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Record W2521785320 · doi:10.2308/jeta-51593

Determinants of the Readability of SOX 404 Reports

2016· article· en· W2521785320 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

VenueJournal of Emerging Technologies in Accounting · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of CalgaryUniversity of GuelphUniversity of Waterloo
Fundersnot available
KeywordsReadabilityAuditAccountingIndex (typography)BusinessAssociation (psychology)Sign (mathematics)PsychologyComputer scienceWorld Wide WebMathematics

Abstract

fetched live from OpenAlex

ABSTRACT This study examines SOX 404 reports with fiscal year-ends between 2004 and 2014 to determine their readability as measured by the FOG Index. We investigate the association between readability and company characteristics, auditor type, opinion type, time period, report content, and report length. We find that the sign and significance of certain associations depend on whether the reports contain material weaknesses. Overall, results show that management's reports are more readable than auditor's reports; longer reports are more readable—contrary to findings for other corporate communications such as 10-Ks; reports of Big 6 firms are less readable than non-Big 6 reports. Interestingly, the Big 4 firms differed in the readability of their reports. Data Availability: Data are available from sources identified in the text.

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)0.047
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.047
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.010
GPT teacher head0.240
Teacher spread0.229 · 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