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Writing for Local Government Schools: Authors and Themes in Song-dynasty School Inscriptions

Published online by Cambridge University Press:  16 July 2020

Song Chen*
Affiliation:
Bucknell University
*
*Corresponding author. E-mail: song.chen@bucknell.edu
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Abstract

A hallmark of the Song dynasty's achievements was the creation of a national network of state-sponsored local schools. This engendered an exponential growth of commemorative inscriptions dedicated to local government schools. Many authors used these inscriptions as an avenue to expound and disseminate their visions of schools and education. Using the methods of network analysis and document clustering, this article analyzes all the inscriptions extant from Song times for local government schools. It reveals a structural schism in the diffusion of ideas between the Upper Yangzi and other regions of the Song. It also demonstrates the growing intellectual influence of Neo-Confucian ideologues that gradually overtook that of renowned prose-writers. Methodologically, this article provides an example of how diverse digital methods enable us to handle a large body of texts from multiple perspectives and invite us to explore connections we might not have otherwise thought of.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2020
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Figure 1. Dedication of Inscriptions

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Table 1. Song-Dynasty School Inscriptions by Types of School Facilities

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Figure 2. Number of School Inscriptions by Period

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Figure 3. School Inscriptions in the South, by PMR and Period

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Table 2. Spatial Distribution of School Inscriptions by Period

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Map 1. Location of Schools with Extant Inscriptions

Note: Using socioeconomic data from 1990, G. William Skinner coded the Core and Periphery Zones with values from 1 to 7 within each macroregion. See G. William Skinner, Zumou Yue, and Mark Henderson, “China-CPZ (Core Periphery Zones),” https://doi.org/10.7910/DVN/HBERON, Harvard Dataverse, V2, 2013. In this map, I have defined zones with values of 1 and 2 as cores, 3 and 4 semi-peripheries, and 5 to 7 peripheries.
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Table 3. Distribution of School Inscriptions in Regional Cores and Peripheries

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Figure 4. Distribution of School Inscriptions per Author

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Table 4. Distribution of Authors by the Number of PMRs Where They Had Inscriptions

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Figure 5. Bipartite Networks between Author and School Location in the Northern and Southern Song

Note: Yellow nodes denote macroregions, whereas blue and green nodes represent authors. Each author node is sized according to its betweenness score, which measures how frequently it lies on the shortest path between any other nodes. The blue or green color of each author node indicates its core or periphery membership. This core-periphery analysis—not to be confused with the core and periphery zones in G. William Skinner's macroregional analysis—partitions the network into a highly interconnected cohesive subgroup (i.e. the core, in blue) and a set of loosely connected nodes (i.e. the periphery, in green) attached to the core. The thickness of each line is based on edge weight (i.e. the number of inscriptions each author wrote for schools in the PMR).
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Figure 6. Author-by-Author Networks in the Northern and Southern Song

Note: Each node is sized according to its coreness score, which measures the node's closeness to the core in a core-periphery partition. Each node is colored according to the modularity cluster to which it belongs. A modularity cluster is a subgroup of nodes that have dense connections with one another but sparse connections with those in other modularity clusters. Each network is partitioned into different modularity clusters in Gephi using the default value (1.0) for the resolution parameter (a higher value for the resolution parameter tends to reveal more details by partitioning the network into a larger number of small clusters, and vice versa). The thickness of each line is based on edge weight.
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Table 5. Betweenness Scores of Authors

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Table 6. Coreness Scores of Authors

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Map 2. Location of Schools with Inscriptions from Core Authors

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Table 7. Identity of Authors of the School Inscriptions

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Figure 7. (a) Occurrences of li in the Corpus. (b) Occurrences of li, Normalized by Number of Inscriptions in Each Period. (c) Occurrences of tianli and renxin, Normalized by Number of Inscriptions in Each Period.

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Figure 8. Corpus-Wide Frequency Distribution of All Two-Character Combinations

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Figure 9. Percentage of Inscriptions in Each Cluster by Period

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Table 8. Top Ten Most Frequent Terms in Each Cluster

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Table 9. Top Thirty Most Frequent Terms in Each Cluster

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Table 10. Distribution of Inscriptions in Each Cluster by Type of School Facilities