Traditional Knowledge: Considerations for Protecting Water in Ontario
Bibliographic record
Abstract
In Canada, the water crisis increasingly felt around the world is being experienced primarily in small, usually Indigenous, communities. At the heart of this issue lies an ongoing struggle to have Indigenous voices heard in the decision-making processes that affect their lives, lands, and waters. As part of ancient systems of Traditional Knowledge (TK), Indigenous people bear the knowledge and the responsibility to care for the waters upon which they depend for survival. A series of internationally developed documents has supported Indigenous peoples’ calls for increased recognition of the importance of TK in resolving environmental crises, including those involving water. Ontario provincial and Canadian federal governments have been developing legislative and regulatory documents to help fend off further water-related catastrophes within their jurisdictions. Despite such efforts, a number of barriers to the successful and appropriate involvement of TK in water management remain. Based on years of community-based and policy-related research with First Nations people involved in water-related undertakings, this article highlights progress made to date, and provides Indigenous viewpoints on what further steps need to be taken. Key among these steps are the need to restore and maintain Indigenous access to traditional territories and ways of life, and the requirement for mutually respectful collaboration between TK and Western science.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".