Bibliographic record
Abstract
Human life is composed of stability and fluidity. Allah has made stability and change an essential part of this system of the universe. Therefore, the best life and the best system will be the one in which these two elements are present. A system which is not fundamentally stable and does not subtly accept change can never be amenable and permanent to human beings like if the universe were always the same color, the weather always the same, the day always the same. If there is day or night, this universe will become dull because the beauty of this universe is due to the changes and changes within it in view of this code, if we look at the Islamic system, we can see a clear difference between the early period of Islam and today's period, that is, the first four centuries were based on the same principle that in each period, the basic sources of sharīʿah were based on the circumstances. It used to be read in perspective, but then the Ummah became stagnant and the research done centuries ago was considered as the final word, due to which apparently sharīʿah and Islamic law started to look far behind the speed of time. Dr. Muhammad Iqbal was among those who realized this disturbing situation, so he emphasized on the modern understanding of the sources of Sharīʿah so that the Ummah could move out of decline and move towards the path of prosperity. In this paper, we will present a research review of Dr. Muhammad Iqbal's thoughts of a modern understanding of the sources of Sharīʿah.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.957 | 0.964 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".