Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)

We introduce our approach to the nominative linkage of records of Qing officials who were included in the China Government Employee Datasets-Qing (CGED-Q) Jinshenlu (JSL) and Examination Records (ER). We constructed these datasets by transcription of quarterly rosters of civil and military official...

Full description

Saved in:
Bibliographic Details
Main Authors: Cameron Campbell, Bijia Chen
Format: Article
Language:English
Published: International Institute of Social History 2022-09-01
Series:Historical Life Course Studies
Subjects:
Online Access:https://hlcs.nl/article/view/11902
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We introduce our approach to the nominative linkage of records of Qing officials who were included in the China Government Employee Datasets-Qing (CGED-Q) Jinshenlu (JSL) and Examination Records (ER). We constructed these datasets by transcription of quarterly rosters of civil and military officials produced by the government and by commercial presses, and records of examination degree holders. We assess each of the primary attributes available in the original sources in terms of their usefulness for disambiguation, focusing on their diversity and potential for inconsistent recording. For officials who were not affiliated with the Eight Banners, these primary attributes include surname, given name, and province and county of origin. For the small subset of officials who were affiliated with the Bannermen, we assess the available data separately. We also assess secondary attributes available in the data that may be useful for adjudicating candidate matches. We then describe the approach that we developed that addresses the issues we identified with the primary and secondary attributes. The issues we have identified and the approach that we have developed will be of interest to researchers engaged in similar efforts to construct and link datasets based on elite males in historical China.
ISSN:2352-6343