Moderators of the relationship between peer influence and physical risk-taking decisions in childhood
Bibliographic record
Abstract
In Canada, unintentional injury is the leading cause of death beyond age one, and a leading cause of hospitalization for children. For school-age children, injuries often occur when children are unsupervised and with peers. The present study addresses how personality attributes interact with relational context to predict peer influences on risk taking decisions at these ages. Participants engaged in a physical risk taking task (i.e., balance beam) before and after a peer influence manipulation (i.e., peer engaged in greater risk-taking than the target child). Results revealed that children high on the personality attribute 'need for approval' were more easily influenced toward risk taking but only when indices of friendship quality were high. Additionally, threat appraisals (severity and vulnerability) showed reductions, from pre- to post-influence, that were predictive of peer influenced risk taking decisions. The results suggest the importance of examining childhood risk-taking within both relational and social-situational contexts.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".