The Composition of Independent Board of Commissioner and Number of Board of Commissioner Meeting Towards Fraudulence of Financial Report (Empirical Study at Public Company Listed at Indonesia Stock Exchange in 2011-2017)
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
This study aims to obtain empirical evidence about the effect of corporate governance mechanisms on fraudulent financial reporting. The variables of corporate governance used are independent board composition, frequency of board commissioner meetings, and external auditor quality as moderating variables between the influences of independent board composition, number of board of commissioners meetings against fraudulent financial reporting. The population of this study was public companies listed on the Indonesia Stock Exchange in 2011 - 2017. The total samples of this study were 76 companies, consist of 38 companies reported committing fraudulently financial statements and 38 companies that did not cheat financial statements. Data analysis was carried out by descriptive analysis, crosstab and hypothesis testing using the logistic regression method. The results of this study indicate the composition of the independent board of commissioners and the frequency of board of commissioners meetings has a significant and negative effect on the fraudulent financial report. Also, the quality of external auditors can strengthen the influence of the composition of the independent board of commissioners and the number of board of commissioners meetings on the fraudulent 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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