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Record W7053194022

Understanding Anishinaabek G'giikendaaswinmin (knowledge) on N'bi (water), Naaknigewin (law) and Nokomis Giizis (Grandmother Moon) in the Great Lakes Territory for Water Governance

2022· other· en· W7053194022 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceIndigenousMainstreamConstruct (python library)AccountabilityHumanityQualitative researchState (computer science)
DOInot available

Abstract

fetched live from OpenAlex

The Canadian settler state lacks a gender balance in Nbi 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 Nbi decision making; can the broader discourse in Canada about reconciliation assist with improving humanitys relationship to Nbi; 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 Nbi governance including womens 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. Ggiikendaaswinmin 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 Nbi (water) Decision Making supports and expands on existing literature of kweok as Nbi carriers with roles and responsibilities to and specific knowledge of Nbi. It demonstrates that men have a role in Nbi governance and reveals how Anishinaabek naaknigewin constructs the role of kweok in Nbi decision making. Manuscript Two: Nbi Can Teach us about Reconciliation demonstrates how Nbi 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 Nbi. Manuscript Three: Relationships and Responsibilities between Anishinaabek and Nokomis Giizis (Grandmother Moon) can Inform Nbi (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 Nbi and Nokomis Giizis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.325
Threshold uncertainty score0.655

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.013
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.021
GPT teacher head0.158
Teacher spread0.137 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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