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Four occupations: Art, Shì (士) & Outside China
The four occupations (simplified Chinese: 士农工商; traditional Chinese: 士農工商; pinyin: Shì nóng gōng shāng), or "four categories of the people" (Chinese: 四民; pinyin: sì mín), was an occupation classification used in ancient China by either Confucian or Legalist scholars as far back as the late Zhou dynasty and is considered a central part of the fengjian…
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Four occupations topic overview
The analysis highlights Art, Shì (士) and Outside China as prominent areas in the source structure around Four occupations. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
178
Source areas
8
Connected nodes
187
Extracted relationships
74
Concept neighborhoods
58
Bridge connections
187
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Unclassified occupations · 46 topics
Shì (士) · 41 topics
Outside China · 39 topics
Overview · 16 topics
Background · 12 topics
Gōng (工) · 12 topics
Shāng (商) · 9 topics
Nóng (农/農) · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Four occupations connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Four occupations shows recurring relationship patterns in the source. For example, Four occupations → AD, Ban, Ban Gu, BC, Book, China, Despite, Eastern-Han, From, Guliang Zhuan, Han, However, The Han-era, The Rites, The Shuo Yuan, Warring States, Warring States-era Xunzi, Western Zhou, Zhou Another extracted example is Four occupations → Chinese, Han, Hongwu, Illegal, In, It, Ming, Qing, Six, Slavery, Song, Sue Gronewold, Tang, The Xin, These, Wang Mang, Yongzheng. Use these groups to spot repeated connection types before inspecting the individual relationships.
Four occupations
Top relations
related to background· 19
Four occupations → AD, Ban, Ban Gu, BC, Book, China, Despite, Eastern-Han, From, Guliang Zhuan, Han, However, The Han-era, The Rites, The Shuo Yuan, Warring States, Warring States-era Xunzi, Western Zhou, Zhou
related to Slaves· 17
Four occupations → Chinese, Han, Hongwu, Illegal, In, It, Ming, Qing, Six, Slavery, Song, Sue Gronewold, Tang, The Xin, These, Wang Mang, Yongzheng
related to Shāng (商)· 15
Four occupations → Archaeological, Autumn, China Duke Huan, Emperor Shun, Guan Zhong, He, Hegemon, Imperial China, In, In Ancient, In Imperial China, Prime Minister, Qi, Spring, The
related to Unclassified occupations· 10
Four occupations → Buddhist, Emperor Zhenzong, Four, Han, People, Qin, Such, The Song, There, Wang Yucheng
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Four occupations relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 74 structured relationships around Four occupations. Examples in this analysis include entertainers → instance of → occupations and Shen Kuo → instance of → Scholars. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
entertainers
instance of
occupations
0.80
text
prostitutes.The four occupations were not a hereditary system
instance of
occupations
0.80
text
Shen Kuo
instance of
Scholars
0.80
text
the Lanfang Republic
instance of
the Kongsi republics
0.80
text
which bitterly resisted Dutch colonisation in the Kongsi Wars
instance of
the Kongsi republics
0.80
text
Zhang Yingyu's The Book of Swindles
instance of
In popular culture texts
0.80
text
in the case of Zhang Jiao
instance of
seeking to prevent them from amassing too much power and influence
0.80
text
who led a Taoist sect into open rebellion against the Han government's authority.Fortune-tellers such as geomancers
instance of
seeking to prevent them from amassing too much power and influence
0.80
text
astrologers were not highly regarded.Buddhist monkhood grew immensely popular from the fourth century
instance of
seeking to prevent them from amassing too much power and influence
0.80
text
where the monastic life's exemption from tax proved alluring to poor farmers
instance of
seeking to prevent them from amassing too much power and influence
0.80
text
the Baojia
instance of
Peasants were encouraged to join militias
0.80
text
Zhao Feiyan achieved higher status by becoming concubines
instance of
although some
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Four occupations bring nearby vocabulary together. In this analysis, examples include Occupations, Social and Han. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Four occupations
Occupations
Social
Han
Farmers
Dynasty
Song
Order
Chinese
Society
System
China
Confucian
four occupations
Occupations
Social
Han
Farmers
Dynasty
Song
Order
Society
System
Chinese
Class
Ming
simplified chinese
Social
Society
China
Occupations
Imperial
Four
Government
Dynasty
Merchant
Song
Order
System
traditional chinese
Social
Society
China
Occupations
Imperial
Four
Government
Dynasty
Merchant
Song
Order
System
ancient china
Chinese
Merchant
Period
Social
Dynasty
Also
Imperial
Society
Order
Occupations
Scholars
Bc
zhou dynasty
Song
Ming
Imperial
Han
Late
Civil
Examinations
Four
Government
Occupations
Also
Society
chinese cultural sphere
Social
Society
China
Occupations
Imperial
Four
Government
Dynasty
Merchant
Song
Order
System
chinese
Social
Society
China
Occupations
Imperial
Four
Government
Dynasty
Merchant
Song
Order
System
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Four occupations, one of the stronger structural bridges in this analysis connects Four occupations with Unclassified occupations. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Four occupations
Nodes188
Edges187
Triples74
Avg. degree1.99
Density0.010638
Components1
Source & methodology
TTTA analyzes the structure around Four occupations to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Shì (士) & Outside China, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
