the Midwest of the United States and Canada. Risk factors at the first wave of the study (ages 10-12) were used to predict gang involvement (i.e., gang membership and initiation) in subsequent waves (ages 11-18). A total of 6.7% of the participants reported gang membership and 9.1% reported gang initiation during the study. Risk factors were distributed across developmental domains (e.g., family, school, peer, and individual) with those in the early delinquency domain having the strongest and most consistent effects. Moreover, the results indicate that the cumulative number of risk factors in childhood increases the probability of subsequent gang involvement. Culturally relevant implications and prevention/intervention strategies are discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".