Bibliographic record
Abstract
The Holy Qurān provides guidance on all aspects of human life, it contains guidance on the reality of human life, good and evil, (Ḥalāl and Ḥarām), moral teachings on every aspect of life. Many people are those who deny the end of spirituality and many are convinced of materialism and those who believe in spirituality also have many ideas. One group of them has the point of view that the system of the universe is running according to nature and there is no effect or cause in it. But on the other hand, there is a group that believes in spirituality as well as the spirits in the world such as jinns, demons, ghosts, fairies, etc. Among the supernatural creatures mentioned in the Holy Qurān, there is mention of coming to the refuge of Allah Almighty from the evil of devils, jinn, whispers and magic. This refuge is generally described by the Book of Allah as Isti'aza. Because it has been instructed to seek refuge from the whispers and incitements of the devils, because the treatment of these temptations is only in the hands of Allah. The last chapter of the Qur'an (Al-Nās) was revealed only to seek refuge from the temptations of jinn and humans. And from this, in the first Surah (Al-Falq), it is recommended to pray to seek refuge with Allah from every evil. From the revelation of these two continuous Surahs (Al-Mu'awd'tain), it is known what place Ista'azah and Ta'awwuz have in religion. Therefore, the Research title is important from the Islamic point of view and contemporary requirements.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.982 | 0.988 |
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".