Bibliographic record
Abstract
Abstract The survival and resurgence of Indigenous legal orders and constitutional traditions in Canada, as elsewhere, disrupt the normative hegemony of the liberal state and articulate a constitutionalism that accounts for a plurality of laws. How can state and non-state legal orders interact across vastly different normative worlds? How can their interaction address the colonial power imbalance and what role should recognition play in this relationship? This article draws on the work of Ralf Michaels on relational legal pluralism and Aaron Mills on Anishinaabe constitutionalism to explore how a legally plural society must embrace Michaels’ challenge of constitutive external recognition: the idea that legal orders mutually constitute each other through recognition without interfering with each other’s factual status as law. External recognition is consistent with strong legal pluralism and is distinct from recognition within the multicultural liberal state, a form of weak legal pluralism and continued colonialism. Mills’ discussion of treaty, rather than contract, as a foundation for shared political community assists in imagining a constitutionalism with/in Canada in which distinct legal orders can mutually constitute each other without domination. Linkage norms may help to establish reciprocal relations among state law and Indigenous legal orders, and the enactment of such ‘tertiary rules of recognition’ from within Indigenous legal orders may itself shift the balance of power.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".