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Record W2257981024

Smith and the Supreme Court: Implications for Sentencing Policy and Reform

2008· article· en· W2257981024 on OpenAlexaffabout
Kent Roach

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSupreme courtProportionality (law)Political sciencePunishment (psychology)LawSentencing guidelinesReform ActCharterVisionSentenceCommissionSociologyPsychology
DOInot available

Abstract

fetched live from OpenAlex

The Supreme Court of Canada does not often address matters of sentencing policy because of its practice of not hearing appeals on the fitness of sentences and generally leaving sentencing matters to lower courts. When the Court does address such matters, its pronouncements should be carefully examined. In R. v. Smith, the Court struck down a seven-year mandatory minimum sentence for importing narcotics as cruel and unusual punishment under section 12 of the Canadian Charter of Rights and Freedoms. All the judges accepted the general notion that a grossly or excessively disproportionate sentence constitutes cruel and unusual punishment, but the various opinions issued reflect the difficulty of imposing overarching principles and purposes on matters of sentencing policy as well as differences of opinion on the role courts should play in imposing constitutional limitations on punishments. The visions of sentencing policy put forth in Smith and the implications of the plurality's ruling are especially important now that the Canadian Sentencing Commission has released its report and, comprehensive sentencing reform is very much a live issue in Canada.The first part of this essay assesses the Supreme Court's decision in Smith. The second part of this essay examines some of the implications of Smith for sentencing reform. Most importantly, Smith represents a constitutional concern about the effects that punishment will have on particular offenders. Finally, the last part of this essay will critically evaluate various visions of proportionality and the role that proportionality review can play in a reformed sentencing structure.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.031
GPT teacher head0.326
Teacher spread0.295 · 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 designTheoretical or conceptual
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

Citations4
Published2008
Admission routes2
Has abstractyes

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