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Record W7005246824

Re-Charting the Remedial Course: Interest-Balancing and Alternative Remedies Post-Jordan

2017· article· en· W7005246824 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicColeoptera Taxonomy and Distribution
Canadian institutionsnot available
Fundersnot available
KeywordsRemedial educationSection (typography)Supreme courtJurisprudenceIdeal (ethics)
DOInot available

Abstract

fetched live from OpenAlex

In R v Jordan, the Supreme Court of Canada adopted a new framework for establishing violations of the right to be tried within a reasonable time under section 11(b) of the Charter. It did not, however, adopt a new approach to the remedy applicable thereafter. Since the 1987 decision R v Rahey, the only remedy for unreasonable delay has been a stay of proceedings. This article contends that this “automatic stay rule” must be revisited post-Jordan. It does so by conceptualizing Jordan as a shift from an “interest-balancing” framework—where individual and societal interests are weighed against one another—to a calculus largely devoid of interest-balancing. The first section of this article contends that, while this shift promises a host of practical benefits, the dearth of any interest-balancing under either Jordan or Rahey results in a reductive section 11(b) regime, which ignores case-by-case variations in factors that are plainly relevant to whether a given prosecution ought to be stayed. The second section of this article surveys existing interest-balancing remedial frameworks under the Charter, arguing that the interests removed in Jordan are otherwise considered to be, and ought to be re-introduced as, remedial factors. The third section addresses the practical effects of the automatic stay rule on Canadian society, accused persons, and section 11(b) jurisprudence itself. The fourth proposes that the rationale for the automatic stay rule is both problematic and obsolete, necessitating the adoption of a “corrective justice” approach to section 11(b) violations. The paper concludes by outlining how the ideal remedial framework would function.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.257
Teacher spread0.227 · 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 teacher head, not a consensus.

Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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