China's Repression of the Xinjiang Uyghur: Ethnic Conflict in Xinjiang, China and the Application of John Burton's Human Needs Theory
Bibliographic record
Abstract
This thesis is focused on the analysis of the conflict between the Uyghurs and the Chinese government in Xinjiang, China using John Burton’s Human Needs Theory. Xinjiang or the Xinjiang Uyghur Autonomous Region (XUAR) is a province in China’s northwestern corner. It is a predominantly Muslim province, inhabited by the Uyghur population. Ethnic conflict and unrest plague the province. The Chinese government has designated separatism and terrorism in the region as one of the nation’s largest security challenges. According to the Chinese government, the conflict in Xinjiang threatens the social fabric and stability in Xinjiang and the country as a whole. In response to this security challenge, the Chinese government has adopted a policy of striking hard, whereby they employ methods to reduce extremism, and religious and ethnic terrorism. These approaches have been accused of being militarized, securitized, and embedded with religious and ethnic repression and discrimination which threaten the human rights and human needs of the Uyghur population. This thesis aims to describe and outline these occurrences and the general climate of marginalization in Xinjiang. This thesis aims to demonstrate that this repression deprives the Uyghur population of their fundamental human needs and increases a sense of hopelessness and desperation. This exacerbates tensions in the region and leads to a rise in violence and terrorism. In this way, this thesis will use John Burton’s Human Needs Theory to demonstrate and explore how the policies adopted by the Chinese government may not only be ineffective, but also counterproductive, in tackling the region’s security challenges. It will focus on the intersections between repression, counterterrorism, and John Burton’s Human Needs Theory. It aims to present a case study that offers an understanding of how the Chinese government’s policies may be further threatening national security and stability and demonstrates the implications of certain counterterror policies aimed towards religious and ethnic terrorism. Ultimately, it aims to show that structural violence and the deprivation of human needs must be tackled for conflict resolution to occur.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".