Is Operational Control Risk Informative of Financial Reporting Deficiencies?
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.
Bibliographic record
Abstract
SUMMARY This study provides evidence concerning the significance of assessing operational control risk as part of an integrative evaluation of internal controls. We examine whether operational control risk indicators can be used as cues to potential unreported financial reporting control weaknesses and financial reporting deficiencies. We use data breaches and an operational control risk index, created through textual analysis of Form 10-Ks, as our two primary indicators of operational control risk. We find positive relations between our operational control risk indicators and future financial reporting control weaknesses, restatements, SEC comment letters, and audit fees, even after controlling for contemporaneous financial reporting control weaknesses. These findings suggest that operational control risk is informative of potential financial reporting deficiencies. Data Availability: Breach data are available subject to the approval of the Identity Theft Resource Center. All other data are publicly available from the sources identified in the article.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.477 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.008 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it