Children's disruptiveness, peer rejection, friends' deviancy, and delinquent behaviors: A process-oriented approach
Bibliographic record
Abstract
This study examined whether peer rejection and affiliation with deviant friends throughout childhood could mediate the link between early disruptiveness and two aspects of delinquent behaviors (i.e., violence and substance use) in a sample of 375 children. Furthermore, we tested whether the two putative mediators operated in a sequential manner or in a parallel manner. Participants' disruptiveness, peer rejection, and friends' deviancy were assessed throughout childhood (ages 7 to 13). Delinquency-related outcomes were assessed at ages 14 and 15 years. Results indicate that the sequential mediational model was supported when delinquency-related violence was the outcome, but not when substance use was the outcome. The discussion stresses the differential role of peer rejection and affiliation with deviant friends in regard to the two outcomes considered in this study and in regard to the time frame when they were measured. This research was made possible by a grant from the Social Sciences and Humanities Research Council of Canada. We thank the authorities and directors of schools in the Val d'Or School Board as well as the teachers and children for their first-rate collaboration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".