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Record W1602893122

Auditor-Client Dependence in the Development of New Accounting Standards in Canada

2002· article· en· W1602893122 on OpenAlexaffvenueabout
Joe Abekah

Bibliographic record

VenueJournal of Comparative International Management · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsAccountingAuditPublic accountingBusinessBig FourProcess (computing)Accounting standardAccounting information systemFinancial accounting
DOInot available

Abstract

fetched live from OpenAlex

This study examines constituent participation in the accounting standards setting process in Canada to determine whether the positions of auditors and their clients relative to new accounting standards proposals are independent of each other. Using responses to the ten accounting exposure drafts receiving the highest public responses, the active role of Big Eight (now Big Five) firms is underscored. For all responses, significant agreement between Big Eight/Five auditors and their clients in their respective positions on proposed new accounting standards is found. However, domination of the process by Big Eight/Five firms through indirect influence of their clients' responses to individual exposure drafts is not supported. Disagreements among Big Eight /Five firms and between Big Eight/Five firms and their clients are found. Overall test results indicate that relative to the core issues on which new accounting standards are needed, auditors and their clients generally respond independently, even if there were some new proposals on which they had the same views. The findings suggest that independent corporate and audit-firm motivations explain the decision to participate in the accounting standards setting process. The real motivations for the active participation in the process by auditors and corporations are subjects for continued research.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.260
Teacher spread0.235 · 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 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

Citations0
Published2002
Admission routes3
Has abstractyes

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