Historical Chinese Microdata. 40 Years of Dataset Construction by the Lee-Campbell Research Group

C. Campbell, James Z. Lee
{"title":"Historical Chinese Microdata. 40 Years of Dataset Construction by the Lee-Campbell Research Group","authors":"C. Campbell, James Z. Lee","doi":"10.51964/HLCS9303","DOIUrl":null,"url":null,"abstract":"The Lee-Campbell Group has spent forty years constructing and analysing individual-level datasets based largely on Chinese archival materials to produce a scholarship of discovery. Initially, we constructed datasets for the study of Chinese demographic behaviour, households, kin networks, and socioeconomic attainment. More recently, we have turned to the construction and analysis of datasets on civil and military officials and other educational and professional elites, especially their social origins and their careers. As of July 2020, the datasets include nominative information on the behaviour and life outcomes of approximately two million individuals. This article is a retrospective on the construction of these datasets and a summary of their findings. This is the first time we have presented all our projects together and discussed them and the results of our analysis as a single integrated whole. We begin by summarizing the contents, organization, and notable features of each dataset and provide an integrated history of our data construction, starting in 1979 up to the present. We then summarize the most important results from our research on demographic behaviour, family, and household organization, and more recently inequality and stratification. We conclude with a reflection on the importance of data discovery, flexibility, interaction and collaboration to the success of our efforts.","PeriodicalId":73242,"journal":{"name":"Historical life course studies","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical life course studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51964/HLCS9303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The Lee-Campbell Group has spent forty years constructing and analysing individual-level datasets based largely on Chinese archival materials to produce a scholarship of discovery. Initially, we constructed datasets for the study of Chinese demographic behaviour, households, kin networks, and socioeconomic attainment. More recently, we have turned to the construction and analysis of datasets on civil and military officials and other educational and professional elites, especially their social origins and their careers. As of July 2020, the datasets include nominative information on the behaviour and life outcomes of approximately two million individuals. This article is a retrospective on the construction of these datasets and a summary of their findings. This is the first time we have presented all our projects together and discussed them and the results of our analysis as a single integrated whole. We begin by summarizing the contents, organization, and notable features of each dataset and provide an integrated history of our data construction, starting in 1979 up to the present. We then summarize the most important results from our research on demographic behaviour, family, and household organization, and more recently inequality and stratification. We conclude with a reflection on the importance of data discovery, flexibility, interaction and collaboration to the success of our efforts.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国历史微数据。Lee-Campbell研究小组数据集构建的40年
李-坎贝尔小组花了40年的时间构建和分析个人层面的数据集,这些数据集主要基于中国的档案材料,以产生一种发现学术。首先,我们构建了用于研究中国人口行为、家庭、亲属网络和社会经济成就的数据集。最近,我们转向构建和分析文官和军事官员以及其他教育和专业精英的数据集,特别是他们的社会出身和职业。截至2020年7月,这些数据集包括约200万人的行为和生活结果的提名信息。本文回顾了这些数据集的构建,并总结了他们的发现。这是我们第一次把我们所有的项目放在一起,作为一个整体来讨论它们和我们的分析结果。我们首先总结了每个数据集的内容、组织和显著特征,并提供了从1979年至今的数据构建的综合历史。然后,我们总结了我们在人口行为、家庭和家庭组织以及最近的不平等和分层方面的研究中最重要的结果。最后,我们反思了数据发现、灵活性、互动和协作对我们努力的成功的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.20
自引率
0.00%
发文量
0
审稿时长
30 weeks
期刊最新文献
The Life Course of 20th-Century Lyon Silk Workers. A Pilot Study What was Killing Babies in Rostock? An Investigation of Infant Mortality Using Individual-Level Cause-of-Death Data, 1800–1904 Genetic and Shared-Environment Effects on Stature and Lifespan. A Study of Dutch Birth Cohorts (1785–1920) Based on Genealogies What was Killing Babies in Amsterdam? A Study of Infant Mortality Patterns Using Individual-Level Cause of Death Data, 1856–1904 Introduction: Content, Design and Structure of Major Databases with Historical Longitudinal Population Data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1