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Record W2787245113 · doi:10.3138/utlj.2017-0030

Overcoming Dicey in administrative law

2018· article· en· W2787245113 on OpenAlexvenueaboutno aff
Kevin M. Stack

Bibliographic record

VenueUniversity of Toronto Law Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsDeferenceAdministrative lawLawJudicial deferencePolitical sciencePublic lawDelegationLegislatureJudicial reviewAccountability

Abstract

fetched live from OpenAlex

Matthew Lewans’s and Adrian Vermeule’s books demonstrate the triumph of a Thayerian approach to administrative law, which sees legal interpretation as a shared enterprise, over a Diceyian one, which views it as the exclusive province of courts. Their historical, comparative, and analytic treatments expose the depth of the institutional settlement in the United States and Canada in which courts have come to accept that the functional reasons for legislative delegation to administrative agencies – some combination of the agencies’ greater expertise, specialization, capacity, flexibility, and accountability – also justify judicial deference. These demonstrations reveal how much of our accumulated legal developments resurgent Diceyian critics of the administrative state and administrative law seek to cast aside. While largely fellow travellers, these books hold different lessons about the scope and grounds of law. For Vermeule, the diminished place of courts amounts to a larger abnegation of law. But the retreat of courts entails a retreat of law only if one holds on to an identification of law with the courts. In contrast, for Lewans, legitimate judicial deference to agencies is conditioned on agencies complying with the rule-of-law values of fair process and public reason giving. As a result, for Lewans, judicial deference does not mark a diminution of law but, rather, an occasion for judicial enforcement of legal values that apply independently of administrative agencies. These books thus leave us to ask: does law diminish as courts recede or does it still inhere, perhaps even more urgently, in administrative bodies?

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.034
GPT teacher head0.310
Teacher spread0.277 · 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; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations7
Published2018
Admission routes2
Has abstractyes

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