Is There Space for “Genuine Autonomy” for Tibetan Areas in the PRC's System of Nationalities Regional Autonomy?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article considers whether room exists within the current system of nationalities regional autonomy (NRA) in China to accommodate Tibetan aspirations for "genuine autonomy" under the People's Republic of China (PRC) sovereignty. It examines the legal framework for NRA in China, as well as Chinese government policy and practice toward autonomous areas, in terms of the limitations and possibilities they imply for realizing Tibetan aspirations for autonomy, highlighting specific areas of concern, opportunities and constraints. It explores the development of political and legal approaches toward autonomy since the 1930s, the nature of the current framework and how recent legal and political developments interact with that framework. It looks at options for autonomy under the Chinese Constitution and national legislation, particularly the self-government of nationality (minority) autonomous areas as well as Article 31 of the Constitution which has provided the basis for the establishment of special administrative regions (SARs). Since autonomous areas also exercise the general powers of local governments in the PRC, it describes the general system of local government at the provincial and lower administrative levels. The article examines the practical implementation and operation of minority autonomy and SARs including the apparent gap between law and practice. In particular, special attention is paid to the role of the Chinese Communist Party and its officials which have a significant impact on the exercise of state powers. It concludes that there are formidable obstacles to the autonomy that Tibetans seek in order to preserve their culture, values and identity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it