Contemporary Oriental Studies on the Character of the Prophet of Islam, Our Master Muhammad (Peace Be Upon Him) and Its Impact on Western Society: An Analytical Study
Bibliographic record
Abstract
This study discusses the orientalist’ view of the character of Master Muhammad (peace be upon him). The purpose of the study is to present and analyze the fair statements as well as presenting and analyzing the unfair statements given by orientalists. The problem of the study represents the way how the views of the orientalists and their writings are presented, showing the true image of the Prophet Muhammad (peace be upon him). Also, it refutes the suspicions undertaken by the orientalists in order to distort the image of enlightened Islam by distorting the image of the Prophet Muhammad (peace be upon him). Furthermore, few studies have been discussed this issue. The analytical approach has been used. The study concludes that the enemies of Islam have one goal which is to distort the image of Islam and its Prophet (peace be upon him) despite the differences of their means. This distorted image of Master Muhammad (peace be upon him) appeared because of the hatred filling the hearts of orientalists, depending on weak false texts of Muslims’ writers. Further studies and recommendations are presented accordingly.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".