The principles of the rule of law and Charkaoui v. Canada (Citizenship and Immigration)
Bibliographic record
Abstract
This thesis attempts a detailed analysis of the Supreme Court of Canada's recent decision in 'Charkaoui v. Canada (Citizenship and Immigration), ' looking specifically at how unwritten constitutional principles can make a difference in cases that address the tension between constitutional norms and the exceptional demands of counter-terrorism law. I attempt to demonstrate how unwritten constitutional principles of the rule of law can inform our understanding of the flexibility of procedural rights and the substantive values that must be preserved, while giving courts a framework for responding to government attempts at subverting these norms in the name of national security. Nevertheless, I argue that the legitimacy of unwritten constitutional principles depends on a relatively restrained approach that seeks to elicit the content of these principles from within the legal tradition itself, eschewing freestanding or transcendental moral argument. (p.2).
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.019 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".