New article by Hu Cunlu using CGED-Q in 近代史研究

We were delighted to learn that Hu Cunlu (胡存璐), an assistant professor at Central China Normal University who recently completed her PhD at Renmin University, has just published an article “清代山西知县空间流动的量化分析 (A Quantitative Analysis of Spatial Mobility of County Magistrates in Shanxi in Qing Dynasty)” in 近代史研究 (Modern Chinese History Studies). The article makes use of China Government Employee Database-Qing Jinshenlu 中国历史官员数据库–清代缙绅录 (CGED-Q JSL) that we shared with her. She also makes use of county gazetteer data collected by Renmin University. We hope this article along with other recent publications using the CGED-Q will inspire others to use the public CGED-Q, or CGED-Q data that we have shared with them.

Here is the link to the article: https://mp.weixin.qq.com/s/YwAUMJZfVz6DtwBKx-l2Dw

If you publish an article that makes use of the CGED-Q, please let us know so we can help publicize it!

CGED-Q JSL 1760-1798 Draft Release

We have made available a draft release of the China Government Employee Dataset-Qing (CGED-Q) Jinshenlu (JSL) 1760-1798 data at the HKUST Dataspace:

https://dataspace.hkust.edu.hk/dataset.xhtml?persistentId=doi:10.14711/dataset/E9GKRS

We expect to release a final version later in the year reflected corrections to any problems identified by users.

We are grateful to Xue Qing and Bijia Chen who spotted issues with the data before it was released.

CGED-Q Research Seminar and Training Workshop at Central China Normal University, July 28-August 3, 2024

In conjunction with the next public release of data from the CGED-Q JSL, there will be a research conference and training workshop at Central China Normal University July 28-August 3 in conjunction with the next public release of data from the China Government Employee Dataset-Qing (CGED_Q) Jinshenlu. The conference will be July 29 and July 30. Papers that make use of Jinshenlu and related sources are welcome. The training workshop will be July 31-August 2.

Here is the announcement of the research conference in Chinese:

https://mp.weixin.qq.com/s/_4A0DO6hglCS2iHW2xscQA

Here is the announcement for the training workshop in Chinese:

https://mp.weixin.qq.com/s/XTGWh6r0dWxYUmJAEUtZWA

New paper on the organizational demography of Qing officialdom in 社會科學研究

A paper by Cameron Campbell and Shuaiqi GAO on the organizational demography of Qing officialdom has been published in 社會科學研究. You can read it in its entirety in a post at the journal’s official account. You can download the PDF at the entry for the paper at the journal’s website. The English version is available at Soc ArXiv.

The article was one of seven journal articles selected for inclusion in the History (历史) category in April 2024《中国社会科学文摘》(China Social Science Digest). https://mp.weixin.qq.com/s/WYe_MogUK_DA2EfPHe2FqA

Abstract

中国历史官员量化数据库——(清)缙绅录(CGED?Q JSL)中文官的纵向关联记录揭示了19世纪清代文官整体的职业动态。定量分析的结果表明,清代官僚系统的总体情况就像一个当代的大型组织,文官离职率在任职的第一年内很高,然后下降,之后趋于稳定。19世纪下半叶,官员的离职率整体下降,但于清末十年中上升。官员离职率下降导致拥有功名的候缺待补官员群体谋求仕途和进一步晋升的机会不断减少。同时,异途官员的人数不断增加,加剧了官场竞争。不同类别、品级官员的职业动态在不同历史时期的变化趋势差异较大,尤其是高品级官员的离职率对清代后期的官场平衡具有深刻影响。清代文官的职业动态一方面揭示了清代文官组织人口学的基本特征,另一方面也为解释清代特定官员群体或特定时期的官员个案研究提供了重要参考。

We study the organizational demography of the Qing civil service from 1830 to 1911. Before the 20th century, the Qing bureaucracy was one of the largest non-military organizations in the world in terms of numbers of regular employees. At any given time, approximately 13,000 officials held formal appointments. We present the basic features of its organizational demography using data on nearly all civil officials with formal appointments from 1830 to 1912. We make use of longitudinally linked records of officials in the China Government Employee Database – Jinshenlu (CGED-Q JSL) to reconstruct rates of exit from service, the career lengths of officials, and the number of years since first appointment for currently serving officials. While previous studies of the Qing have examined turnover in specific types of posts, they have not considered the dynamics of complete careers. We find that exit rates in the first year of service were high and then low and stable afterward. While most officials only served for a short time, currently serving officials were relatively experienced. We also show that rates of exit from service declined for much of the last half of the 19th century, and then increased in the first decade of the 20th century. Declining turnover in the last half of the 19th century would have reduced opportunities for degree holders seeking posts and for officials seeking promotion at a time when the number of holders of purchased degrees competing for posts was increasing. We also compare different categories of officials. The results not only illuminate basic features of the organizational demography of Qing officialdom, but also provide a baseline for interpreting results from case studies of specific groups of officials or specific time periods.

Here is the full reference:

康文林 (Cameron Campbell) and 高帅奇(Gao Shuaiqi). 2024. 清代文官的组织人口学研究, 1830-1911 (The Organizational Demography of the Qing Civil Service, 1830-1911). 社会科学研究 (Social Science Research). 1:157-169.

