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Record W2806450971

Shifting the Balance of the Oakes Test from Minimal Impairment to Proportionality of Effects

2017· article· en· W2806450971 on OpenAlexaffabout
Marcus Moore

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProportionality (law)AdjudicationRationalityCharterJurisprudenceSupreme courtPolitical scienceLawLaw and economicsPositive economicsSociologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

The judgment of the Supreme Court in R. v. K.R.J. reflects an important potential change in the way proportionality analysis is conducted in the review of constitutional rights limitations under Canada’s Oakes test. Previously, most cases came down to the “Minimal Impairment” stage of Oakes. Its dominant role is challenged by KRJ, which places new weight on the subsequent and final “Proportionality of Effects” step. A permanent shift in the focus of the test to the Proportionality of Effects inquiry would be a landmark change in the thirty-year history of proportionality in Canada. The shift does not appear crafted to modify the substantive threshold for justifying rights limitations. Rather, it addresses conceptual issues with the way the test was previously applied. It is apt to accomplish these conceptual goals, enhancing the rationality and conceptual coherence of the justification jurisprudence. Also encompassed by the change, enhanced transparency of proportionality decisions is another benefit when considered in isolation, but is part of a larger issue of the appropriate style of judicial reasoning in Charter adjudication, a longstanding debate that is likely to continue. The potential change raises other important questions. Addressed here are how to understand different formulations of the Proportionality of Effects inquiry, the future division of labour between Minimal Impairment and Proportionality of Effects, and the impact of the change on well-known controversies concerning evidence in justification determinations. While this and other matters remain to be worked out, all in all, KRJ’s shift in emphasis within the Oakes test from Minimal Impairment to Proportionality of Effects constitutes a step in the right direction.

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)0.068
metaresearch head score (Gemma)0.127
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.093
Threshold uncertainty score0.357

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.127
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.001
Science and technology studies0.0050.050
Scholarly communication0.0150.016
Open science0.0060.008
Research integrity0.0100.029
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 head0.015
GPT teacher head0.314
Teacher spread0.299 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations1
Published2017
Admission routes2
Has abstractyes

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