The Codification Episteme in Islamic Juristic Discourse between Inertia and Change
Bibliographic record
Abstract
Many historians view Islamic law as an organic and methodologically coherent system in which there is a systematic link between legal methodology ( uṣūl ) and substantive law ( furūʿ ). In this essay, I will argue against the conventional view, drawing support from the evolutionary trajectories of four genres of juridical writing: abridged legal compendia ( mukhtaṣar s); juristic disagreement ( ikhtilāf) ; the commentary/supercommentary ( sharḥ/ḥāshiya ); and legal responsa ( fatāwā ) genres. The post-thirteenth century evolution of these genres reveals a pronounced tendency to marginalize the relationship between legal methodology and substantive law, privileging a codification ethos. Judges and low-ranking jurisconsults were expected to “apply” legal rules and frequently abandoned legal methodology as an avenue for legal change in favor of pragmatic school boundary-crossing. In doing so, they were less concerned with intra-school methodological coherence than with pursuing juristic flexibility by focusing on the content of the law rather than its process.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".