Querying water co-governance: Yukon first nations and water governance in the context of modern land claim agreements
Bibliographic record
Abstract
There exist few examples of functioning water co-governance systems where Indigenous and settler colonial governments work together to share authority for water on a nation-to-nation basis. In this paper I examine the multiple barriers to achieving water co-governance, highlighted by a multidimensional framework including distributional, procedural and recognitional (in)justices. I apply this framework to a case study in the Yukon, Canada, which is based on research conducted in partnership with four out of fourteen Yukon First Nations (Carcross/Tagish, Kluane, Tr'ondëk Hwëch'in and White River First Nations); all are in areas where the water governance system is shaped by Indigenous water rights and authorities that are acknowledged in modern land claim and selfgovernment agreements. Despite the many substantive and positive changes resulting from the explicit acknowledgement of Yukon First Nation water rights, I find that this system falls short of achieving co-governance. In particular, Yukon First Nations critiques highlight the limitations imposed by the continued assertion of 'Crown' jurisdiction over water and by the marginalisation of Indigenous legal orders that follows from the privileging of settler worldviews and forms of governance. Thus, co-governance arrangements depend not only on the distributional justice of shared jurisdiction; Indigenous legal orders and relationships to water must also be reflected in the procedural and recognitional justices of the decision-making processes and institutions that are developed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".