New Article on Changes in the Social and Geographic Origins of China’s Educated Elites (1865-2014) Published in 《社会学研究》

Lee-Campbell group members Chen Liang, Hao Dong, Yunzhu Ren and James Lee published an article 江山代有才人出——中国教育精英的来源与转变 (Social Transformation and Elite Education: Changes in the Social and Geographic Origins of China’s Educated Elites 1865-2014) in the May 2017 issue of 《社会学研究》 (the Chinese-language journal Sociological Studies). Using data from the China Government Employee Database-Qing (CGED-Q) and the China University Student Dataset – Republic of China and Peoples Republic of China (CUSD-ROC and CUSD-PRC) they contrast the profound changes in social and geographic origins of China’s educated elite in four distinct periods: 1865-1905, 1906-1952, 1953-2003, and 2004-2014. They conclude that these fundamental transformations reflect the ability of the Chinese system of educational testing to legitimate new elites in different eras with different recruitment criteria, rather than merely to reproduce the intergenerational transmission of existing elites, as is the case of elite education in many other parts of the world.

The English and Chinese language abstract as well as a PDF of the paper (in Chinese) are available for download here:

http://www.shxyj.org/Magazine/Show?id=18161

New Online Search Function for Records of Officials in the 缙绅录 Made Publicly Accessible

We’ve made it possible to search the database of records for Qing officials that we are constructing from the 缙绅录, which was a sort of personnel directory published every three months (!) during the Qing, and listed approximately 13,000-15,000 officials each time, depending on the edition. We also have some editions of 中樞備覽 which list military officials. To learn more about the China Government Employee Database – Qing (CGED-Q), including our plans for the future, please visit our project page. We also have a paper in Chinese describing the database.

If you would like to look anyone up, perhaps an ancestor who served as an official, or someone you are already conducting research on, please give it a try: http://vis.cse.ust.hk/searchjsl/

All we ask is that if you have additional information on whoever you search for, please provide some details and your contact information in the form that shows up below the search results. We are particularly interested in years of birth and death, and names of ancestors.

We were inspired to do this because we had already begun fielding informal requests from people who asked us if we could find their ancestors, and wanted to make this more widely available.

Fu Siwei, a PhD student in computer science who is working with us on visualization of these and other historical databases, did this search facility as a side project. Lawrence Zhang, Bijia Chen, and other members of the research group provided a lot of feedback on various iterations.

Right now we’re only allowing for lookup of individuals. Following our standard practice, we will begin making the data publicly available, period by period. Our first release will be of late Guangxu and early Xuantong material, sometime in 2018.

Some disclaimers:

We’re still entering data. Right now our coverage of the early 20th century and late 19th century is the most complete. Coverage before the middle of the 19th century is pretty spotty.

It’s in Chinese, and for the search, you need to enter traditional Chinese, since that’s the way the original data is.

Also, it doesn’t work with Firefox.

Review Article by Song and Campbell on Multi-generational Data for Social Science Research Published in Annual Review of Sociology

Xi Song and Cameron Campbell’s review article of multi-generational microdata for social science research published in the Annual Review of Sociology is now available as a preview, with publication scheduled for this summer:

http://www.annualreviews.org/doi/abs/10.1146/annurev-soc-073014-112157

This comprehensive review introduces the major sources of multi-generational, longitudinal data that can be analyzed in the study of demographic and stratification processes. The emphasis is on data that are already available publicly, or by application. The review also surveys major research questions in the study of multi-generational processes, and the methods used for analyzing these data.