Bibliographic record
Abstract
Dr. Muhammad Tahir Mansoori, eminent Scholar of Islam, has written several books on different topics of Islamic Law In addition to his Research Articles. Dr Mansoori has taught and written on Fiqh and Usool-e-Fiqh matters for over two decades. He wrote a book Family Law in Islam) Theory and Applications (This book is a systematic exposition of Shari’ah rules of Muslim marriage contract on which family organization is structured. It explains legal injunctions on important issues of marital relations and family organization. This research explores and investigates the ideals and precepts on marriage and divorce both in classical jurisprudence as well as in the modern legal codes of personal status of Muslim countries. This research highlights areas of tension between the classical jurisprudence and the modern legislation on a number of issues of Islamic Family Law. The concerned book has different chapters which are related to married life i.e Dower, contract of marriage, duties and obligations of spouse, Maintenance, Dissolution of marriage, Talaq, Khula, Iddat, Raju, Custody and care of children. In this article we have discussed concepts of dissolution of marriage, Talaq, its procedure, Types, Expression of Words, its legitimacy, Dower and viewpoints of jurists about it. The purpose of this study is to introduce conjugal rights in Islamic perspective which will be beneficial to understand the sensitivity of married life. Theoretical frame work is literature review of the book of Dr. Tahir Mansoori i.e Family Law in Islam, Quranic Verses and Hadith
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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 | 0.002 |
| 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) | 0.963 | 0.974 |
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".