Bibliographic record
Abstract
This article studies the methodology of Masābīh al-Jamʻ, a commentary on Sahīh al-Bukhārī by Imām Abu Bakr Damāmīnī, along with a brief account of its author. It argues that this book is considered to be one of the most important commentaries of Sahīh al-Bukhārī, which has arranged to explain Gharīb words, solutions to Arabic problems, explanation of the ambiguities of isnads, lexical, syntactical and principled advantages and other points. Imām Damāmīnī has made valuable additions to the dictionary, eliminated the defects found in the commentaries before him. It is a simple and syntactic book. Damāmīnī has followed the tradition of Zarqalī in choosing the hadiths and spoke on the hadiths. Damāmīnī made special use of "Al-Tawzih" by Ibn al-Mulqqin, Jalal al-Din Ibn al-Balqīnī's book "Al-Ifhām lima Waqa fi Bukhārī min al-Ibhām" and "Al-Tanqīh of al-Faz Al-Jāmʻ al-Sahih" by Imam Zarkashi. The Study reveals that about three thousand hadiths has been interpreted by Damāmīnī.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.992 | 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; both teacher heads 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".