Unpacking the misfit effect: Exploring the influence of gender and social norms on the association between aggression and peer victimization
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social norms are vital for the functioning of adolescent peer groups; they can protect the well-being of groups and individual members, often by deterring harmful behaviors, such as aggression, through enforcement mechanisms like peer victimization; in adolescent peer groups, those who violate aggression norms are often subject to victimization. However, adolescents are nested within several levels of peer group contexts, ranging from small proximal groups, to larger distal groups, and social norms operate within each. This study assessed whether there are differences in the enforcement of aggression norms at different levels. Self-report and peer-nomination data were collected four times over the course of a school year from 1,454 early adolescents ( M age = 10.27; 53.9% boys) from Bogota, Colombia. Multilevel modeling provided support for social regulation of both physical aggression and relational aggression via peer victimization, as a function of gender, grade-level, proximal (friend) or distal (class) injunctive norms of aggression (perceptions of group-level attitudes), and descriptive norms of aggression. Overall, violation of proximal norms appears to be more powerfully enforced by adolescent peer groups. The findings are framed within an ecological systems theory of adolescent peer relationships.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it