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Record W3164353822 · doi:10.1080/09638180.2021.1924813

New Directions in Auditing Research: Conceptual Repair, Technological Disruption(s), Local Professional Governance and the Battle for Inclusivity

2021· article· en· W3164353822 on OpenAlex
Bertrand Malsch, Brendan O’Dwyer

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

VenueEuropean Accounting Review · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsQueen's University
Fundersnot available
KeywordsBattleAuditContext (archaeology)Corporate governancePerspective (graphical)AccountingBusinessPublic relationsConceptual frameworkPolitical scienceEngineering ethicsSociologyEngineeringComputer scienceHistoryFinanceSocial science

Abstract

fetched live from OpenAlex

In our call for papers for this special issue we sought to advance our understanding of auditing and the context in which it operates from a broad perspective. We also emphasized the role in-depth qualitative methods could play in this regard. The five special issue papers do not disappoint in addressing these aims. They tackle several themes underlying different levels of transformation in audit practice and the environment in which it operates. The papers offer in-depth, rich insights into real-world issues which draw on ‘sense-making’ theories to significantly advance our understanding of these transformations. The transformations addressed encompass: the concept of audit; new audit technologies; professional associations; and inclusiveness and diversity in audit teams. The papers’ focus on audit-related transformations is timely given that, in several European contexts, audit practice and the accounting profession are yet again being scrutinized and subjected to suggestions for regulatory reform. This forms part of a cycle whereby auditing, auditors and the accounting profession continually confront calls for changes seen as essential to securing stability and the protection of the public. We hope that the papers’ findings, interpretations and future-oriented focus will stimulate significant debate and inform future research. We review the four transformation-oriented themes pervading the papers below and draw on them to suggest a future research agenda.

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)0.006
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.888
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.040
GPT teacher head0.301
Teacher spread0.261 · 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