The Role of External Audit in View of Sudden Financial Collapses on the Jordanian Commercial Banks Sector
Bibliographic record
Abstract
The study aims to determine the role of external audit in view of sudden financial collapse son Jordanian commercial banks. To achieve this, the researcher designed a questionnaire consists of (40) paragraphs.The study results show that there is a statistically significant impact (the first hypothesis) of external audit on sudden financial collapses on Jordanian commercial banks. The value of the relationship between the two variables is 0.638 which is statistically significant, because calculated f value is equal to (75.31) which is statistically significant as (0.000) value, which is less than (5%).The study also indicates that there is a statistically significant effect (the second hypothesis) of external audit on the compliance of the audit profession rules on Jordanian commercial banks. The value of the relationship between the two variables is 0.615 which is statistically significant, because calculated f value is equal to (60.09) which is statistically significant as (0.000) value, which is less than (5%).The findings suggest that there is a statistically significant effect (the third hypothesis) of external audit on the detection of deception and fraud on Jordanian commercial banks. Where the value of the relationship between the two variables is (0.673) which is statistically significant, because calculated f value is equal to 91.07 which is statistically significant as (0.000) value, which is less than (5%).
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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 | 0.003 | 0.016 |
| 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 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".