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Record W2094215945 · doi:10.2308/aud.2004.23.1.153

Getting Inside the Black Box: A Field Study of Practices in “Effective” Audit Committees

2004· article· en· W2094215945 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAuditing A Journal of Practice & Theory · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversité LavalUniversity of Alberta
Fundersnot available
KeywordsAudit committeeChief audit executiveJoint auditAuditAudit evidenceInternal auditInformation technology auditAudit planBusinessAccountingCorporate governanceExternal auditorPublic relationsWork (physics)Political scienceFinanceEngineering

Abstract

fetched live from OpenAlex

Although audit committees typically are considered a crucial corporate governance mechanism, knowledge is scant about the practices carried out in audit committee meetings. This paper provides insights into practices that audit committee members carry out in meetings, including the part of the meetings where members meet privately with auditors. The investigation was conducted via a field study in three Canadian public corporations—whose respective audit committees complied to a large extent with regulatory guidelines of the Toronto Stock Exchange and the voluntary recommendations of the Blue Ribbon Committee on audit committee effectiveness. Further, the three audit committees that we investigated are generally perceived as effective by the individuals who attend meetings. Our results highlight key matters that audit committee members emphasize during meetings, such as: accuracy of financial statements; appropriateness of the wording used in financial reports; effectiveness of internal controls; and the quality of the work performed by auditors. We also elicit the evaluation criteria that members use to assess written and verbal information submitted by managers and auditors. In addition, we found that a key aspect of the work carried out by audit committee members consists of asking challenging questions and assessing responses provided by managers and auditors.

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)0.011
metaresearch head score (Gemma)0.213
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.213
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.005
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.272
Teacher spread0.260 · 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