ENGLISH-COVID-19: ITS IMPACTS AND MANAGEMENT IN THE ISLAMIC SOCIETY OF PAKISTAN
Bibliographic record
Abstract
From the very beginning, this uncomfortable disease has killed more people than for any other reason. The pandemic of the end and the disease (COVID-19) has gradually shown how powerless we are. Muslims are the second tightest group on the planet, accounting for about a quarter of the total population. They have a remarkable sense of nobility and culture, given their strict practices and beliefs, which require exceptional attention in an environment such as the current COVID-19 pandemic. The network's petition is an integral part of Islamic culture. It is compulsory for every adult male Muslim to perform the necessary intercession in the community, who has no reason not to do so. In any case, such actions can help to spread COVID-19 during a pandemic. Muslims admire the Holy Quran and the teachings of the Prophet (PBUH) (Hadith) to lead in all circumstances. The purpose of this article is to discuss the nature and impact of the Pandemic: COVID-19 on the people of Pakistan in Islamic Perspective, which is also the scientific view proven and accepted globally today.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".