Nabi Musa Menampar Malaikat Maut: Jalan Tengah Polemik Hadis Musykil
Bibliographic record
Abstract
Hadith which tells the story of the Prophet Musa slapping the angel of death invites polemic among the scholars. There is a group that can accept it with various explanations, there are also those who consider death is unacceptable even though the sanad is valid. Therefore this hadith is included as an improbable hadith. This paper tries to find a way out of the polemic. In this discussion, the author can accept opinions that reject this Hadith if the flow of understanding can be accounted for. However, the author can also accept opinions that accept it if the flow of understanding can be accounted for. An important part that must be revealed immediately in this hadith is the certainty whether or not Moses knew that what came to him was the grim reaper. If an explanation of this has been obtained, of course, we are easier to determine the attitude of accepting or rejecting this hadith. But certainty is difficult to obtain because the text of this hadith does not explicitly inform it. So what must be done now is tawaqquf.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".