Remedies for Unreasonable Administrative Action after Vavilov
Bibliographic record
Abstract
This article comments on Pepa v. Canada (Citizenship and Immigration), arguing that it departs from the Supreme Court's previous guidance on remedies in an unprincipled manner. The article outlines the remedial framework established in Canada (Minister of Citizenship and Immigration) v. Vavilov, traces its development over the past five years, discusses key departures from the general rule of remittal, and highlights the principles these departures reflect. It then examines the approach to remedies adopted in Pepa. This assessment shows that the Pepa majority's invocation of the "single reasonable interpretation" exception to the general rule of remittal departs from the core Vavilov values of restraint, deference, justification, and respect for administrative action. In this sense, Pepa does not fit the pattern of principled exceptions seen in earlier cases. Rather, it is a case in which remedial practice and principles are out of alignment. As a result, while Pepa is a strong example of persuasive reasonableness review, its application of the law of remedies should be read with caution.
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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 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.014 | 0.019 |
| 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".