An Evaluation of the Distinguish Model of Islamic Banks: Historical Development and Unique Characteristics
Bibliographic record
Abstract
Islamic economic philosophy is as old as this universe exists in the light of Quran. The Shari’ah provides a methodology to people with reasonable degree of liberty in economic matters. Over the passage of time, Islamic economic theories are institutionalized in last quarter of the 20th century. On practical grounds, Islamic economic philosophy has been institutionalized with a wide range of financial product in compliance with Shari’ah. There are fundamental differences between conceptual models of Islamic banks versus conventional banks resulting with the differences in relationships, agency costs, contractual obligations, legal impacts, accounting treatments and their responses to monetary policy actions. The size of Islamic financial industry has been reached from $1.66 Trillion to $2.1 Trillion and expected to achieve the target of $3.4 Trillion by end of 2018. Hence, Islamic Finance assets are 1% of the global financial market of $127 Trillion in assets.”
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".