The Effect of Human Resource Investment in Internal Control on the Disclosure of Internal Control Weaknesses
Why this work is in the frame
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Bibliographic record
Abstract
SUMMARY This paper investigates the effect of human resource investment in internal control over financial reporting on the disclosure of internal control weaknesses at both the firm and the individual department level. Using a unique reporting requirement for Korean-listed firms, this study uses the ratio of the number of employees involved with the implementation of internal controls (hereafter, IC personnel) to the total number of employees of the firm as a proxy for a firm's human resource investment in internal control. We find that the proportion of IC personnel and the change of the proportion within the firm and several key departments are negatively associated with the disclosure of internal control weaknesses. We also find that a change in IC personnel is positively associated with the likelihood of remediation of the internal control weaknesses. These findings provide valuable insights into the role of human resource investment in determining the strength of a firm's internal controls over financial reporting.
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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 | 0.011 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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