The Atlantic First Nations Water Authority: an Indigenous water utility guided by <i>Etuaptmumk</i> or Two-Eyed Seeing
Bibliographic record
Abstract
The Atlantic First Nations Water Authority (AFNWA) is the first Indigenous-owned and operated water and wastewater utility in Canada, providing service to 12 First Nations (at the time of this publication), with a Board of Directors composed of Chiefs and technical and legal experts guided by an Elders Advisory Lodge. The AFNWA is forging a path of self-determination in water service provision through honouring First Nations knowledge and culture and implementing leading-edge western engineering practices through Two-Eyed Seeing. The story of the formation and development of the AFNWA offers examples and experiences that may be useful for engineering and industry specialists working to build relationships and offer services to First Nations and First Nations organizations. Through this article, Elders, AFNWA staff, and engineers and researchers from the Centre for Water Resources studies share their narratives of how Two-Eyed Seeing has manifested in the formation of the first Indigenous water utility in Canada.
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 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 | 0.000 | 0.001 |
| Science and technology studies | 0.044 | 0.018 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".