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Record W2136098520 · doi:10.7202/042489ar

Le contrôle judiciaire des erreurs de droit en présence d'une clause privative

2005· article· en· W2136098520 on OpenAlexaffvenueabout
Patrice Garant, Sylvio Normand

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsLawSupreme courtJurisdictionPolitical scienceStatuteFederal jurisdiction

Abstract

fetched live from OpenAlex

Administrative Tribunals have jurisdiction to deal with questions of law. In the exercise of such jurisdiction they may sometimes make mistakes in the construction of the statutes, regulations or other instruments. Even in the presence of a privative clause, an inferior tribunal should not be the supreme interpret of the law. It is one of the requirements of the « rule of law » that the Superior Court should have a supervisory « droit de regard ». Traditionally, only errors of law going to jurisdiction were out of the shield of the privative clause ; the Superior Courts used to restrain their intervention only after charactarizing the alleged error as « jurisdictional error of law ». Two difficulties came to arise from the approach about whether there exists an error of jurisdiction or one « merely » of law. Firstly, who can tell whether there is a genuine error of law. Secondly, what criteria transmute in the minds of Superior Court Judges an error into one of jurisdiction. The recent case law convinces us of the necessity of a different approach in order to achieve some clarity in this field of Administrative law. Mr. Justice Dickson of the Supreme Court of Canada hints at it in the Nispawin and the New Brunswick Liquor Corporation cases. This approach would put an end to the confusion that still prevail in other Supreme Court cases like Blanco or Labrecque. The distinction between errors of law going to jurisdiction and « merely » errors of law is unrational and so unpracticable that it should be abandoned and replaced by what we suggest in the following lines... Mr. Justice Robert Reid of the Ontario Divisional Court has also expressed the same concern in a remarquable judgment.

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)0.009
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.005
Scholarly communication0.0100.002
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0110.002

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 head0.016
GPT teacher head0.298
Teacher spread0.282 · 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 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
Published2005
Admission routes3
Has abstractyes

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