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Record W1489276393

Restraint and Proliferation in Criminal Law

2010· article· en· W1489276393 on OpenAlexaffabout
Jula Hughes

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of New BrunswickUniversity of Fredericton
Fundersnot available
KeywordsCriminalizationCriminal lawLawPolitical scienceMandateConstitutionPoliticsCriminal procedureLaw and economicsSociology
DOInot available

Abstract

fetched live from OpenAlex

This paper considers why the criminal law continues to grow despite broad-based policy consensus on the harms of over-criminalization. I argue that political expediency combines with the Canadian constitutional arrangement under ss. 91 and 92 of the Constitution Act, 1867 to drive the expansion of Canadian criminal law. The federal power to criminalize and the provincial responsibility for enforcement amounts to a constitutionally directed unfunded mandate. In a case study of the Westray Bill, the paper examines the political mechanisms and institutional forces that further the expansion of the criminal law and that result in ineffective, inefficient and ultimately harmful prohibitions. The paper concludes that it is legitimate to invoke the constitutional power of the courts to limit the scope of the criminal law and shows how this can be achieved without abandoning established constitutional and criminal law principles and precedent.

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)0.004
metaresearch head score (Gemma)0.015
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: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0090.050
Scholarly communication0.0100.008
Open science0.0020.008
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.017
GPT teacher head0.314
Teacher spread0.297 · 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
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
Published2010
Admission routes2
Has abstractyes

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