Bibliographic record
Abstract
Hazrat Abdullah bin Abbas, Hibrul Ummah and Tanrjuman-ul-Quran, is considered among those “Sahabahs” (Companions of the Holy Prophetﷺ) who interpreted Quran. During the time of Sahabaa, Tafseer-ul-Quran-bil-Quran was in voge in the manner of Tafseer-bil-Masor. Nabi Akram ﷺ himself has adopted this style of interpretation of the Quran. Whenever a Sahabi asked him to explain any verse of the Quran, He used to recite another verse in response. This style of exegesis is found profusely in the interpretation of Hazrat Abdullah bin Abbas. We find him performing tozeeh-e-mushkil and tabyeen of mubhim in a verse by reciting another verse of the Quran. He also adopts takhsees-e-aam and sometimes he interprets the Quran in the light of ikhtilaf-e-qiraat. In this article I have sought to investigate the style of interpretation of Hazrat Abdullah bin Abbasso that his method of interpretation may become clear to us. It is the utmost essential to understand the interpreting style of Sahabahs to properly comprehend the Holy Quran so that we may not astray in interpreting this Holy Book.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.977 | 0.975 |
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".