Bibliographic record
Abstract
The Islamic commandments regarding the permissibility and impermissibility of something are divine, which _ according to the authentic faith of the Muslims _ cannot be changed by any human. In the modern industrial and scientific era, the identification of Halal (permissible) and Haram (impermissible) ingredients used in food products is a big Challenge for Muslims. Its clear example is the issue identifying ingredients labeled E-Numbers.All such ingredients are used in the production of food items, Cosmetics and Pharmaceuticals without any distinction of Halal and Haram. Therefore, it is the dire need of the time to assess these E-Numbers_ particularly the doubtful ones _ in the light of the principles given by the Islamic jurists. Besides, it is also obligatory to illustrate their sharia status. In this study, the analytical and comparative methods will be used in which the ingredients of all the critical ingredients (like Gelatin, Glycerin and Cochineal etc.) will be evaluated. The jurists' opinion will be discussed in detail. Besides that change of state and customary practice (Umoom-e-Balwa) will also be analyzed in this study to elaborate the lawfulness and unlawfulness of the critical ingredients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".