Issues of disagreement with Imam Al-Ashmouni in the endowment and initiation in his book Manar Al-Huda in the statement of endowment and initiation, a collection and study (The first quarter of Surat Al-Baqarah as a model)
Bibliographic record
Abstract
The research aims to study the issues of disagreement with Al-Ashmouni in endowment and initiation, in his book Manar Al-Huda, confined to the first quarter of Surat Al-Baqara, and one of the most prominent goals is to extrapolate the book of Al-Ashmouni, and to know the issues of disagreement that he mentioned, and to know Al-Ashmouni’s methodology in mentioning the issues of disagreement, and his choice for that. Among the most prominent results: the reader of Al-Ashmouni’s book finds that issues of disagreement are repeated in many places in the surah itself, due to scientific considerations such as language, syntax, and endowment. Among the recommendations that I recommend: Completing the study of the issues of disagreement with Al-Ashmouni, with a balance between Al-Ashmouni’s approach in his book and the methods of the scholars who preceded him in presenting the issues of disagreement, stating the sayings, and clarifying the differences and agreement.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".