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Record W2069385049 · doi:10.2308/accr.2001.76.1.99

Do Auditors Objectively Evaluate Their Subordinates' Work?

2001· article· en· W2069385049 on OpenAlexaff
Hun‐Tong Tan, Karim Jamal

Bibliographic record

VenueThe Accounting Review · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAuditQuality (philosophy)Work (physics)PsychologySenior managementBusinessPublic relationsAccountingPolitical scienceEngineering

Abstract

fetched live from OpenAlex

In this study, we investigate whether audit managers' assessment of the quality of work their subordinates perform is influenced by the managers' prior impressions of these subordinates, and whether managers whom the firm considers outstanding are less susceptible to such an effect. We conduct an experiment using actual audit senior-manager teams. Each senior and manager participating in the experiment has been classified by his or her firm as either outstanding or average. Each manager is paired with two audit seniors (one outstanding senior and one average senior), and each evaluates the memos written by his or her paired seniors. Managers evaluate the quality of the memos twice: (1) first, with the identities of the seniors indicated on the memos, and (2) later, when the seniors' identities are not explicitly revealed. Results show that average managers evaluate memos written by outstanding seniors more favorably than those written by average seniors when they know the identities of the memos' authors, but not when the identities of the seniors are not revealed. Outstanding managers do not appear susceptible to this effect.

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 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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-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 score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.019
GPT teacher head0.251
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations122
Published2001
Admission routes1
Has abstractyes

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