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Record W4281629744 · doi:10.1111/1911-3838.12315

Making Disciplinary Information about Professional Accountants Available to the Public in Ontario*

2022· article· en· W4281629744 on OpenAlexaffvenueabout
Felix Odartey‐Wellington, Leslie J. Wardley

Bibliographic record

VenueAccounting Perspectives · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsCape Breton University
Fundersnot available
KeywordsTransparency (behavior)LegitimacyScrutinyPublic trustPublic interestAccountingDisciplineAccountabilityPublic relationsPolitical scienceConsistency (knowledge bases)BusinessPublic administrationLawPolitics

Abstract

fetched live from OpenAlex

Abstract The literature notes popular perceptions that accounting scandals are on the rise and that the accounting profession has a trust deficit. Following the unification of accounting designations in Canada in 2014, this paper draws on legitimacy theory and the practices of other professional bodies to examine how the accounting profession in Ontario communicates its accountability regime to build public trust and protect the interests of lay clients. It has been suggested that previous accounting disciplinary regimes lacked transparency to communicate member offenses to the public and thus protected members from public scrutiny. This study reveals that the Chartered Professional Accountants of Ontario has evolved its public awareness regime to create easier public access to member disciplinary details, thus engaging both pragmatic and moral legitimacy. However, more needs to be done to ensure consistency with the public interest objectives of maintaining public trust, transparency, and public awareness.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.006
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.253
Teacher spread0.231 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations2
Published2022
Admission routes3
Has abstractyes

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