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Record W2577898723 · doi:10.1111/auar.12169

Does the Presence of Female Executives Curb Earnings Management? Evidence from Korea

2017· article· en· W2577898723 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 · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsMcGill UniversityMcMaster University
Fundersnot available
KeywordsEarnings managementAccrualAccountingGender diversityDominance (genetics)BusinessDiversity (politics)EarningsSample (material)Demographic economicsCorporate governanceEconomicsPolitical scienceFinanceBiologyLaw

Abstract

fetched live from OpenAlex

Abstract We investigate the role of female executives in curbing earnings management behaviour in Korea, a country known for its strong male‐dominant culture. In a sample of Korean firms from 2002 to 2010, we find that female presence in top management is negatively associated with discretionary accruals, suggesting that gender diversity in senior management deters opportunistic financial reporting even in a highly male‐dominant corporate environment. Further, this association is primarily observed in firms with stronger (weaker) female (male) dominance. This finding is consistent with the idea that female executives can exert more influence on corporate decisions in a more female‐friendly environment. These findings have implications for academics and practitioners seeking to understand the impact of the role of top executive gender diversity in corporate accounting practices.

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0030.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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