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Record W2800375187 · doi:10.24908/fede.v19i1.8634

The Impact of the Supreme Court of Canada on Intergovernmental Relations

2018· article· en· W2800375187 on OpenAlexaffvenueabout
Benjamin Goldlist

Bibliographic record

VenueFederalism-E · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSupreme courtPolitical scienceLawAdjudicationFederalismLegitimacyPolitical questionPoliticsJurisprudenceLegislatureNegotiationSeparation of powersOriginal jurisdictionCourt of recordLaw and economicsSociology

Abstract

fetched live from OpenAlex

The role of the Supreme Court in the practice of Canadian federalism, specifically the extent of its power and the effects of that power, is a hotly contested issue in Canadian political science. While some scholars have argued that the Court has taken on too political of a role that must be restricted, this paper develops the Court as a constitutional ‘umpire,’ whose rulings serve the important, but limited, functions of allocating political resources to incentivize negotiation, and establishing jurisdictional boundaries for said negotiations, leaving specific policy decisions to political, as opposed to legal, actors. Concerning the net outcome of the Court’s jurisprudence on the distribution of legislative powers, this paper illustrates the Court’s overall balancing approach, with grants of power to one level of government met with increases in authority to the other, in all major policy areas. Thus, ultimately shown to embrace both a limited and impartial approach to constitutional adjudication, the Court has done much to enhance its democratic legitimacy and constitutional utility.

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)0.036
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 score0.237
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.036
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0310.015
Scholarly communication0.0160.004
Open science0.0030.005
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0100.000

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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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
Published2018
Admission routes3
Has abstractyes

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