Understanding Anishinaabek G'giikendaaswinmin (knowledge) on N'bi (water), Naaknigewin (law) and Nokomis Giizis (Grandmother Moon) in the Great Lakes Territory for Water Governance
Bibliographic record
Abstract
The Canadian settler state lacks a gender balance in N’bi governance and decision making. Little documentation articulates Anishinaabek understandings of reconciliation and how reconciliation can assist with reconciling different legal orders and governance structures which includes Nokomis Giizis (grandmother moon). Drawing on Anishinaabek from the Great Lakes territory, this research explores how does Anishinaabek law construct the role of women in N’bi decision making; can the broader discourse in Canada about reconciliation assist with improving humanity’s relationship to N’bi; how can the concept of reconciliation assist with reconciling different legal orders, and governance structures; what are the relationships and responsibilities between Anishinaabek and Nokomis Giizis and how can these relationships inform N’bi governance including women’s roles. This study utilized an Anishinaabek Research Paradigm (ARP) that employs Indigenous Intelligence as a conceptual framework for qualitative Anishinaabek analysis of data throughout the study. G’giikendaaswinmin shared through conversations, key informants and a focus group are provided into three separate manuscripts. Manuscript One: Indigenous Water Governance: Anishinaabek naaknigewin (law) Constructs the Role of Anishinaabek kweok (women) in N’bi (water) Decision Making supports and expands on existing literature of kweok as N’bi carriers with roles and responsibilities to and specific knowledge of N’bi. It demonstrates that men have a role in N’bi governance and reveals how Anishinaabek naaknigewin constructs the role of kweok in N’bi decision making. Manuscript Two: N’bi Can Teach us about Reconciliation demonstrates how N’bi can teach humanity about reconciliation which could address environmental conflict. It reveals that Anishinaabek understanding of reconciliation is different than mainstream society and is about relationships between Anishinaabek and non-Indigenous but also about relationships with N’bi. Manuscript Three: Relationships and Responsibilities between Anishinaabek and Nokomis Giizis (Grandmother Moon) can Inform N’bi (water) Governance establishes that Anishinaabek understand the relationships and responsibilities to Nokomis Giizis through the cycles of both kweok and Nokomis Giizis that is guided through Anishinaabek naaknigewin. In brief, this study supports and expands that kweok need to be involved in water governance based on their knowledge and relationships with N’bi and Nokomis Giizis.
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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 | 0.002 |
| 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 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".