Effectiveness of School-Based Violence Prevention for Children and Youth: A Research Report
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
Aggression, bullying and violence in children and youth are prevalent in Canada (18%) and internationally. The authors evaluated the effectiveness of Roots of Empathy (ROE), a school-based mental health promotion and violence prevention program for children that has been widely implemented but rarely evaluated. Eight school divisions were randomly assigned to either a treatment group that received ROE in 2002-2003 (445 students) or a wait-list control group (315 students). These were compared on three child mental health outcomes (physical aggression, indirect aggression and pro-social behaviour), rated by teachers and students (self-rated). The three wait-list school divisions received ROE in 2003-2004 (new cohort of 265 students) and were compared with the control group from 2002-2003 on the three outcomes, for replication purposes. For both comparisons, the authors report multi-level modelling analyses regarding (1) immediate effects after ROE completion at the end of the school year (pretest to post-test) and (2) long-term ROE effects up to three years after post-test. ROE had replicated, beneficial effects on all teacher-rated outcomes, which were generally maintained or further improved across follow-up. However, ROE had almost no statistically significant or replicated effects on student-rated outcomes. This is the first evaluation to suggest that ROE appears effective when implemented on a large scale under real-world delivery conditions.
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