E-MUDARABA SUGGESTED SYSTEM FOR ISLAMIC INVESTMENTS
Bibliographic record
Abstract
This paper initiates a new ideas, for technical proposal, to digitalize the traditional Mudaraba contract, with a very special proposal, provides an effective technical mechanism, to complete the process of managing the Mudaraba account, in accordance with the requirements of Islamic Shariah, regarding the Mudaraba rules, by providing variety of proposed technical options, covering the set-up of Mudaraba investment account, managing this account, through withdrawal and deposit operations, easily distribution of generated profits, ability to convert the account nature from investment to current account, and vice versa. As well as, simplifying the operations, with the ability creation of an electronic system instead of the complex traditional procedures, which used in the traditional management of Mudaraba accounts, the system considers strongly the Islamic banking regulations and rules which are essential to validate the Islamic banking transactions. Additionally, the system considered the required level of security in banking operations, by introducing a mechanism to secure the operation from any potential threatens.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.056 | 0.020 |
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".