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Record W4391600462 · doi:10.60082/2563-8505.1437

“Silly Anecdotes”: From White Baselines to White Juries in R. v. Chouhan

2023· article· en· W4391600462 on OpenAlexaffabout
Joshua Sealy-Harrington

Bibliographic record

VenueSupreme Court law review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsWhite (mutation)White paperArtPolitical scienceLawBiologyGenetics

Abstract

fetched live from OpenAlex

This paper explains how the Supreme Court of Canada’s decision in R. v. Chouhan concerning jury impartiality is an illustrative example of “baselines”, or how implicit political positions held by judges govern their legal analysis. It begins with a summary of the background in Chouhan: the issue before the Court (the abolition of peremptory challenges) and how the judgment resolved that issue by constitutionally vindicating the impartiality of systemically white juries (an unfortunate continuation of the Court’s widely critiqued judgment in Kokopenace). Then, the paper analyzes Chouhan through the lens of baselines. First, the paper uses Chouhan to describe what baselines are — that is, by examining both the judgment and hearing, the paper reveals how implicit political positions significantly drove the legal analysis in the case. And, given the political character of that baseline reasoning, the paper briefly critiques the Court in two ways: (1) it critiques Moldaver and Brown JJ. for relying on weak baseline positions, like juries already being diverse (they are not) or Canada not having intractable racial inequality (it does); and (2) it critiques the Court’s recent notice limiting intervention submissions to “legal” issues insofar as that limitation can, perversely, prevent interveners from challenging those weak baselines from which the Court may conduct its analysis. Second, the paper uses Chouhan to describe what baselines do — that is, by examining Moldaver and Brown JJ.’s opinion in Chouhan, the paper demonstrates how judges’ baseline commitments can motivate their reasoning and lead them to make analytical errors. In their opinion, Moldaver and Brown JJ. purport to defer to Parliament while nakedly legislating from the bench — indeed, they rule that their policy preference of ignoring race in jury selection should, “as a matter of law,” take precedence over Parliament’s preference for race-conscious processes. Further, Moldaver and Brown JJ. strawman both jury diversity and peremptory challenges to bolster their position. Specifically, when jurists argue for more jury diversity, Moldaver and Brown JJ. simply respond that no jury can be perfectly diverse, a fallacious response because doing something for jury diversity need not require doing everything. The paper concludes by noting how the continuing relevance of baselines in constitutional interpretation demands ongoing and critical reflection on how Canadian jurisprudence is routinely produced from a baseline of “silly anecdotes”: white subjectivity masquerading as universal objectivity, which institutionalizes white supremacy in law.

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)0.011
metaresearch head score (Gemma)0.042
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: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0240.014
Scholarly communication0.0090.007
Open science0.0010.008
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.060
GPT teacher head0.364
Teacher spread0.304 · 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
Published2023
Admission routes2
Has abstractyes

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