Resilience in the Face of Risk : Investigating the Moderating Effects of School Connectedness, Educational Commitment, and Educational Belief in the Context of Adolescent Antisocial Behaviour
Bibliographic record
Abstract
According to the Social Development Model (SDM), social bonds such as one’s sense of connection to school can significantly impact antisocial behaviour. The current study provides a cross-sectional analysis of school bonding in relation to antisocial behaviour and peer-related risk in a sample of 111 adolescents. Hierarchical regression analyses were performed to evaluate the dimensions of school bonding (educational commitment, educational belief, school connectedness) as both predictors and inhibitors of antisocial behaviour. Contrary to the SDM, educational commitment was the only significant predictor of antisocial behaviour. Furthermore, preliminary analyses did not support school bonding variables as moderators of peer-related risk. However, subsequent analyses examining moderation by gender revealed that school connectedness is a moderator of deviant peer affiliation for female youth. The results of this study extend previous findings by demonstrating the continued relevance of school-based resilience in high school and by illustrating the specificity of this resilience by gender.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".