Relationships and responsibilities between Anishinaabek and Nokomis Giizis (Grandmother Moon) inform N’bi (Water) governance
Bibliographic record
Abstract
Efforts continue to evolve for sustainable and inclusive water governance in Canada. All humanity relies on N’bi (Water) for life, yet contrasting views and knowledge on N’bi still elude water governance. Far too often, Indigenous women are left out of water governance regardless of their relationships and responsibilities to and for N’bi. Indigenous women, more specifically Anishinaabek (Indigenous Peoples of Turtle Island also known as Canada and the USA) kweok (women) understand the relationships and responsibilities Nokomis Giizis (Grandmother Moon) has to N’bi through the cycles of kweok and Nokomis Giizis and how this is guided through natural law. This article explores the relationships and responsibilities between Anishinaabek kweok and Nokomis Giizis and how it can inform water governance based on Anishinaabek naaknigewin (law).
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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 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".