Bibliographic record
Abstract
In 1888, the Judicial Committee of the Privy Council ruled in St. Catherine’s Milling and Lumber Company v. The Queen, a case involving the Saulteaux people’s land rights in Ontario. This precedent-setting case would define the legal contours of Aboriginal title in Canada for almost a hundred years, despite the racist assumptions about Indigenous peoples at the heart of the case. In Flawed Precedent, preeminent legal scholar Kent McNeil provides a compelling account of this contentious case. He begins by delving into the historical and ideological context of the 1880s. He then examines the trial in detail, demonstrating how prejudicial attitudes towards Indigenous peoples influenced the decision. He further discusses the effects that St. Catherine’s had on law and policy until the 1970s when its authority was finally questioned in Calder, then in Delgamuukw, Marshall/Bernard, Tsilhqot’in, and other key rulings. He also provides an informative analysis of the current judicial understanding of Aboriginal title in Canada, now driven by evidence of Indigenous law and land use rather than by the discarded prejudicial assumptions of a bygone era.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.022 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".