Is Islam a Religion of Moderation or Extremism? A Study of Key Islamic Teachings
Bibliographic record
Abstract
This article strives to present a brief analysis of Islamic religious sources and examines whether the claim that Islam is immoderate is true or false, especially in relation to the method of moderation applied in religious teachings, requirements and human relations and substantiates that it is a religion of flexibility, goodness, ease, moderation and not extremism. It employs content analysis of relevant verses of the Scripture and statements of the Prophet that refer to the method of moderation and explanations of selected Qur’?nic exegetes. It focuses on understanding the concept of moderation and explains important terms (1) Excessiveness or Extremism, (2) Laxity, Negligence or Harshness and (3) Straight Path that lead to understand the proper meaning of moderation. It also explores its most significant features such as (1) Excellence or Goodness, (2) Justice, (3) Ease and Removal of Hardship, (4) Wisdom (5) Straightness and (6) Between Two Things and lastly it provides the conclusion and recommendations.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".