Changing contexts? The effects of a primary prevention program on classroom levels of peer relational and physical victimization
Bibliographic record
Abstract
Abstract Whereas school‐based prevention programs often target deficits in individual children's social skills in order to limit their aggression or exposure to peer victimization, there is increasing evidence that school‐wide and classroom‐level factors can also affect the success of these programs. This short‐term longitudinal study involved 432 elementary school students from 44 classrooms in 17 urban schools. We investigated whether classroom characteristics (average levels of social competence, emotional problems, and behavioral problems) and school‐wide characteristics (proportion of children on income assistance and implementation of a peer victimization prevention program—the Walk away, Ignore, Talk, and Seek help [W.I.T.S.] program) experienced in Grade 1 influences changes in children's reports of relational and physical victimization at the end of Grade 2. Findings showed that classroom levels of emotional problems predicted increases in relational victimization (beyond individual differences in emotional and behavioral problems). Classroom levels of behavioral problems predicted reports of increases in physical victimization (beyond individual differences). Classroom levels of social competence also interacted with individual levels of emotional problems such that children with higher levels of emotional problems in classes with more socially competent children reported more relational and physical victimization. Higher school levels of poverty and lack of program involvement also predicted higher levels of physical victimization, beyond individual and classroom effects. The capacity of the W.I.T.S. program to influence classroom level characteristics and the moderating effects of school poverty on victimization were also assessed. © 2003 Wiley Periodicals, Inc. J Comm Psychol 31: 397–418, 2003.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".