Covid-19 pandemic: Implications for first nations communities in canada
Bibliographic record
Abstract
A recent surge of Coronavirus disease 2019 (COVID-19) cases in First Nations communities during the second wave of the pandemic has raised concerns over the susceptibility of First Nations communities to COVID-19, as well as the preparedness of Canada’s healthcare system in supporting isolated First Nations communities during the pandemic. Despite government initiatives and funding throughout the pandemic, it is well established that First Nations communities continue to face longstanding health disparities when compared to the rest of the Canadian population. In this commentary, we argue for a multidimensional approach that encompasses the social determinants of health for understanding the susceptibility of First Nations to COVID-19 outbreaks, and potential solutions aimed at primary prevention and community preparedness that will benefit First Nations communities across Canada. Based on this approach, we recommend that healthcare providers and community members advocate at both provincial and federal levels for proper housing, access to clean water, implementation of culturally competent care into practice, adequate health teaching and understanding of public health recommendations (e.g. proper handwashing techniques) and robust monitoring of patients who may be at risk for COVID-19 infection. © 2021, University of Toronto. All rights reserved.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".