Litigating in the Time of Coronavirus: Mental Health Tribunals’ Response to COVID-19
Bibliographic record
Abstract
People with mental health and addiction issues are disproportionately affected by COVID-19 given the elevated risk of contracting COVID-19 within psychiatric facilities. The impact of the pandemic on this extraordinarily vulnerable population includes the potential for large outbreaks and multiple deaths. There is also the increased risk of serious psychological harm, exacerbating pre-existing mental health and substance use issues and in turn elevating their risk to themselves and/or others. In Part I of this paper, we analyze the procedural barriers to access to justice that arose as a result of the initial responses to COVID-19 by the Consent and Capacity Board [CCB] and the Ontario Review Board [ORB]. In Part V, we include a brief report on how appeals taken from both tribunals have been handled throughout COVID-19 to date. In Part VI, we analyze the discretionary and systemic barriers experienced by people with mental health and addiction issues appearing before the CCB and ORB during COVID-19. We critique recent mental health law cases during COVID-19 where deprivations of liberty interests and substantive equality have occurred, and access to justice for people with mental health and addictions issues has been denied, suspended or impaired. Through a legal analysis of how the pandemic has impacted this vulnerable community of litigants, we hope this research will result in further advocacy and education to prevent outbreaks and death, improve health care practices, and increase access to justice.
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How this classification was reachedexpand
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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".