Impacts of the COVID-19 pandemic on opioid related poisoning among First Nations in Ontario
Bibliographic record
Abstract
Chiefs of Ontario (COO)Chiefs of Ontario supports all First Nations in Ontario as they assert their sovereignty, jurisdiction, and their chosen expression of nationhood. Guided by the Chiefs inAssembly, we uphold self-determination efforts of the Anishinaabek, Mushkegowuk, Onkwehonwe, and Lenape Peoples in protecting and exercising their inherent and Treaty rights.Keeping in mind the wisdom of our Elders, and the future for our youth, we continue to create the path forward in building our Nations as strong, healthy Peoples respectful of ourselves, each other, and all creation.The activities of the Chiefs of Ontario are mandated through and guided by: • Resolutions passed by the Chiefs in Assembly of the 133 First Nations in Ontario; • The Leadership Council made up of the Grand Chiefs of Political Territorial Organizations (PTOs) and Independent First Nations; • The elected Regional Chief for the Chiefs of Ontario.For more information about COO, visit www.chiefs-of-ontario.org. Ontario Drug Policy Research Network (ODPRN)The Ontario Drug Policy Research Network is a province-wide network of researchers who provide timely, high quality, relevant drug policy research to decision makers and knowledge users across the province.The ODPRN houses the Ontario Opioid Drug Observatory (OODO) which is funded through a grant from the Canadian Institutes of Health Research (CIHR).This observatory aims to measure, assess and evaluate the use of prescription opioids, opioid-related poisonings, and opioid-related drug policy by leveraging large, population-level data sources.The ODPRN regularly uses data from ICES (formerly the Institute for Clinical Evaluative Sciences), an independent, non-profit research institute in Ontario, Canada to conduct this research.For more information, visit www.odprn.ca. About the Research PartnersThis report contains content that may trigger unpleasant feelings or thoughts.If you need emotional support, please contact:• The First Nations and Inuit Hope for Wellness Help Line at 1-855-242-3310 or connect to the online chat at hopeforwellness.ca.Service languages: Ojibway, Cree, Inuktut, English, French.• Your local nursing station, health centre, local mental health program, or an Elder This study was supported by ICES
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".