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Record W2018322449 · doi:10.7202/043805ar

Standards of Judicial Review : Is it Time to Change our Analysis ?

2005· article· en· W2018322449 on OpenAlexaffvenue
Julius H. Grey

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicOmbudsman and Human Rights
Canadian institutionsCanadian Bar Association
Fundersnot available
KeywordsMantraDeferenceInjusticeDisciplineJudicial deferenceLaw and economicsLawJudicial reviewPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

The notion of a pragmatic and functional analysis has become a mantra in administrative law, producing three technical standards of review, one of which is selected at the start of virtually every case. All technical concepts tend to outlive their utility and, it is suggested that the current one should now be reconsidered. There is no doubt that courts must apply different degrees of judicial deference to various types of decisions. However, just as the old distinction between judicial and administrative acts ceased to be helpful in most matters, without ever totally disappearing, the present categories are losing their utility and, if unmodified, might produce an unduly technical and formalistic system of law. It is, in particular, questionable whether these concepts work well in certain specific fields — in disciplinary law, for example and in disputes involving fundamental rights. The issue of „expertise“ in such matters is far from easy and may often generate injustice.

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 imitation

Not 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.

metaresearch head score (Codex)0.121
metaresearch head score (Gemma)0.281
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.642

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1210.281
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0070.005
Science and technology studies0.0060.058
Scholarly communication0.0250.040
Open science0.0060.007
Research integrity0.0160.033
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.024
GPT teacher head0.326
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2005
Admission routes2
Has abstractyes

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