دراسة في ضوء الأدبيات السابقة: مراجعة تحليلية لحروف الجر في القرآن الكريم
Bibliographic record
Abstract
The Holy Quran is considered the primary and first reference for Muslims, as all the rulings and transactions mentioned in it are based on the constitution and rule that Muslims follow. The texts of the Holy Quran contain many grammatical and rhetorical structures. One of these structures is the use of prepositions to express rulings or stories mentioned in the Holy Quran. Therefore, this study seeks to review the literature that dealt with prepositions in the Holy Quran. It sought to know the contexts of previous studies in which quarter of the Holy Quran they were. And to identify the most common meanings of prepositions mentioned in these studies. This study used desk research by reviewing the librarian study of previous studies. The study found that many previous studies focused on studying prepositions from the first and third quarters of the Holy Quran. The results indicated that the high-frequency prepositions are "Lam," "Ba’," "Min," "Ala," and "Fi." These prepositions are essential for the expression of fundamental concepts such as ownership, means, origin, responsibility, and location. This study recommends conducting more studies in the context of the uses of prepositions in the Holy Quran.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.107 | 0.076 |
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".