Bibliographic record
Abstract
In 1996, the Supreme Court of Canada issued judgments in seven Aboriginal fishing rights cases, five of which originated in British Columbia and two that came from Quebec. 1 Following the court's 1990 landmark decision in R. v. Sparrow, 2 a case involving the fishing rights of the Musqueam that established the framework for the interpretation of Aboriginal rights in the Canadian Constitution, these seven cases confirmed the pivotal place of fishing rights in the general development of Aboriginal rights in Canada.Most of my scholarship, which also began in earnest in 1996, has revolved around the five fishing rights cases from British Columbia.They were too intriguing in their historical interpretation, and too important in their legal developments, for a student interested in law, colonialism, and British Columbia to ignore.These court decisions drew me to the fisheries.Although not much in evidence until the final few pages of my first book, the rulings of the Supreme Court provided much of the impetus for it.To understand both the emerging case law, so clearly indicative of continuing conflict between the state and First Nations over fisheries, and the role of law in that conflict, I undertook an exploration of the historical and legal context from which the litigation emerged.In Fish, Law, and Colonialism, I sought to describe that context in the late nineteenth century and, through several case studies, into the early twentieth.That project, however, left me more than a few decades short of the cases I had set out to understand.In its writing, I also discovered there were other stories to be told or retold, one of which was an account of the connections between Indian reserves and Native fisheries, the subject of two of the Supreme Court decisions from 1996: R. v. Nikal and R. v. Lewis.These cases, and the historical record that they opened for me, led me to believe that Canada's regulation of the fisheries in British Columbia could be more fully understood in the context of the process of Indian reserve allotments.Similarly, the emergence of an Indian reserve geography could
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.403 | 0.211 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".