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Record W7024416323

The Rise of the Ni‘matullāhī Order.pdf

2021· other· en· W7024416323 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2021
Typeother
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsMysticismSufismPersecutionOpposition (politics)Quarter (Canadian coin)Persian
DOInot available

Abstract

fetched live from OpenAlex

"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. "

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5290.173

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.

Opus teacher head0.015
GPT teacher head0.278
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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