A Study on the Effects of Ghazan Khan’s Reformative Measures for the Settlement of the Nomadic Mongols (1295-1304)
Bibliographic record
Abstract
This article aims to elaborate the effects of Ghazan Khan’s reformative measures for changing Mongol lifestyle. They migrated from one place to another to make a living but after his reforms, they were settled. Mongols were among the people who lived in the Central Asia usually made raids on the neighboring nations. They had taken to a life of vagrancy and never wanted to be settled in a particular place. When they entered the civilized Persia, the Mongolian government became highly polarized. On the one hand, the Mongols habitually destroyed the government’s sources of income (agriculture and trade), and on the other, they were its military force, whose existence was a necessity. As this polarization continued, political and economic crises emerged, too. Then, Ghazan Khan, by some actions, hindered the collapse of the Ilkhanate. As a result, the Mongols underwent a self-imposed settled life but it was against the great Yasa code of Genghis Khan.
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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 | 0.000 | 0.000 |
| 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".