Argumen Ayat-Ayat Politik Dalam Al Qur’an
Bibliographic record
Abstract
Searching for political verses in the Qur'an is very important for the benefit of the ummah and guidelines for life in the nation and state, as human beings are actually created from different ethnic groups and religions, so this argument gives broad meaning in an academic perspective. The ability to present and understand every word of Allah requires the methodology of ulumul qur'an (Qur'anic sciences) which has been inherited by previous scholars, in the form of a set of interpretive tools that can reveal explicit and implicit messages, including verses of the Qur'an which has a political nature.The essence of politics (siyasiyah) in the perspective of the Qur'an implies the desire or way of Muslims to make Islamic teachings a curriculum of life (manhajul hayah). This is reflected in all life activities. This does not mean that the state must be based on the Koran, but that the values of the Koran are reflected in life because the values of the Koran are universal.Politics in the view of the Qur'an or Islamic politics (siyâsah islamiyah) aims to elevate the dignity, status and dignity of mankind to a more qualified and civilized direction according to their functions and duties as caliphs of Allah on earth, spreading mercy and peace and safety to all universe. Islamic politics is achieved if the perpetrators have morals, are moral, civilized, and are responsible to God and others. Keywords: politics, life curriculum, grace, responsibility
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.054 | 0.019 |
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".