8.1 Political Failure, Judicial Opportunity: The Supreme Court of Canada and Aboriginal and Treaty Rights
Bibliographic record
Abstract
What role do courts play in public policymaking? Fifty years ago, Robert Dahl found that courts largely defer to the political process in public policymaking. Accepted by the majority of scholars today, Dahl’s view suggests skepticism that courts play a significant role in the policymaking process. The few scholars, who concede that courts play a role in policymaking, often see that role as less direct or as in response to public opinion. Using the development of Aboriginal and treaty rights policy in Canada as a case study, I find that the Supreme Court of Canada succeeded in revitalizing the making of Aboriginal and treaty rights policy in the 1990s even without the support of politicians or the public. In 1990, the Court irrevocably altered Aboriginal and treaty rights policy by establishing Aboriginal and treaty rights in section 35(1) of the Constitution and curtailing Parliament’s ability to extinguish these rights. Most notably, the Court reinvigorated the policymaking process by encouraging politicians to revisit Aboriginal and treaty rights policies. When they failed, the Court re-entered the policymaking arena by recognizing and protecting a wide range of Aboriginal and treaty rights from governmental incursion over the next six years. The Court’s emergence as a significant and influential policymaker was the product of historical and institutional forces. While legal mobilization, growing public support, and the judicialization of politics contributed to the development of the Court’s role, I use interviews with political and legal players as well as the Court’s own language to show how the failure of the political process influenced the Court to reinvigorate Aboriginal and treaty rights policymaking. My emphasis on political failure illuminates a more complex relationship between courts, the political process, and policymaking. It also highlights how courts can play an influential role in public policy making.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.029 | 0.045 |
| Scholarly communication | 0.022 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.008 | 0.011 |
| 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".