Ethnic Tensions between the Han and the Hui: The Neo-Sufi Jahriyya Movement of Ma Hua Long of the Late Qing Period (1862-1871)
Bibliographic record
Abstract
The historical study into the tensions of the late Qing Dynasty (1644–1912) between the Han and the Hui serves as a way to understand ethnic conflict in modern-day China. With an emphasis on the ideological and cultural differences between Islam and Confucianism, this paper will attempt to place the Neo-Sufi Jahriyyah movement of Ma Hua Long (d. 1871) into the historical framework of a deteriorating Qing Dynasty. Studies in this area have been challenging due to the paucity of resources on the subject and the tendency of mainstream academics during the time of the Great Leap Forward and the Cultural Revolution in China to favour the application of Marxist theory to the historiography of Qing Dynasty China. A more in-depth analysis is therefore required before one can start to uncover a more complete picture of the ethnic, religious, and political aspects of the rebellions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".