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Record W2030652659 · doi:10.1353/tlj.2007.0020

The Contextual Turn: Iacobucci's Legacy and the Standard of Review in Administrative Law

2007· article· en· W2030652659 on OpenAlexaffvenueabout
Lorne Sossin, Colleen M. Flood

Bibliographic record

VenueUniversity of Toronto Law Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of OttawaYork University
Fundersnot available
KeywordsDeferenceSupreme courtStandard of reviewStatutory lawJurisprudencePolitical scienceLawAdministrative lawScrutinyJudicial reviewContext (archaeology)Economic JusticeLaw and economicsSociology

Abstract

fetched live from OpenAlex

No judge of the Canadian Supreme Court in a generation can claim the same level of influence over the development of administrative law as Justice Frank Iacobucci. His influence is particularly visible in the context of the standard of review: the degree of scrutiny a court will employ in reviewing an administrative decision. The standard of review raises the dilemma of how courts may simultaneously respect the legislative choice to delegate certain executive decision making to expert bodies and ensure that such bodies respect the limits of their statutory authority and the broader constraints imposed by the rule of law. Courts have long been tempted to treat administrative boards and tribunals as inferior beings. Furthering the legacy of John Willis, Justice Iacobucci’s salient contribution has been to focus on the expertise of administrative agencies relative to the courts and to demand deference on the part of the courts.Here we explore unresolved tensions in the standard of review in Canadian jurisprudence and Justice Iacobucci’s efforts to piece the puzzle together. In response to the need for great contextual analysis, Justice Iacobucci developed a third standard of review (reasonableness simpliciter). In so doing, he embraced the challenge of complexity through attention to context. He was, however, reluctant to extend this contextual approach to its natural conclusion because of a concern that such a path may provide cover for courts to show less rather than more deference to administrative decisions. We argue, whilst appreciative of his reservation, that the Supreme Court now needs to complete the contextual turn that Justice Iacobucci adroitly instigated and navigated during his tenure on the Court.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.976
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.319
Teacher spread0.291 · 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.

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

Citations1
Published2007
Admission routes3
Has abstractyes

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