Book Review: Tribal Constitutionalism: States, Tribes, and the Governance of Membership, by Kirsty Gover
Bibliographic record
Abstract
CITIZENSHIP IS DEEPLY ENTWINED with state and Indigenous law.Th e conceptualization and governance of belonging to, and participating within, collectives have far-reaching social, political, legal, and thus also profoundly personal implications.The legal dimensions of Indigenous citizenship are particularly complex, as both Indigenous and state law are at play. 3 In her book, Tribal Constitutionalism: States, Tribes, and the Governance of Membership, Kirsty Gover raises important questions about the discrepancies between Indigenous and settler-state approaches to articulating and governing Indigenous citizenship.While I focus on Canada in this review, Gover's research includes Canada, the United States, New Zealand, and Australia.It addresses the question of "what principles should structure the relationship between settler and tribal governments in membership governance?" 4 Gover looks at various historical and contemporary
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 0.011 |
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".