Researchers Supporting Schools to Improve Health: Influential Factors and Outcomes of Knowledge Brokering in the COMPASS Study
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
BACKGROUND: Although schools are considered opportune settings for youth health interventions, a gap between school health research and practice exists. COMPASS, a longitudinal study of Ontario and Alberta secondary students and schools (2012-2021), used integrated knowledge translation to enhance schools' uptake of research findings. Schools received annual summaries of their students' health behaviors and suggestions for action, and were linked with COMPASS knowledge brokers to support them in making changes to improve student health. This research examines the factors that influenced schools' participation in knowledge brokering and associated outcomes. METHODS: School- and student-level data from the first 3 years of the COMPASS study (2012-2013; 2013-2014; 2014-2015) were used to examine factors that influenced knowledge brokering participation, school-level changes, and school-aggregated student health behaviors. RESULTS: Both school characteristics and study-related factors influenced schools' participation in knowledge brokering. Knowledge brokering participation was significantly associated with school-level changes related to healthy eating, physical activity, and tobacco programming, but the impact of those changes was not evident at the aggregate student level. CONCLUSIONS: Knowledge brokering provided a platform for collaboration between researchers and school practitioners, and led to school-level changes. These findings can inform future researcher-school practitioner partnerships to ultimately enhance student health.
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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 | 0.017 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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