The Difficult Progression of the Rights of Canada's Indigenous Peoples and the Obligation of Fiduciary Duty Indigenous Rights in the Canadian Legal Context
Bibliographic record
Abstract
<div class="page" title="Page 3"><div class="layoutArea"><div class="column"><p><span>Sukhraaj Singh Shergill is a recent graduate from the University of Waterloo’s Bachelor of Arts Co-op Program. Graduating with he continues to follow his passions in legal analysis, policy development, human rights, Indigenous issues and fiscal management. Just shy of celebrating three years of experience dealing with Indigenous issues as a member of the Federal Public Service, he hopes to combine his passions and use his degree to affect efficient policy and legal reform as a human rights lawyer or continue as a Federal Public Servant. Following his second publication with the University of Waterloo Legal Studies Undergraduate Journal, he begins his pursuit of his Juris Doctor Degree at the Bora Laskin Faculty of Law at Lakehead University in September 2017. </span></p></div></div></div>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".