New publication using process mining to study the careers of Qing officials in the CGED-Q JSL

Adam Burke at the Queensland University of Technology lead-authored a paper “State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants” that introduces a new process mining technique he calls ‘state snapshot process discovery’ and illustrates it by application to our CGED-Q JSL data on the careers of jinshi officials. Cameron Campbell is a co-author. The paper has been accepted for presentation at the 5th International Conference on Process Mining (ICPM2023), in Rome, Italy, in October 2023.

A pre-print of the paper is available at Adam’s website: https://adamburkeware.net/papers/burke_et_al_state_snap_qing_icpm2023.pdf

Here is a figure from the paper that summarizes the empirical reconstruction of the careers of first and second tier (一甲 and 二甲) jinshi in the years after they earned their degree. One of the attractions of the CGED-Q JSL for demonstrating this technique was that there were canonical career pathways specified by regulations for such high-ranked degree holders, thus it was possible to assess whether the empirical results derived from the data were consistent with the canonical career pathways. We hope that extensions of this technique, and possibly other techniques, can be used to explore the trajectories of officials with more mundane qualifications.

For this paper, Cameron Campbell helped Adam and the other collaborators (Sander Leemans and Moe T. Wynn) understand the data that we provided, and advise on adjustments to accommodate undocumented or otherwise unanticipated features of the data in successive iterations, and then assist in the writing of sections related to the data and the historical context, background on the social science studies of careers, the interpretation of the results.

We are happy to collaborate with computer scientists and other researchers developing techniques for understanding careers and trajectories more generally in complex longitudinal data, who need data like the CGED-Q to showcase their approaches.

English version of forthcoming paper on the organizational demography of the Qing civil service

社會科學研究 (Social Science Research) published by the Sichuan Academy of Social Science has accepted our paper “The Organizational Demography of the Qing Civil Service, 1830-1911” and tentatively scheduled it for publication in 2024. In the meantime, they have given permission for us to share the original English language version:

The Organizational Demography of the Qing Civil Service, 1830-1911

Please cite the Chinese language version if you refer to it:

康文林 (Cameron Campbell) and 高帅奇(Gao Shuaiqi). 2024. 清代文官的组织人口学研究, 1830-1911 (The Organizational Demography of the Qing Civil Service, 1830-1911). 社会科学研究 (Social Science Research). 1:161-173.

The paper is largely descriptive. It uses the CGED-Q JSL to measure the turnover of officials, career lengths, and years since appointment for currently serving officials. It was inspired by the older literature on organizational demography that sought to relate the performance of organizations to aggregate ‘demographic’ features such as their turnover, length of service and so forth. We hope that it will be a useful reference for anyone studying Qing officialdom. Previous studies of the dynamics of Qing official have focused on the lengths of appointments to specific posts, and turnover in those posts, rather than entire careers.

Here is the abstract:

We study the organizational demography of the Qing civil service from 1830 to 1911. Before the 20th century, the Qing bureaucracy was one of the largest non-military organizations in the world in terms of numbers of regular employees. At any given time, approximately 13,000 officials held formal appointments. We present the basic features of its organizational demography using data on nearly all civil officials with formal appointments from 1830 to 1912. We make use of longitudinally linked records of officials in the China Government Employee Database – Jinshenlu (CGED-Q JSL) to reconstruct rates of exit from service, the career lengths of officials, and the number of years since first appointment for currently serving officials. While previous studies of the Qing have examined turnover in specific types of posts, they have not considered the dynamics of complete careers. We find that exit rates in the first year of service were high and then low and stable afterward. While most officials only served for a short time, currently serving officials were relatively experienced. We also show that rates of exit from service declined for much of the last half of the 19th century, and then increased in the first decade of the 20th century. Declining turnover in the last half of the 19th century would have reduced opportunities for degree holders seeking posts and for officials seeking promotion at a time when the number of holders of purchased degrees competing for posts was increasing. We also compare different categories of officials. The results not only illuminate basic features of the organizational demography of Qing officialdom, but also provide a baseline for interpreting results from case studies of specific groups of officials or specific time periods.

Here’s a figure from the paper, presenting time trends in rates of exit from service in the next three months for officials with different amounts of experience:

Tutorial for using R to analyze the CGED-Q JSL Public Releases

Chen Jun, my MA student at Central China Normal University, has shared slides and sample code he produced to help anyone planning to use R to analyze the CGED-Q JSL public releases. The materials are all in Chinese. They introduce how to import the public data into R, create and transform variables, process strings to create variables, and tabulate and graph results. We hope that this will be useful to users of the data.

CGED-Q JSL receives Best Project Award (最佳项目奖 ) at China Digital Humanities 2022 Annual Meeting

We are pleased to report that the China Government Employee-Qing (CGED-Q) Jinshenlu (JSL) dataset was one of four to receive the Best Project Award (最佳项目奖 ) at the China Digital Humanities 2022 Annual Meeting held at Renmin University on November 26 and 27.

For more information about the award, please see the final report of the CDH 2022 meeting.

For more information about the CGED-Q JSL, please see the project page at the Lee-Campbell Group Website.