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Record W2022031239 · doi:10.1506/60by-fe6w-w2mw-ur4x

CAP Forum on Enron: What If Andersen Had Shredded in Toronto or Calgary? The Potential Criminal Liability of Canadian Public Accounting Firms*

2004· article· en· W2022031239 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Accounting Perspectives · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsQueen's UniversityUniversity of Waterloo
Fundersnot available
KeywordsScrutinyLiabilityCriminal liabilityAccountingCriminal justiceLawPolitical sciencePublic accountingCriminal lawBusinessAudit

Abstract

fetched live from OpenAlex

ABSTRACT Both Canadians and Americans often assume that the legal system, like many other aspects of society, works the same in both countries. Just as these assumptions often fail to stand up to detailed scrutiny, so too may the assumption that Arthur Andersen LLP could have been charged with and convicted of obstruction of justice in Canada. In this paper, we examine the hypothetical question of what would have happened if a public accounting firm had shredded documents, fearing a provincial securities regulatory investigation in Toronto or Calgary. We examine the key differences between both the law and the institutional environment in Canada and the United States to determine whether such a prosecution could occur in Canada. We find that the letter of the law would probably have resulted in a successful prosecution. However, because of differences in the institutional environments, a criminal prosecution of a Canadian public accounting firm would probably never have occurred. The implications of this conclusion are discussed.

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.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.006
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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