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What is Local Knowledge? Digital Humanities and Yuan Dynasty Disasters in Imperial China's Local Gazetteers

Published online by Cambridge University Press:  12 August 2020

Dagmar Schäfer*
Affiliation:
Max Planck Institute for the History of Science
Shih-pei Chen
Affiliation:
Max Planck Institute for the History of Science
Qun Che
Affiliation:
Shanghai Jiaotong University.
*
*Corresponding author. Email: dschaefer@mpiwg-berlin.mpg.de
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Abstract

This paper focuses on the historical politics of disaster records in Chinese local gazetteers (difangzhi 地方志). Using records of mulberry crop failures as examples, the authors ask how gazetteer editors collated Yuan disaster records—initially collected to help prevent disasters and authorize the legitimacy of dynastic rule—in gazetteers and, in so doing, made them into ‘local’ knowledge. Digital humanities methods allow for both qualitative and quantitative analyses, and the authors deploy them to demonstrate how, in structured texts like the Chinese local gazetteers, they could help combine close reading of specific sections and larger-scale analysis of regional patterns. In the first part, the authors show how disasters were recorded in a Yuan Zhenjiang gazetteer to facilitate taxation and disaster prevention locally—a strategy rarely traceable in subsequent gazetteers until the Qing. In the second part, the authors shifted their perspective to the historical accumulation of data and what that reveals about the reception of Yuan disasters: whereas local gazetteers from the north generate long chronologies of mulberry disasters from the Ming to the Qing, others depict the south as disaster-free.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press
Figure 0

Figure 1. Geographical Distribution of Local Gazetteers Compiled or Published During the Song, Jin, and Yuan Dynasties, Both Extant and Lost. The data are drawn from four sources: Zhongguo Gu Fangzhi Kao, Song Liao Jin Yuan Fangzhi Ji Yi, Song Chao Fangzhi Kao, and Jin Yuan Fangzhi Kao. While the dots represent the coverage of locations of these gazetteers, the background heat map reflects the number of gazetteers compiled for each locale during all three dynasties. Data curation by Cathleen Paethe, Lin Nungyao, Tang Yuting, and Jiang Yexin; map by Lin Nungyao.

Figure 1

Figure 2. Tagging as a Curation Process. This figure shows LoGaRT's tagging interface with a text snippet from the 1756 Dongming Xian Gazetteer, resulted from keyword search for mulberry disasters. We tagged the dates of when such disasters happened, place names, reasons, and results of mulberry loss, all shown in different colors. LoGaRT allows scholars to define thematic topics for tagging and tags, then assign tags to parts of text to specify their meaning, and also incorporate their assessments of the text parts.

Figure 2

Figure 3. Chronological Breakdown of Mulberry Disasters Reported in LG: Dynasties of the Disasters and When They Were Published in LG.

Figure 3

Figure 4. Chronological Breakdown of Mulberry Disasters, Proportional to Number of Extant LGs Published by Each Dynasty

Figure 4

Figure 5. Geographical Distribution of the 404 Reported Mulberry-Related Disasters, Mentioned in 3,999 Local Gazetteers, Color-Coded With the Time Periods They are Dated. Map by Lin Nungyao.

Figure 5

Figure 6. Locations of Natural Disaster Reported in the Yuan Dynastic History (Yuan Shi and New Yuan Shi). The mulberry disaster reports are highlighted as black crosses. The background heat map reflects the number of natural disaster reports in each locales. Data curated by Lin Nungyao, Hung Yi-Mei, Su Hong-Ting, and Liu Yuxin; map by Lin Nungyao.