Bibliographic record
Abstract
These punishments prescribed by the religion of Islam are very just, at the same time they are in the interest of the people, human dignity, mutual respect, destruction of the family system, corruption of lineage, encroachment on people's property, abuse of human beings. To maintain the intellect and the ability to think and understand, to prevent many corruptions and evils, to cleanse society from crime and to establish and maintain public order. As the rain brings prosperity, the fields sway. The life of such subjects depends on the enforcement of Islamic punishments. The punishments for the crimes prescribed by the Qur'an and Sunnah are called (extreme crimes). These are adultery, slander and slander, stealing, drinking, fighting and apostasy. The punishment of adultery (in Islam) is for a virgin i.e., for both male and female to be hastened, while for those who are married it is to be stoned. The punishment for making false accusations and slanders is to inflict the same blows. The Shariah punishment for theft is hand-wringing. The penalty for alcoholism is 40 lashes or 40 or 80 lashes. Muharrabat means killing, hanging, deportation or amputation of hands and feet in the opposite direction for causing mischief in the land and the punishment for apostasy is murder. This will eradicate crime and disobedience and will save the life, property, honor and dignity of everyone. Love, compassion and brotherhood grow among each other. As a result, the earth spews out its treasures. And the rain of mercy falls from the sky. Hudud should not be recommended. Personal and spatial determination should be taken into consideration for the removal of Hudud. Doubts should be taken into consideration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.985 | 0.990 |
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".