China’s Evolving Nuclear Forces: Changes, Rationales and Implications
Bibliographic record
Abstract
China is embarking on a comprehensive modernization program to quantitatively and qualitatively improve their nuclear force. These efforts, however, do not reflect or indicate a distinct shift in Chinese views towards or policy governing the purpose and use of nuclear weapons, but to achieve and maintain a secured second strike capability in a changing strategic landscape. Specifically, military developments by the United States including Ballistic Missile Defence and Precision Global Strike are seen as threatening the credibility of their nuclear deterrent, motivating the construction and deployment of a more modern, diverse and capable force. These force reconfigurations, however, create the potential of causing confusing and misunderstandings with the United States, and other nuclear powers, of the rationales informing their improvement. Ensuring the nuclear force balance between Beijing and Washington remains a minor and largely benign matter separated from and not influencing other more divisive matters is critical in the maintenance of their relatively stable, but increasingly complicated and tense, great power relationship and the international system in general. In order to achieve this, both states must clearly signal an understanding of their nuclear relationship as one defined by mutual vulnerability and the necessity of providing guarantees and evidence that their respective military technological developments and force structure changes are not designed to alter this reality.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".