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Record W1952198423 · doi:10.60082/2563-8505.1235

From Smith to Smickle: The Charter’s Minimal Impact on Mandatory Minimum Sentences

2012· article· en· W1952198423 on OpenAlexaffabout
Debra Parkes

Bibliographic record

VenueSupreme Court law review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCharterConstitutionalityScrutinySupreme courtLawPolitical scienceSubject (documents)Economic JusticeLaw and economicsSociologyComputer science

Abstract

fetched live from OpenAlex

This paper attempts to assess the impact that the Canadian Charter of Rights and Freedoms has had, and may have in the near future, on mandatory minimum sentences and their proliferation in Canadian law. To answer those questions, the paper will first briefly review the Supreme Court case law on the constitutionality of mandatory minimum sentences. The next two sections will outline the approach taken in the recent Smickle decision, in which a mandatory minimum sentence was declared invalid under the Charter, and will argue that courts should subject the purported goals, justifications and impacts of mandatory minimum sentences to a more searching form of Charter scrutiny as we enter the fourth decade of the Charter’s operation.

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)0.012
metaresearch head score (Gemma)0.046
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 score0.797
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0120.023
Scholarly communication0.0100.007
Open science0.0020.004
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0060.000

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 head0.062
GPT teacher head0.378
Teacher spread0.315 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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