Bibliographic record
Abstract
In this essay, I argue for the “inclusive” advantage of John Rawls’s The Law of Peoples through a critical engagement with the political development of modern China. I start by introducing some recent developments in contemporary Chinese political theory, showing why it is now theoretically difficult to imagine that China can be incorporated into a liberal international order as a liberal society. In the main body of the essay, I conduct a comparative study of Joseph Chan’s Confucian perfectionism, a Confucian-inspired political theory embedded in Chinese cultural tradition and constructed for modern China, and the Law of Peoples. The purpose is to reveal (a) that there has already existed a school of Chinese political thought that will incorporate China into the Law of Peoples as a decent Confucian-inspired society and (b) that such a society will accept its global responsibility designated by the duty of assistance yet reject a global difference principle in the global original position. I conclude by suggesting how this potential “inclusiveness” of the Law of Peoples may help to remove some of new disturbance to the ideal of a just and stably peaceful world.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| 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".