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Record W2904200191 · doi:10.2308/ajpt-52339

Consequences of Expanded Audit Reports: Evidence from the Justifications of Assessments in France

2018· article· en· W2904200191 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.

Bibliographic record

VenueAuditing A Journal of Practice & Theory · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAuditAccountingAudit evidenceQuality auditAccrualBusinessJoint auditWalk-through testAudit planAuditor's reportInternal auditActuarial scienceEarnings

Abstract

fetched live from OpenAlex

SUMMARY Since 2003, French auditors must disclose justifications of assessments (JOAs) in expanded audit reports. Like critical audit matters recently introduced in the U.S., and key audit matters introduced by international standard setters, the purpose of JOAs is to enhance the informative value of audit reports. Based on French audit reports from 2002 to 2011, we analyze the impact of first-time implementation of JOAs, and the impact of new JOAs in subsequent years, on investors (measured by abnormal returns and abnormal trading volume) and on the audit (measured by audit report lag, abnormal accruals, and audit fees). For both first-time implementation of JOAs and new JOAs in subsequent years, we find no significant market reaction to their disclosure and no significant effect on audit report lag, audit quality, and audit fees. Our results suggest that the French expanded audit report did not have the expected consequences on investors and the audit.

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)0.008
metaresearch head score (Gemma)0.133
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.133
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.003
Open science0.0010.000
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 head0.028
GPT teacher head0.313
Teacher spread0.285 · 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