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Record W7124228793

Dunsmuir: A View from South of the Border

2018· article· W7124228793 on OpenAlexaboutno aff
Jeffrey A. Pojanowski

Bibliographic record

VenueeYLS (Yale Law School) · 2018
Typearticle
Language
FieldSocial Sciences
TopicProperty Rights and Legal Doctrine
Canadian institutionsnot available
Fundersnot available
KeywordsPresumptionDeferenceAdministrative lawCharterAgency (philosophy)Statutory lawConversationState (computer science)Constitutional law
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0270.002

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.

Opus teacher head0.022
GPT teacher head0.283
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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