Tag: cged-q
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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…
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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…
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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…
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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…
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Training guide for using R to analyze the CGED-Q JSL public releases
Chen Jun has created a training guide (in Chinese) to help anyone who would like to learn how to use R to analyze the CGED-Q JSL Public Releases. The PDF file is available for download here. Chen Jun has produced other resources including slides and sample code for R, and they and the training guide…
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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…
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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…
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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…
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Video of Cameron Campbell’s talk on Qing Officialdom in the HKU Quantitative History series
Cameron Campbell presented a talk on Qing officaldom in the Hong Kong University Quantitative history series in November 2022. The video has been upload to Youtube:
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New paper on nominative linkage in the CGED-Q in Historical Life Course Studies
Cameron Campbell and Bijia Chen published a paper “Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)” in Historical Life Course Studies. It shares their experience with nominative linkage in the CGED-Q. It is intended to be useful to others who are engaged in large-scale, automated nominative linkage (disambiguation) of individuals…