Approaching Mull? ?adr? as Scriptural Exegete: A Survey of Scholarship on His Quranic Works
Bibliographic record
Abstract
This article offers the first comprehensive survey of scholarly literature devoted to the Qur??nic works of the famous Muslim philosopher, Mull? ?adr? (d. 1050/1640). While taking account of the merits and shortcomings of studies on ?adr?’s Qur??nic writings, we will also be concerned with highlighting some of the methodological problems raised by the diverse range of approaches adopted in these studies. Chief amongst them is the tendency to pit ?adr? the philosopher against ?adr? the scriptural exegete. Such a dichotomy is not entirely helpful, both with respect to painting a clearer picture of ?adr?’s religious worldview, and to addressing broader questions pertaining to the intimate relationship shared between the “act” of philosophy and the “act” of reading scripture.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".