Bibliographic record
Abstract
The 2014 Supreme Court of Canada Tsilhqot’in decision provides the first declaration of Aboriginal title to Canadian soil. Aboriginal title requires evidence of continuous, exclusive, and sufficient occupation of a territory. In the earlier trial before the British Columbia Supreme Court the Tsilhqot’in First Nations presented a substantial corpus of archaeological evidence to complement historical evidence, oral histories, and Tsilhqot’in testimony regarding the locations of Tsilhqot’in villages and the type and duration of their occupations. We examined this body of archaeological data in the context of the judicial proceedings to understand which data were considered favourably by the court and why. We found that the trial court accepted archaeological data as evidence of occupation on definite tracts of land at the time of sovereignty, agreeing with the Tsilhqot’in plaintiffs that the evidence met the legal standards for continuous and sufficient occupation. Because the Supreme Court Tsilhqot’in decision is the paramount statement on Aboriginal title, the treatment and consideration of archaeological data in that decision will likely set standards for and guide improvements to the applications of archaeological data in title cases.
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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 | 0.013 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.022 | 0.013 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".