Bibliographic record
Abstract
ohn A. Macdonald and Louis Riel are perhaps the only two figures in our history well-known to most Canadians.Although they never met, in 1870, they were the prime movers in bringing the West into Confederation.In the case of Manitoba Métis Federation Inc. v. Canada (A.G.), decided by the Supreme Court of Canada on March 8, 2013, the Court dealt with ramifications of the encounter on the plains 140 years ago between Canada, extending westward, and Riel's people, the Métis. 1 The Métis were a new nation, of mixed Aboriginal and European blood, which had arisen in the West, children of Indian women and French or Scottish traders.The Red River settlement, at The Forks of the Red and Assiniboine Rivers (now Winnipeg), was the largest community on the prairies with a population of about 12,000.Red River was a Métis settlement.There were approximately 10,000 Métis, 1,600 "whites" and 600 Indians. 2 At Confederation, in 1867, Canada was a medium-sized country of four provinces lying along the St Lawrence River and the Great Thomas R. Berger, O.C., Q.C., practises law in Vancouver at Aldridge + Rosling.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.034 | 0.016 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".