Beyond State and Peasant: The Egalitarian Import of Juristic Revisions of Agrarian and Administrative Contracts in the Early Mamlūk Period
Bibliographic record
Abstract
Abstract In this article I argue that Shāfi'ī and Hanbalī jurists forged an agricultural policy beginning in the early Mamlūk period that aimed at securing the rights of peasants. They did so by introducing radical and systematic changes in the doctrines of their schools, applying the highest categories of legal reasoning (ijtihād). An analysis of Shāfi'ī and Hanbalī legal texts reveals that jurists advanced new interpretations of contracts of sharecropping and iqtā' that systematically promoted the interests of landless peasants over the elite. The legal revisions were predicated on developments in the land assignment/taxation system of the early 8th/14th century. Ultimately, the jurists' strategy exploited state innovations in the interest of advancing social and economic objectives that were independent of any centralized political authority or state institution.
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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 | 0.002 |
| 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".