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Record W2072706969 · doi:10.3138/utlj.60.1.109

DEMOCRATIC OBJECTIONS TO STRUCTURAL JUDICIAL REVIEW AND THE JUDICIAL ROLE IN CONSTITUTIONAL LAW

2010· article· en· W2072706969 on OpenAlexvenueno aff
Adrienne Stone

Bibliographic record

VenueUniversity of Toronto Law Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJudicial reviewFederalismLawJudicial activismPolitical scienceConstitutionJudicial independenceSeparation of powersDemocracyLegislatureArgument (complex analysis)Law and economicsJudicial interpretationConstitutional lawSociologyPolitics

Abstract

fetched live from OpenAlex

This article revisits my argument that structural judicial review – judicial review of those provisions of a constitution that establish the basic structure of government and divide power between the constituent parts of a federation – is vulnerable to the objection from democracy and defends that claim against arguments made by Jeffrey Goldsworthy and others. First, I deny that the democratic objection to judicial review can, by virtue of its commitment to respect for rights, be wielded only against rights review: on the contrary, I argue, it applies where judges have the power to interpret and enforce constitutional provisions or principles that are uncertain in their scope and which therefore require judges to make evaluative judgments in the face of reasonable disagreement. Structural judicial review routinely involves judges’ making, or reaffirming, choices of just this kind. Second, I deny that federal judicial review is immune from the objection either because it constitutes only a weak form of judicial review or because judicial review is a necessary attendant of federalism: on the contrary, federal judicial review requires judges to choose between contested conceptions of federalism in a manner not susceptible to legislative revision. In addition, I argue, there are institutional structures that would allow for the resolution of federal disputes without begging the question at the heart of federalism. Finally, I deny that judicial review of legislative procedures, of requirements establishing an independent judiciary, or of federal anti-discrimination norms (categories identified by Goldsworthy) create practically significant exceptions to my claim.

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
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.959
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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 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

Citations18
Published2010
Admission routes1
Has abstractyes

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