قرون وسطی میں مصر سے ملتان تک قرامطہ کےسیاسی ومذہبی اثرات
Bibliographic record
Abstract
With the decline of strong Muslim Khilafate various sectarian based movements proved a serious danger for the Muslim world. Qramtah movement was most famous among them. During the latter period of Abbassid Khila-fate, Qaramtah appeared very strongly. They had a strong hold in different part of Islamic state. Bahrin was their strong head quarter and then they spread all around in state especially in rural areas. They defeated a large and powerful army of Khalifa with a small army severl time.Qramtah killed a millions of innocent Muslims. They captured Makkah and disgrced “Bait Ullah” and banned Hajj for almost 20 years. They propagated their philosophy and beliefs in all over the Muslim world by force. Qramtah also established a strong government in Multan after the departure of Muhammad bin Qasim. Jalam bin Shaban was a famous Qramtian ruler of Multan In 1004 A.D. when Mehmood Ghaznavi came in Multan at that time Abul Fatih Dawud Qramti was the ruler of Multan Mehmood arrested him and destroyed the power of Qramtah in Multan. Qramtah continued serious unrest in Islamic world for four centuries.This movement effected badly the Muslim world and they have become politically weak against their political rival Christianity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.087 | 0.046 |
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".