Measuring What Counts to Advance Indigenous Self-Determination: A Case Study of the Nisga’a Lisims Government’s Quality of Life Framework and Survey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Modern Treaties are presented as a means for improving the lives of First Nations, Inuit, and Métis peoples in Canada by providing specific rights, and negotiated benefits. However, the positive impacts of Modern Treaties on Indigenous well-being are contested (Borrows and Coyle 2017; Coulthard 2014; Guimond et al. 2013; Miller 2009; Poelzer and Coates 2015). Developing a more transparent, consistent, collaborative and contextual way of measuring well-being relevant to the cultural realities of Modern Treaty beneficiaries is an important step for generating comparative methods that could systematically demonstrate whether, and under what conditions, such agreements can effectively reduce socio-economic disparities and improve the quality of life of Indigenous communities. The authors first examine previous attempts at measuring Indigenous well-being, then reflect on well-being in relation to the Modern Treaty context. Subsequently, the authors provide an example from one Self-Governing Indigenous Government, the Nisga'a Lisims Government, to collect well-being data through the Nisga'a Nation Household Survey using a mixed quantitative-qualitative method developed through a culturally grounded and participatory approach.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it