Stability and Variability of Adolescents’ Affiliation with Delinquent Friends: Predictors and Consequences
Bibliographic record
Abstract
The effects of stability versus change in adolescents’ affiliation with delinquent or nondelinquent friends over a two‐year period (T1–T2) on delinquent behavior one year later (T3) were examined. In addition, T1 predictors of stability and change in the affiliation with delinquent or nondelinquent friends from T1 to T2 were assessed. Participants were 152 adolescents (77 girls, mean age 12.1 years at T1). Friends’ delinquent behavior was assessed through friends’ self‐reports. The T1 predictor variables included adolescents’ own delinquent behavior, attitude toward delinquent behavior, and parental monitoring. Adolescents’ friendship affiliations at T2, but not at T1, predicted delinquent behavior at T3, suggesting a recency effect of friendship affiliation. Attitude toward delinquent behavior at T1 was the main predictor of stability versus change in adolescents’ affiliation with delinquent or nondelinquent friends from T1 to T2.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".