The Lee-Campbell Group carries out 'big data' based studies of population and society in past times by construction and analysis of datasets based on large quantities of historical archival data. Please see our group web page for more details, including recent updates about our work, complete lists of publications, and an up-to-date list of members of the group.
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11 to 20 of 31 Results
Table A1 Frequency of characters in two-character names - all.xlsx
May 30, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 124.9 KB - MD5: 10c3f8da10fb9787c272e1715b1372c7
Frequencies of characters in two-character names, as cumulative percentages in descending order of frequency.
Table A2 Discordant Character Pairs in Single-Character Given Names - all.xlsx
May 30, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 67.7 KB - MD5: 2d5f6dcd4e5b5b5cfaf9557926e979be
Tabulation of discordant pairs of characters for single-character given names.
Table 2 Frequency of surnames - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 38.8 KB - MD5: 4a01f6f8d2f206cec64b7ad00d2f2e89
Cumulative percentages of surnames in the CGED-Q JSL, in descending order of frequency.
Table 3 Surname character changes - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 36.7 KB - MD5: 6250865422c351afd1931ad4f97b6036
Cumulative percentages of discordant recorded surnames recorded for the same official in adjacent editions in the CGED-Q, in descending order of frequency.
Table 4 Frequency of two-character names - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 2.2 MB - MD5: ef1315556ee3e0012fcb2a77e6796534
Cumulative percentages of two-character given names in the CGED-Q JSL in descending order of frequency.
Table 5 Discordant Character Pairs in Two-Character Given Names - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 181.1 KB - MD5: 6e168829957e2e575da8aa6d96a8fa0c
Cumulative percentages of discordant characters in the given names recorded for the same official in adjacent editions in the CGED-Q, in descending order of frequency.
Table 6 Frequency of single-character names - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 87.6 KB - MD5: 0a0a0739112197b6279f4169c5fe0deb
Cumulative percentages of single-character given names in the CGED-Q JSL in descending order of frequency.
Table 7 Frequency of counties - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 280.1 KB - MD5: 143e87d86a499b3033c42d646e0214da
Cumulative percentages of discordant characters in the given names recorded for the same official in adjacent editions in the CGED-Q, in descending order of frequency.
Table 8 Frequency of Banner names - all.xlsx
May 28, 2022 - Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q)
MS Excel Spreadsheet - 636.8 KB - MD5: 37ee7ce2bc385e6451dc77230ada1b02
Cumulative percentages of given names of Banner officials in the CGED-Q JSL in descending order of frequency.
中国历史官员量化数据库1900-1912公开版用户指南 2022 04 21.pdf
Apr 21, 2022 - China Government Employee Dataset-Qing Jinshenlu (CGED-Q JSL) Public Release
Adobe PDF - 2.1 MB - MD5: 474a84bd7f994670e43b227120745793
User Guide, in Chinese. Contains a history of the project, description of the original sources and their known strengths and limitations, and detailed descriptions of all variables. Please read!
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