Bibliographic record
Abstract
Ibn al-Mulaqqin-famous Shāfiʿī jurist, great Ḥadīth and Sīrah scholar Sheikh Sirāj al-Dīn Abū Ḥafṣ ʿUmar b. ʿAlī b. Aḥmad Ibn al-Mulaqqin (723–804/1323–1401), a writer of various voluminous volumes on variety of Islamic sciences mostly well-known prolific academic personality for his valuable scholarship in the field of ḥadīth, Sīrah, fiqh, history and Muslim mysticism. AlʿAsqalānī (d. 852 A.H.) the famous Egyptian scholar of Hadith and author of magnum opus “Fatḥ al-Barī”, was one of his disciple. While engaging himself in different academic aspects of hadith, he also penned down prolifically on numerous other aspects as well. He has been admired by his disciples and successors too like AlʿAsqalānī, al-, al-'Irāqī, and sibt al-ʿajmī and others high ranked scholars in Muslim history. This study deliberates historical approach to describe Ibn al-Mulaqqin’s biographical sketch along with his contribution towards Muslim scholarship. In the last phase of this article, special focus has been centered on his “Ghāyah al-Sūl fī Khaṣāiṣ al-Rasūl” by exploring his methodology in detail.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.978 | 0.981 |
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".