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Record W2387780781 · doi:10.21991/c9qh45

Distant Echoes: Discussing Judicial Activism at Canadian and American Supreme Court Nomination Hearings

2016· article· en· W2387780781 on OpenAlexvenueaboutno aff
Oliver Fitzgerald

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNominationSupreme courtLawPolitical scienceEconomic JusticeJudicial activismSupreme Court DecisionsJudicial review

Abstract

fetched live from OpenAlex

This paper begins by tracing Canadians’ concerns about judicial activism. Part II surveys how academics, commentators, and others have reacted to perceived overreaches by Canada’s highest court over time. By evaluating the comments made by Justices Marshall Rothstein, Michael Moldaver, Andromache Karakatsanis, and Richard Wagner at their nominee hearings, Part III shows the paucity of official public discussion on the topic. Changing countries, Part IV explains how judicial activism has been canvassed recently in American Supreme Court nomination hearings; this part assesses how the topic has been addressed during and since Chief Justice John Roberts’s confirmation hearing in 2005. Part V analyzes Justice Nadon’s comments and demonstrates how they depart from Canadian precedent and towards a deeper, more American focus on the topic’s vagaries. Part VI concludes with some thoughts on what Nadon’s comments may portend should televised ad hoc committee hearings for Supreme Court nominees be restarted.

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)0.010
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.113
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0630.015
Scholarly communication0.0160.004
Open science0.0030.004
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0070.000

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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 designQualitative
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
Published2016
Admission routes2
Has abstractyes

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