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Record W2281490852

The Criminal Liability of Organizations for Economic Crimes

2014· article· en· W2281490852 on OpenAlexaboutno aff
Pierre-Christian Collins Hoffman, Guy Pinsonnault

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConvictionMens reaCommissionCriminal codeLawCriminal lawPolitical scienceScope (computer science)LiabilityBusiness
DOInot available

Abstract

fetched live from OpenAlex

La version francaise de cet article peut etre consultee au:http://ssrn.com/abstract=2500362 When Bill C-45 came into force in 2004, it introduced major modifications to the Canadian penal law system concerning the participatory liability of organizations for the commission of criminal offences. The main purpose of the Criminal Code amendments was to facilitate the conviction of organizations further to the commission of offences by its representatives, to induce them to do more to protect their employees and the public. Meanwhile, recent case law developments, more specifically the cases of R. v. Petroles Global Inc. and Canada v. Maxzone Auto Parts (Canada) Corp., demonstrate that, going forward, organizations will face a greater risk of criminal prosecution and conviction for the acts and omissions of their representatives, especially for subjective mens rea offences under the Competition Act and the Criminal Code. Although the changes made to the Criminal Code are now nearly 10 years old, it was only recently that the courts were called upon to analyze the effect and scope of the changes. In light of recent case law, this article discusses the impacts of the 2004 amendments in terms of subjective mens rea offences. In addition, this article analyzes and comments on the scope of the Bill C-45 amendments as they relate to economic offences and the participatory liability of organizations, the determination of the sentence, and the imposition of probation conditions suitable to organizations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.009
GPT teacher head0.231
Teacher spread0.222 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicRegulation and Compliance StudiesFrench-language works237,207