Civilizational Spread and Ethnic Fusion: Analysis of the Impact of Bureaucratization of Native Officers in Guizhou Region During Ming and Qing Dynasties
Bibliographic record
Abstract
Bureaucratization of native officers is a major event in the history of Guizhou region, which went through the Ming and Qing dynasties. In fact, this process is also a province establishing process during which the civilizations of central plains and minority groups interacted and fused together, and the territory of Guizhou province was gradually settled. Bureaucratization of native officers in Guizhou is a systematic project which replaced the economic bases under different social systems in Guizhou with the advanced economic production relations under feudal landlord system in central plains using politics and military as the intervention precursor, economy and commerce as the penetration means, and cultural and educational integration as the auxiliary strategy. Bureaucratization of native officers significantly impacted Guizhou region’s politics, ethnology, culture, economy and ecology. The purpose of this powerful top-down, center-periphery spread and dissemination of Han civilization to Guizhou region is the assimilation of civilization and the construction of a unified multi-ethnic country. It is exactly during the dynamic exchange, struggle and fusion between the Han civilization, which is representative of central dynasty, and Guizhou’s local civilization that the unity in diversity ethnic structure is able to be achieved, and a uniform centripetal force is able to be formed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".