Bibliographic record
Abstract
Sīn, Lām and Fā stand for Salaf, which indicates Salafism; it is initially a very eminent Islamic school of thought. Since Islam was spread over the Arabian world and exceeded all geographical boundaries until it reached the non-Arabian countries and islands; it was known as Islam described by Holy Qur’an, interpreted by Allah’s Messenger (peace be upon Him) and stimulated by Holy Messenger’s companions, their followers and the followers of the followers. The term Salafism was basically introduced to the Ummah for them as it was meat: the people of time who in each and every issue be followed without any doubt. Unfortunately, a large number of groups had born from social and political diachronies that later started claiming independently as to be a good example for others to be followed. Surely none of them could precisely prove themselves hundred percent on right way that had been proven by the earliest golden age of Islam. Each one had professed as Salafi to prove oneself for others a good follower of Salaf. This matchless proclamation got all Ummah into sectarianism and racism. In present time Salafism has become a known symbol for a hierarchal group having different perspectives socially, politically and geographically. This paper is a short composition on the subject. It proves what is and what is not to be meant accurately by Salafism and what modern Salafism stands for?
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.984 | 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".