Advancing Reconciliation? Inclusion of Indigenous Peoples and Perspectives in the Mackenzie River Basin Transboundary Agreements
Bibliographic record
Abstract
There is a long history in Canada of Indigenous peoples remaining on the outside of water governance, despite widespread agreement that environmental governance should include all affected parties.The importance of reconciling relationships with Indigenous peoples has launched a number of legislative attempts to improve their involvement in governance, however significant challenges remain.This is true for the Mackenzie River Basin, a transboundary watershed with a diverse and dispersed population.While water governance of the Basin has involved provincial and territorial jurisdictions, the extent of Indigenous participation has yet to be determined.Through a content analysis of the Master Agreement and the 2015 Bilateral between the NWT and Alberta and semi-structured interviews, this study investigates how Indigenous peoples and their perspectives have been represented in governance.Findings suggest that current governance continues to filter Indigenous perspectives through government and fails to achieve a nation-to-nation relationship.
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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 | 0.015 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.030 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.004 |
| 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".