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Record W2287521374

Chief Justice Lamer and Policy Design at the Supreme Court of Canada

2009· article· en· W2287521374 on OpenAlexaffabout
Adam M. Dodek

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSupreme courtLawCharterPolitical scienceEconomic JusticeMajority opinionOriginal jurisdictionCourt of recordCertiorariLegislatureCourt of equityJudicial reviewJudicial independence
DOInot available

Abstract

fetched live from OpenAlex

Antonio Lamer was a remarkable figure in the annals of Canadian law. No other Supreme Court Justice bridged the two constitutional eras, pre and post-Charter, as he did. He was the only Justice to have participated in both the Patriation Reference (1981) and the Quebec Secession Reference (1998), arguably two of the most important cases in the Supreme Court’s history. Chief Justice Lamer was a staunch defender of the independence of the judiciary in both principle and practice. During his tenure as Chief Justice, attacks on the Court’s “judicial activism” became more frequent and more strident. While he accepted the public’s right to criticize the Court’s judgments, he refused to accept the underlying premise of many of the attacks - that the Court had engaged in a power grab vis a vis the other branches of government. He frequently spoke out against such attacks and worried about their impact on individual judges as well as on the judiciary as an institution. In this paper, I sidestep the debate over judicial activism by analyzing the Supreme Court’s decision making through a different lens - that of policy design. I purposely eschew a discussion of judicial activism because I believe that it has become less and less useful analytically over the course of the Charter’s history. It is widely accepted that the Charter significantly increased the Court’s policy-making role. This article examines one aspect of the Supreme Court’s policy making function - policy making as it relates to the legislative branch of government. Chief Justice Lamer’s influence in the area of criminal law policy is well-covered by others. In this paper, I address the question of how and why the Supreme Court engaged in “policy design” which is a heightened form of policy making. Policy design involves not only making a determination as to a particular policy choice, or constructing a framework for the exercise of policy choices but also selecting the specific means by which a policy will be delivered. Policy design is most commonly seen in legislation and colloquially we often talk about “the legislative scheme” under which a particular policy operates. In this paper, I analyze several of Chief Justice Lamer’s judgments through the prism of policy design. I use these cases to show that judicial policy-making is a multi-faceted endeavour. The selected cases demonstrate that there are different levels of policy making. In my analysis, I show how judicial policy making interacts with legislative policy making and I attempt to explain and evaluate the impact of that judicial policy making.

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)0.024
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 score0.714
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0490.015
Scholarly communication0.0210.003
Open science0.0040.003
Research integrity0.0110.009
Insufficient payload (model declined to judge)0.0100.001

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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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
Published2009
Admission routes2
Has abstractyes

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