Deviant peers: Does friendship stability condition the peer-delinquency link?
Bibliographic record
Abstract
Prior research demonstrates a clear association between deviant peers and delinquent behavior, but it is unclear whether stable relationships provide stronger sources of influence than ephemeral ties. The current study addresses this gap by testing whether individuals are more likely to adjust their delinquent behaviors to be similar to their stable friends compared to their transient affiliations. Drawing from network data in the National Longitudinal Study of Adolescent to Adult Health, we use Stochastic Actor Oriented Models to estimate whether stable friendships condition the peer-delinquency link. Our results suggest the stability of friendships does not impact whether an individual will adopt the delinquency of their friends; adolescents were not more or less likely to conform to their stable and enduring friends compared to their transient and short-lived ties. We discuss the study's implications for understanding peer effects and status-seeking behaviors during adolescence.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".