China's New “Black Box”: Problems and Prospects for the Central National Security Commission
Bibliographic record
Abstract
Abstract China's establishment of a Central National Security Commission (CNSC) in late 2013 was a potentially transformative event in the evolution of China's national security decision-making structure. Yet, as of mid-2017, few details about this organization and its activities have been released, leading to continuing questions about its likely role and functions in the Chinese system. Based on an analysis of numerous authoritative but under-utilized Chinese sources, this article addresses the rationale, prospects and implications of the CNSC. It argues that the organization is both a fulfilment of a long-held desire by many in China for a centralized, permanent national security deliberation forum and also a reflection of the unique challenges facing China in the 21st century. Contrary to existing analyses, which argue that the CNSC is likely to be focused primarily on domestic security tasks, the article contends that it is more likely to play a major role in both internalandexternal security affairs. Moreover, the article argues that if certain obstacles can be addressed, the CNSC may have broad implications in areas ranging from China's crisis response capability to the role played by the Chinese Communist Party general secretary in the national security decision-making process. The conclusion recaps the findings and suggests avenues for further research.
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.
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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".