Bibliographic record
Abstract
Allah Almighty sent the Prophet (PBUH) with the Holy Quran, which guides us on how to solve problems at individual, social, national, and international levels. The Prophet (PBUH) is the epitome of guidance provided in the book of Allah. Therefore, the Ummah has preserved all aspects of the prophetic life in a collection called Fiqh al Sirah, so that we may overcome the hurdles and complications in our lives. Whenever ummah feels any hurdle in the way of social life, they seek guidance from the books written on the matter of Fiqh al Seerah. Water is a fundamental necessity of life that is bestowed upon us by Allah Almighty. The significance of water is not only emphasized in Islamic texts like the Quran, Hadith, and Fiqh but also in various scientific studies. However, in recent times, water pollution has become a major threat to human health and the environment. The contamination of natural water resources by various pollutants has led to severe consequences. To address this issue, it is crucial to understand the causes and impacts of water pollution. Some of the major causes of water pollution include industrial waste, domestic waste, and agricultural practices. To combat this issue, it is essential to adopt sustainable practices that reduce water pollution. This article aims to provide an in-depth analysis of the causes, impacts, and possible solutions to water pollution. The significance of this article is that it provides a comprehensive solution to the problem of water pollution, based on an in-depth analysis of the Islamic perspective extracted from Qyran, Seerah and Fiqh on environmental conservation.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.965 | 0.966 |
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".