Evaluation of Social and Academic Effects of School-wide Positive Behaviour Support in a Canadian School District
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
This article discusses School-wide Positive Behaviour Support (SWPBS), an evi-dence-based approach to teaching social competencies and enhancing the school social environment. The focus of this article is on the value of evaluation and evaluation plans at a district level for maintaining and increasing the effective-ness of SWPBS in a district. We review the key components of evaluation plans and describe a framework for creating evaluation plans created for British Co-lumbia. We also provide an example of the evaluation efforts using this framework in a medium sized school district in British Columbia. Results showed decreased levels of problem behaviour, decreased numbers of students at risk for significant behaviour challenges, and increased academic achievement and stu-dent perceptions of school safety for schools implementing SWPBS, in comparison to low implementing schools and district and provincial averages.
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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 | 0.001 | 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) | 0.012 | 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