Bibliographic record
Abstract
This article introduces the late Ahmad Qabel (1958–2012), a new figure among contemporary Iranian religious reformers. Qabel, a progressive mujtahid, proposed the creative theory of Shari’at-e ’Aqlani in order to reform stagnant Shari’ah rules and align the application of legal norms and precepts with the space-time considerations of modern life. Critical of the superficiality of traditional jurists, who led into abeyance the progressive rational praxis within classical Shi’i theology and jurisprudence, Qabel revived and employed these rational principles in his novel method of ijtihad. This paper has four sections: first, there will be a short biographical sketch of Ahmad Qabel. The second section surveys the trajectory of the development of Shi’i fiqh in order to set the backdrop for Qabel’s arguments. Then, I will discuss some of the major rational principles which constitute the heart of Qabel’s methodology. In the last section, the practical results of Qabel’s Shari’at-e ’Aqlani are presented through some of his unconventional fatwas, which, though solidly based within the Shari’ah, took on controversial topics such as women’s rights, religious minorities, jihad, and Islamic government.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".