Bibliographic record
Abstract
The lineage of the Khairabad family goes back to the Great Caliph of Islam Umar bin Khattab (RA) Bahauddin and Shamsuddin, the two brothers from his generation, came to the subcontinent fromIran. The Shamsuddin possessed the seat of Rohtak Ifta while the Bahauddin settled in the Badayun. Allama Fazal Imam Khairabadi (1829) is from the descendants of Bahauddin. His lineage is known as Khanawada-e-Khairabad, while the intro of his students is known as Madrasah Khairabad. The scholarly genealogy of the Khairabad family goes back to the scholars of Farangi Mahal. Allama Fazal Haq Khairabadi (1861), is the most popular name of the Khairabad family, who introduced the Khairabad family in the world. He learned the knowledge of Hadith from Shah Abdul Qadir Muhaddith Dehlvi (1815) and Shah Abdul Aziz Muhaddith Dehlvi (1824). The Khairabad family established the School, which gained fame in the regions andcountryside of India as teaching of rationality. The scholars of Khairabad put valuable services inwriting and compilation the different books. Allama Fazl Imam Khairabadi, Allama Fazl Haq Khairabadi ,and Allama Abdul Haq Khairabadi (1899) are worth mentioning in the Khairabad family.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.976 | 0.987 |
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".