Bibliographic record
Abstract
Concerns related to the governance of water that have emerged at the global scale have created pressure for, and an increase in, water policy reform in many countries. Simultaneously, Indigenous governance movements related to self-determination are undergoing an immense period of growth and change worldwide; the 2007 United Nations Declaration on the Rights of Indigenous Peoples has been a milestone of this growth. These movements are significant because of Indigenous peoples' asserted rights to lands, waters, and natural resources. In this paper, we explore the extent to which water policy reform efforts recognize concepts of Indigenous governance and self-determination. The extent to which these concepts are recognized is critical because water policy reform often occurs in the asserted traditional territories of Indigenous peoples. Using an empirical case study of water policy reform in British Columbia (BC), Canada, we demonstrate why in Indigenous traditional homelands, water policy reform efforts should have regard for the main tenets of Indigenous governance. The findings indicate that, problematic assumptions exist regarding the role of First Nations. These assumptions have the potential to undermine the prospects for water policy reform. Revisiting these assumptions may be the basis for more effective, enduring policy changes. Implications for water reform processes around the world are discussed.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".