WHAT CHANGES DID GRASSY NARROWS FIRST NATION MAKE TO FEDERALISM AND OTHER DOCTRINES
Bibliographic record
Abstract
The Grassy Narrows case was a challenge, based on the promises made in Treaty 3, to Ontario’s forest management scheme. The underlying concern was the impact of a logging licence on treaty hunting rights. The Supreme Court of Canada needed to consider treaty interpretation, the constitutional protection of treaty promises, and the constitutional law doctrine of interjurisdictional immunity, as well as the interactions among these concepts. In making its ruling, the Court established a new doctrine of constitutional evolution, which filled what was arguably a perplexing gap in the enforcement of treaty rights. The Court also narrowed, but, the author argues, did not abolish, the doctrine of interjurisdictional immunity in the Aboriginal law context. The author also argues that the Court did not change the principles of treaty interpretation, but did not apply them fully to the facts of the case. The author suggests that the doctrine of justified infringement in the context of treaty rights deserves another look, especially in the case of modern treaties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".