The Ideal State for Humans in Xunzi
Bibliographic Data
| ID | 23205377 |
|---|---|
| Authors | Doil Kim (0000-0001-8481-210X, corresponding author) |
| Year | 2014 |
| Volume | 64 |
| Issue | 3 |
| Pages | 740-758 |
| Publication date | 2014-07-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Philosophy East and West (JOURNAL) |
| Journal identifiers | ISSN: 0031-8221 • E-ISSN: 1529-1898 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/pew.2014.0049 |
| OpenAlex | W2002844667 |
| Language | EN |
| Citations received | 1 |
| References cited | 2 |
Here, attention is given to a cluster of terms that Xunzi uses in his understanding of the ideal state for humans and that reveal their internal relations. The cluster includes zhi 治, li 理, he 和 , and yi 一 . The kind of ideal state for humans that Xunzi envisions is finally explained on the basis of the relations among these terms. Li especially comes under close scrutiny. A new interpretation of li is offered by revealing its holistic nature. In relation to this nature, an ethical and political requirement in Xunzi’s thought is extracted from a relevant notion, da li 大理 . Also, the substantive content of the ideal state is elaborated by examining other relevant terms such as lun 倫 and fen 分 . Finally, the relation of the cluster of terms to the notion that has been traditionally considered central to early Confucian thought, yi 義 , is examined. Briefly stated, the aim here is to bring to light the conceptual map of a cluster of terms that converge on the idea of the ideal state for humans, which is central to Xunzi’s ethical and political thought.
Algorithm · Cluster (spacecraft) · Epistemology · Ideal (ethics) · Interpretation (philosophy) · Linguistics · Political science · Politics · Relation (database) · Scrutiny · Sociology · State (computer science) · Theology · China's Socioeconomic Reforms and Governance · Chinese history and philosophy · Computer Science · Japanese History and Culture · Law · Mathematics · Philosophy
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |