Bibliographic record
Abstract
Bill C-3, an effort to remedy the core defects of the prior immigration security certificate regime, cobbles together a potentially half-hearted “special advocate” regime and converts immigration law into a de facto system of indefinite limits on liberty for foreigners. The new system will generate an inevitable series of new constitutional challenges, some of which may succeed at the Supreme Court unless the deficiencies of Bill C-3 are cured by careful innovation at the Federal Court level. This paper explores these contentions. Part II of the paper provides a brief overview of the immigration security certificate regime and the core Charkaoui holding on the question of fair hearings. Part III canvasses the various models of “special counsel” the Supreme Court suggested might satisfy constitutional requirements under section 1 of the Charter. Part IV examines the policy and political environment in which Bill C-3 was the n developed, the nature of Bill C-3’s response to the core findings of the Charkaoui decision and the law-making process in Parliament. Part V the n turns to other features of Bill C-3, noting both changes that will likely prove important and other areas that will likely create new controversies, including the question of indefinite detention. The paper concludes that Bill C-3 represents an unsatisfactory waypoint in — rather than an ultimate culmination of — protracted constitutional debates over security certificates.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.014 | 0.018 |
| Insufficient payload (model declined to judge) | 0.002 | 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".