Indigeneity-Grounded Analysis (IGA) as Policy(-Making) Lens: New Zealand Models, Canadian Realities
Bibliographic record
Abstract
Engaging politically with the principles of indigeneity is neither an option nor a cop out. The emergence of Indigenous peoples as prime-time players on the world’s political stage attests to the timeliness and relevance of indigeneity in advancing a new postcolonial contract for living together differently. Insofar as the principles of indigeneity are inextricably linked with challenge, resistance, and transformation, this paper argues that reference to indigeneity as policy(- making) paradigm is both necessary and overdue. To put this argument to the test, the politics of Maori indigeneity in Aotearoa New Zealand are analyzed and assessed in constructing an indigeneity agenda model. The political implications of an indigeneity-policy nexus are then applied to the realities of Canada’s Indigenous/Aboriginal peoples. The paper contends that, just as the Government is committed to a gender based analysis (GBA) for improving policy outcomes along gender lines, so too should the principles of indigeneity (or aboriginality) secure an indigeneity grounded analysis (IGA) framework for minimizing systemic policy bias while maximizing Indigenous peoples inputs. The paper concludes by theorizing those provisional first principles that inform an IGA framework as a policy (-making) lens.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.013 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".