Bibliographic record
Abstract
First, I would like to thank Leonid and Paul for inviting me to contribute to this symposium. Reading up on Dunsmuir and its legacy has expanded my horizons on administrative law and introduced me to great Canadian legal scholarship. My sense is that Canadian administrative law scholars are engaged in important conversations with their counterparts in Australia, New Zealand, and the U.K., whereas U.S. scholars, per usual, are doing their own thing. For reasons I discuss below, that separation may make some sense. But I am also convinced that further conversation between these wings of Anglo-American public law is important, for we are all struggling with the tension between the supremacy of law and the need for sound, politically responsive policy in a complex world. To keep within the space allotted, I will focus on only one of the many comparative angles, namely the extent of correctness review in our two systems. (On the U.S. end, I will only be discussing federal administrative law, not the law governing review of agency action in state governments.) Dunsmuir, especially as interpreted in Edmonton East, indicates a broad presumption against review for correctness. The exception for general legal questions of substantial importance is narrow, deference on Charter interpretations has taken a bite out of the exception for constitutional questions, and jurisdictional review is withering away. As indicated by the 5-4 vote in Edmonton East, however, this broad presumption of reasonableness is controversial, and there is some indication that a return to contextual factors will defeat a strong, rule-like presumption of reasonableness review.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.009 |
| Scholarly communication | 0.021 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".