Managing conduct: a comparative policy analysis of safe schools policies in Toronto, Canada and Buffalo, USA
Bibliographic record
Abstract
Public school districts in Buffalo, USA and Toronto, Canada reviewed their safe schools policies in 2008. Revised Codes of Conduct are compared to earlier versions and each other, and a conceptual policy web is used to understand how local, state/provincial, national, and international influences affect local safe school policies. The comparison demonstrates that while influenced by international beliefs about unsafe schools and youth violence, affected by local social, economic, and historical contexts, and constrained by state/provincial and federal policies, local school districts are nevertheless able to exercise some agency. The study also highlights the importance of Ontario's Human Rights Commission as a policy actor, and suggests zero tolerance for non‐serious incidents may be practised in Buffalo schools. This finding and the continued practice of excluding students from schools in both districts as a discipline approach casts doubt on the sincerity of governments' commitments to evidence‐based policy in education at all levels. Contributions of the conceptual policy web for policy analysis are discussed.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.019 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".