Reconciliation and the Supreme Court: The Opposing Views of Chief Justices Lamer and McLachlin
Bibliographic record
Abstract
The Supreme Court of Canada has said that Aboriginal rights were recognized and affirmed in the Canadian Constitution in 1982 in order to reconcile Aboriginal peoples’ prior occupation of Canada with the Crown’s assertion of sovereignty. However, sharp divisions appeared in the Court in the 1990s over how this reconciliation is to be achieved. Chief Justice Lamer, for the majority, understood reconciliation to involve the balancing of Aboriginal rights with the interests of other Canadians. In some situations, he thought this could justify the infringement of Aboriginal rights to achieve, for example, economic and regional fairness. Justice McLachlin, on the other hand, in strongly worded dissent, regarded infringement for such purposes as unconstitutional. In her opinion, reconciliation can best be achieved through negotiation and the time-honoured process of treaty making.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".