A STYLISH COMPARISON OF THE COMMENTS WRITED ON THE AL-UMDE OF EBU'L-BEREQAT EN-NESEFI (D. 710/1310)
Bibliographic record
Abstract
His full name is Abdullah b. Ahmed b. Mahmud, his soubriquet is Hâfızüddin, and his identity is Ebü'l-Berekât. He was given the title of 'an-Nasafi' in relation to the place where he was born. He was born in the city of Nesef, which is located near Bukhara, Uzbekistan and is known as "Karşı". Although the exact date of his birth is unknown, his teacher, with whom the tabakat books are allied, is Muhammed b. The mention of Abdüssettâr al-Kerderî's date of death as 642/1244 gives us Ebü'l-Berekât en-Nesefi's birth date as VII. It is predicted that it may be in the first quarter of the century. Nesefî, whose life we do not have much detailed information about, according to the information in his biography books, after receiving his scientific education, he worked as a professor in the Kutbiyye-Sultaniyye madrasahs in Kirman. Nesefi, who worked as a professor here for many years, came to Baghdad in 710 and on the way to returned back in the same year, and died in İzec and buried there. Although he is not only a famous scholar mostly in the fields of fiqh and fiqh methodology, but also he received the same attention in the field of kalam. As a matter of fact, the kalam text book named al-Umde, which he wrote was inspired by Ebü'l-Muîn en-Nesefî's al-Akaid, has been taught in madrasas for years and has been the bedside book of those who have just started the science of kalam. Since then, many scholars, especially the author himself, have conducted commentary, annotation and poetic research on this work. In this article, after providing information on al-Umde's commentary on Ebü'l-Berekât en-Nesefî, we review the analysis and comparison of this study in terms of style and sequence.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.054 | 0.024 |
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".