The Making of Center-Periphery Relations: Shāh ʿAbbās I’s Abolition of the Tamghā Tax in Gilan
Bibliographic record
Abstract
Abstract This study examines the complex relationship between the Safavid central authority and the semi-autonomous region of Gilan, focusing on the political and economic implications of Safavid tax reforms under Shāh ʿAbbās I . The abolition of the tamghā tax, which had been traditionally rooted in Mongol customs, is analyzed as a strategic move by Shāh ʿAbbās I to undermine local elites, consolidate central power, and redirect regional resources to the Safavid capital. Safavid policies in Gilan, while framed in religious and benevolent terms, were primarily designed to weaken local autonomy and reinforce the center-periphery dynamic, ultimately subordinating Gilan’s economy and governance to the Safavid state.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".