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Record W3125005694 · doi:10.14288/bcs.v0i162.270

Wrestling with Punishment: The Role of the BC Court of Appeal in the Law of Sentencing

2009· article· en· W3125005694 on OpenAlexaff
Benjamin L. Berger, Gerry Ferguson

Bibliographic record

VenueBC Studies: The British Columbian Quarterly · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsYork University
Fundersnot available
KeywordsLawCriminal justicePunishment (psychology)Criminal lawPolitical scienceAppealJuryWrongdoingCriminologySociologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Sentencing is often portrayed, in the media, as a postscript to the real stuff of criminal justice: the investigation and trial of crime. To be sure, if one is looking for drama, it is most readily found in the excitement of the investigative process or the stylized thrust and parry of the adversarial criminal trial. Yet, as is the case in so many areas of the law, it is the remedial dimension of the law – its “business end” – that discloses most about its nature. It is in fact the law of sentencing that provides the most direct window into the theories and assumptions animating the criminal justice system as a whole. Equipped with a broad range of forms and durations of punishment, the sentencing judge is asked to craft a just and effective sanction. But any assessment of the justice and efficacy of a sentence presumes an orienting point by reference to which a judge can set his or her sentencing compass. This orienting point depends upon social views about the nature of individual responsibility and just and appropriate collective responses to wrongdoing. As views on these matters shift, so too do the practices of sentencing. With this in mind, it is remarkable that sentencing has been and continues to be a relatively “lawless” practice. Historically, little legislative guidance has been available to the sentencing judge on either the aims and purposes of criminal punishment or the fit form and quantum of punishment for given offences, apart from the comparatively few instances in which Parliament has prescribed a minimum sentence. The 1995 amendments to the Criminal Code appear to speak to this absence of guidance, listing the aims and principles that should guide sentencing; but this list has amounted to just that – a kind of buffet of objectives

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)0.015
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.601
Threshold uncertainty score0.794

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.074
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0280.039
Scholarly communication0.0310.011
Open science0.0040.007
Research integrity0.0190.022
Insufficient payload (model declined to judge)0.0100.002

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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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 designQualitative
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
Published2009
Admission routes1
Has abstractyes

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Same venueBC Studies: The British Columbian QuarterlySame topicCriminal Justice and Corrections AnalysisFrench-language works237,207