The Role of Islamic Leading Organizations for the Promotion of Islamic Finance in Western Countries
Bibliographic record
Abstract
The majority of the literature related to Islamic finance in the Western world is country related. They only examine the role of Islamic finance in a respective country according to its Muslim population. I would like to gather all these studies and give a comprehensive overview of opportunities and challenges, such as assets and liabilities driven, securitization and spread, that Islamic financial institutions face in the world and identify the role of leading Islamic Organizations, such as Accounting and Auditing Organization for Islamic Financial Institutions, Islamic Financial Services Board, Islamic International Rating Agency, International Islamic Financial Market, International Islamic Liquidity Management Corporation and Shariah Boards for the promotion of Islamic finance in western countries. This study also investigated what regulatory measures required to Western world, in order for Islamic finance to thrive and prosper in the Western world not only for Muslim but also for non-Muslim consumers. Furthermore, all those institutional changes, which make the financial transactions prohibited, have to be taken into consideration by major Islamic banking and financial organizations, for the promotion of Islamic finance attractive to non-Muslim consumers and compatible with the conventional financial system in the Western world?
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".