Bibliographic record
Abstract
This study aims to determine the effect of corporate governance as proxied by the Board of Commissioners, the Board of Independent Commissioners, the Board of Directors and the Sharia Supervisory Board on Financial Performance, through a connecting variable, namely Non Performing Financing (NPF). The sample of this research is using purposive sampling method. The population is 13 Islamic Commercial Banks in Indonesia. The samples obtained were 8 Islamic Commercial Banks. The data is obtained from the quarterly reports of each bank, namely the first quarter of 2017 to the second quarter of 2020. Data analysis and hypothesis testing methods use path analysis using panel data. The results of this study indicate that corporate governance as proxied by the Board of Commissioners, the Independent Commissioner, the Board of Directors and the Sharia Supervisory Board has no effect on financial performance and non-performing financing. This means that higher corporate governance does not affect financial performance or non-performing financing. In this study it was also found that non-performing financing has an effect on financial performance. If non-performing financing decreases, financial performance will increase. In addition, non-performing financing in this study cannot be an intervening variable for corporate governance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".