The Role of Sistani People in the Uprising of IbnAsh’at against Umayyad Caliphate System (80-85 A.H.)
Bibliographic record
Abstract
Encountering Muslim Arabs and Islam in the first hegira century, Sistani people showed two kinds of reaction. Many of them did not resist Islam and its divine teachings and gradually converted to this new religion; however, they stood up to the racist and oppressive dominance of Umayyad family and whenever they got an opportunity, they expressed their hatred towards them by joining anti-Umayyad uprisings. Abdolrahmanibn Mohammad ibnAsh’at was one of the anti-Umayyad uprisings. Many of Sistani people took part in this uprising. In the present study, the descriptive—analytical research method has been used and with the help of library sources, the role of Sistani people in the uprising of ibnAsh’at against the Umayyad caliphate system has been reviewed. Due to dissatisfaction of Sistani people with the oppressive Umayyad governance, Khawarij’s anti-Umayyad propaganda in Sistan region, exponential financial and bodily costs resulting from successive wars of the Umayyad governors in eastern borders with the governance of Ratabilan, the essential substrate was built for Sistani people to join ibnAsh’at’s anti-Umayyad uprising. Although this uprising failed, but it weakened the pillars of the Umayyad governance and it proceeded to the extent that Umayyad family was on the verge of being falling and it also paved the way for the anti-Umayyad uprisings subsequent to it.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".