Bibliographic record
Abstract
At a time when civilizational wars are on the rise, the world's religions and their proponents are at loggerheads in the same civilizational conflict. The religion of Islam and its followers seem to be more affected by this whole situation. There are other difficulties and punishments. Every day we come to hear and see the incidents of desecration of places of worship and other holy places of the people of Islam. But a study of history reveals that when these Muslims were in power and how the Muslim caliphs and rulers ruled the world and protected the holy places of other religions, and the followers of other religions and their worship in the Islamic Empire The places were so respected and protected that even in the areas under the control of the rulers who took the name of these religions, they did not consider themselves so safe. The need is that such events and facts scattered in the pages of history in this regard. It should be made clear to the world that Islam and Ibliyan Islam are very open and wide-hearted in this regard. In view of this, this article mentions the Islamic teachings regarding the protection of non-Muslim holy places and places of worship as well as the practical steps of Seerat-e-Tayyiba, Righteous Caliphs and various other great rulers without which the world can still seek guidance. Can be provided a peaceful and serene environment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.980 | 0.982 |
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".