THE LIFE AND SCIENTIFIC HERITAGE OF ABUL BARAKAT NASAFI
Bibliographic record
Abstract
Abul Barakat Nasafi, one of the great scholars who came from Nasaf, an outstanding Hanafi scholar, Quran interpreter and Maturid theologian, had deep knowledge in the field of tafsir, aqida and fiqh. For his contribution to Islamic sciences, he was awarded the honorary title of "Hafiz ad-Din" (Protector of Religion). In the books of biographers, it was mentioned that he was distinguished by seniority, progress, the ability to distinguish between strong and weak, and he was wary of transmitting rejected sayings and weak narratives in his books. He was known for righteousness, humility, asceticism, generosity, knowledge, open-mindedness, eloquence and fluency, love for the poor and students and favor to them. Although Abul Barakat Nasafi was born and raised in the city of Nasafi, he received his basic education in Bukhara and traveled to many countries. He earned respect for his knowledge in the countries he visited. After the conquest of Movarounnahr by the Mongols in the first quarter of the 13th century, a period of crisis began in the life of the peoples of this land with an ancient culture. It was during this period that Allama Abul Barakat Nasafi was born, who devoted his whole life to science and education and tried to revive the religious sciences.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".