Workplace Violence Against Nurses in Canada: A Legal Analysis
Why this work is in the frame
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Bibliographic record
Abstract
Workplace violence against nurses is a significant global occupational health problem, with incidents of violence increasing in frequency since the COVID-19 pandemic began. In this article, we provide a review of recent legislative amendments meant to bolster workplace safety in health care in Canada, analyze legal cases where nurses were the victims of violence, and discuss what these legal reforms and decisions reveal about how nurses' work is treated within the Canadian legal system. Under criminal law, the limited number of cases we could find with oral or written sentencing decisions show that, historically, the fact a victim was a nurse was not always considered an aggravating factor on sentencing. Recent legislative amendments make this a specified aggravating factor and it is important to track the impact of these amendments when judges exercise their discretion in sentencing. Under employment law, it appears that, despite the government's efforts to increase the deterrence factor under legislation with significantly increased fines for employers who fail to protect their employees from injury, courts remain reluctant to impose such sanctions. In these cases, it is also important to track the impact of harsher penalties. We conclude that combating the widespread normalization of workplace violence in health care, and specifically against nurses, is acutely needed to help ensure that these ongoing legal reforms aimed at improving the safety of health workers are effective.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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