Preliminary patterns in circumstances surrounding opioid-related deaths in Ontario during the COVID-19 pandemic
Bibliographic record
Abstract
Opioid-related deaths across Canada have been an ongoing public health crisis for over a decade. Between January and March 2020 alone, there were 1,018 opioid-related deaths recorded in Canada, the majority of which were accidental. In the midst of this ongoing crisis, a state of emergency was declared on March 17, 2020 due to the COVID-19 pandemic. Within Ontario, the first wave of the pandemic was managed with public health restrictions to mitigate the spread of COVID-19, which included physical distancing measures that resulted in reduced capacity for pharmacies, outpatient clinics, and harm reduction sites providing care to people who use drugs. Despite the intention to reduce the impact of COVID-19, there is concern that these measures could lead to unintended harms. \n \nThis report describes the preliminary patterns in circumstances surrounding opioid-related deaths in Ontario during COVID-19. An understanding of these circumstances is urgently needed to inform interventions and policies to prevent further opioid-related mortality in the midst of this pandemic.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".