Developments in Administrative Law: The 2008-2009 Term -- Contemplating Legislative (Im)Precision
Bibliographic record
Abstract
This article examines two key administrative law decisions of the 2008-2009 Supreme Court of Canada term. Canada (Citizenship and Immigration) v. Khosa 2009 SCC 12 [Khosa] and Canada (Privacy Commissioner) v. Blood Tribe Department of Health 2008 SCC 44 [Blood Tribe]. Following on the footsteps of Dunsmuir, the landmark decision of 2008 that eliminated the patent unreasonableness standard, members of the Supreme Court of Canada in Khosa debated the proper interpretation of judicial review legislation. Specifically, the central issue in Khosa was whether subsection 18.1 (4)(d) of the Federal Courts Act provides a legislated standard of review that is equivalent to patent unreasonableness. While on one level, the debate of the Court focused on how to recognize and interpret legislated standards of review, its underlying theoretical premise engaged fundamental questions about deference, expertise, rule of law and how judicial review of administrative action may be appropriately placed within the broader spectrum of curial oversight.\nThe second decision, Blood Tribe, addressed the ability of the federal Privacy Commissioner to pierce solicitor-client privilege in order to examine documents during a routine investigation. Here, the Court determined that such power must be explicitly given in an administrative actor’s enabling statute. In this regard, this article argues that the Court's analysis in Blood Tribe shows hesitancy to embrace the very notion of contextualized judicial review that it proposes to follow in Khosa and more generally.
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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 | 0.015 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.025 |
| Scholarly communication | 0.025 | 0.005 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.013 | 0.016 |
| Insufficient payload (model declined to judge) | 0.002 | 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".