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Record W7146402651

The Failure to Enforce Criminal Law : Does it Impede the Development of Social Discourse on Important Policy Issues ?

2013· article· en· W7146402651 on OpenAlexaboutno aff
Peter Sankoff

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicJury Decision Making Processes
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal lawCriminal justiceDiscourse analysisGovernment (linguistics)Public discourseCivil discourse
DOInot available

Abstract

fetched live from OpenAlex

Conservative government led by Stephen Harper showing a particular determination to revamp and toughen Canadaʼs criminal justice system.3 Almost every year, a raft of new crimes has been added to the Criminal Code, 4 sentences for existing crimes have been augmented, 5 and a number of particularly controversial minimum mandatory penalties have been enacted.6 The government has made no secret of the fact that it sees the criminal law as a useful tool to reduce the incidence of undesirable practices across the Canadian landscape.7 Not surprisingly, criticism of this approach has come from a range of diff erent perspectives.Some suggest that the criminal law is ineff ective as a means of controlling behavior.8 Others have reacted negatively to the economic costs of these policies.9 Still others attack the so-called "war on crime" as a challenge to the liberty of citizens through the way it encroaches on the right to act freely where oneʼs act does not cause harm to others.10 All of these are legitimate areas of debate.I wish to raise a diff erent sort of critique about these developments however, one that focuses more upon whether it is a good idea to use the criminal law as a "fi rst response" to address certain types of social problems, especially where public opinion is divided about the legitimacy of the activity being addressed and there are scant resources to enforce the law being Overcriminalization: New Approaches to a Growing Problem, 102 J. Crim.L.

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)0.098
metaresearch head score (Gemma)0.211
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 score0.384
Threshold uncertainty score0.763

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.211
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0270.063
Scholarly communication0.0320.022
Open science0.0060.016
Research integrity0.0150.018
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 head0.029
GPT teacher head0.379
Teacher spread0.350 · 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
Published2013
Admission routes1
Has abstractyes

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