Diversifying Methodologies: A Haudenosaunee/Settler Approach for Measuring Indigenous-Local Intergovernmental Success
Bibliographic record
Abstract
Abstract Intergovernmental agreements between municipal and Indigenous governments are rapidly expanding in number and importance in Canada and the United States, yet they remain underexamined in the literature. This article considers how to measure the success of these agreements. It takes as a case study the port divestiture agreement between the City of Cornwall (Ontario, Canada), and a neighbouring Indigenous government, the Mohawk Council of Akwesasne. While the agreement represents a partial success and partial failure by conventional public policy and public administration metrics, these evaluations are different when measured against the Haudenosaunee (Iroquois) principle of “one-mindedness.” Findings, which were generated using anthropological and qualitative political science methods, suggest that the use of both Indigenous and non-Indigenous frameworks are required to produce accurate and comprehensive evaluations of these agreements and the outcomes that are produced by them.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".