MétaCan
Menu
Back to cohort
Record W2991564388 · doi:10.1111/auar.12297

SMPs’ Strategic Responses to Conflicting Normative, Material and Client Constraints

2019· article· en· W2991564388 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

VenueAustralian Accounting Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsNormativeAuditAccountingObligationBusinessProcess (computing)External auditorQuality (philosophy)Public relationsPolitical scienceInternal auditLawComputer science

Abstract

fetched live from OpenAlex

Abstract The objective of this study is to understand how small and medium audit practices (SMPs) deal with the obligation to conform to evolving norms, given their limited resources and the fact that they serve a client base of mainly small and medium‐sized enterprises (SMEs). Semi‐structured interviews held with 36 respondents working in 33 SMPs revealed that the main response of some SMPs’ to conflicting normative, material and client constraints was to eliminate the normative constraints by exiting the field to which the constraints pertained. When this was impossible, they resorted to less radical strategies. All strategies eventually led to adverse effects, including loss of expertise by some firms and practitioners, a condition that exacerbates the fragmentation within the accounting profession. Disenchanted by an increasingly demanding normative environment, the majority of respondents dealt with their disillusionment by mechanically applying the updates, a process that can lead to lower audit quality. Although the accounting profession was attempting to overcome a confidence crisis by issuing the updates, it ended up ignoring its less visible members and thus triggered upheavals with potentially irreversible consequences. In addition, banks may have been involved in narrowing the audit market for SMPs.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.847
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.004

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 head0.279
Teacher spread0.252 · 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