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Record W3122108025 · doi:10.1111/1475-679x.00027

Evidence About Auditor–Client Management Negotiation Concerning Client’s Financial Reporting

2001· article· en· W3122108025 on OpenAlexaff
Michael Gibbins, Steven E. Salterio, Alan Webb

Bibliographic record

VenueJournal of Accounting Research · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of WaterlooUniversity of Alberta
Fundersnot available
KeywordsNegotiationAuditAccountingSample (material)BusinessPolitical science

Abstract

fetched live from OpenAlex

We develop a model of auditor‐client accounting negotiation, using the elements of negotiation examined in the behavioral negotiation literature, elaborated to include accounting contextual features indicated in the accounting literature and suggested by interviews with senior practitioners. We use a questionnaire structured according to the model to describe the elements, contextual features and associations between the two groups in a sample of real negotiations chosen by 93 experienced audit partners. The paper demonstrates important aspects of the sampled accounting negotiations and makes suggestions for further empirical and model development 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.059
metaresearch head score (Gemma)0.261
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0590.261
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0050.008
Scholarly communication0.0080.007
Open science0.0030.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.077
GPT teacher head0.343
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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

Citations498
Published2001
Admission routes1
Has abstractyes

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