The Rise of the Ni‘matullāhī Order.pdf
Bibliographic record
Abstract
"How were the Ni‘matullāhī masters successful in reviving Ni‘matullāhī Sufism in Shi‘ite Persia? This book investigates the revival of Ni‘matullāhī Sufi order after the death of the last Indian Ni‘matullāhī master, Riḍā ‘Alī Shāh (d. 1214/1799) in the Deccan. After the fall of Safavids, the revival movement of the Ni‘matullāhī order began with the arrival in Persia of the enthusiastic Indian Sufi master, Ma‘ṣūm ‘Alī Shāh, during the last quarter of the eighteenth century. Later, at the beginning of the nineteenth century, Persian masters of the Ni‘matullāhī Order were able to solidify the order’s place in the mystical and theological milieu of Persia. Ma‘ṣūm ‘Alī Shāh and his disciples soon spread their mystical and ecstatic beliefs all over Persia. They succeeded in converting a large mass of Persians to Sufi teachings, despite the opposition and persecution they faced from Shi‘ite clerics, who were politically and socially the most influential class in Persia. The book demonstrates that Ḥusayn ‘Alī Shāh, Majdhūb ‘Alī Shāh, and Mast ‘Alī Shāh were able to consolidate the social and theological role of the Ni‘matullāhī order by reinterpreting and articulating classical Sufi teachings in the light of Persian Shi‘ite mystical theology. "
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".