First Nations’ Survivance and Sovereignty in Canada during a Time of COVID-19
Bibliographic record
Abstract
First Nations people in Canada have demonstrated and continue to demonstrate persistent and resilient cultural, linguistic, and traditional endurance: survivance. The devastation resulting from centuries of health pandemics such as smallpox, influenza, cholera, tuberculosis, measles, and scarlet fever reinforce the ongoing resilience of First Nations people, cultures, and traditions in Canada. Despite the history of pandemic-related trauma and a myriad of social, political, environmental, and health challenges, as well as the added burden that COVID-19 is placing on the healthcare system in Canada, First Nations’ organizations and leadership are enacting their inherent rights to sovereignty and governance. While First Nations are bracing for the expected negative impacts of COVID-19, they are doing so in ways that respect and honor their histories, cultures, languages, and traditions. First Nations are acting to protect some of the most vulnerable people in their communities including elders, knowledge keepers, and storytellers who carry with them irreplaceable traditional and cultural knowledges.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.050 | 0.011 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".