Anti-Violence Efforts in Canadian Schools: A Critical Look at Some Civil Society Responses to Bullying
Bibliographic record
Abstract
Violence is a significant issue in Canadian schools that includes a wide spectrum of actions among students commonly understood as “bullying” (Craig, Lambe, & McIver, 2015). While the efforts of governments and academic researchers are expected, less is known about how civil society is responding to this challenge and the significance of children’s rights in their responses. This paper outlines that many efforts reflect simplistic responses, funding issues, the need for greater prevention, improved coordination, long-term plans, as well as a general gap of children’s rights. The paper concludes that children’s rights must be better respected in these education efforts and that greater, coordinated participation is needed across civil society and beyond for progress with anti-violence efforts. With information about how various systems and institutions respond to violence, it is hoped that practitioners, researchers and policy makers concerned about violence in schools may further contribute to stronger rights-based advocacy efforts for, and with, young people.
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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 | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.019 |
| Science and technology studies | 0.075 | 0.017 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.004 | 0.007 |
| 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".