COVID-19 Pandemic: Invoking the Famine and Pestilence Clause to be Paired with the Medicine Chest Clause from the Numbered Treaties
Bibliographic record
Abstract
Treaty-based strategies are required to address the unique needs of Indigenous communities in Canada during the COVID-19 pandemic. A treaty-based approach should recognize provisions within the Numbered Treaties, including the Famine and Pestilence Clause and Medicine Chest Clause, agreed to during the signing of Treaty 6 in 1876. The Famine and Pestilence Clause established the Crown’s obligation to aid Indigenous Peoples within Treaty 6 Territory in the event of calamities such as locust raids, storms, starvation, and disease. The Medicine Chest Clause instituted the means through which the Crown would provide medical care for Indigenous Peoples within the jurisdiction. The Government of Canada has a legal obligation to invoke the Famine and Pestilence Clause and Medicine Chest Clause in a strategy to address the spread of COVID-19 in Indigenous communities.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.013 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".