墙外:新家政工人数据集中的童工、强迫劳动和剥削模式

IF 1.7 Q2 SOCIOLOGY Societies Pub Date : 2024-05-03 DOI:10.3390/soc14050062
Zoe Trodd, Catherine Waite, James Goulding, Doreen S. Boyd
{"title":"墙外:新家政工人数据集中的童工、强迫劳动和剥削模式","authors":"Zoe Trodd, Catherine Waite, James Goulding, Doreen S. Boyd","doi":"10.3390/soc14050062","DOIUrl":null,"url":null,"abstract":"The new Domestic Workers Dataset is the largest single set of surveys (n = 11,759) of domestic workers to date. Our analysis of this dataset reveals features about the lives and work of this “hard-to-find” population in India—a country estimated to have the largest number of people living in forms of contemporary slavery (11 million). The data allow us to identify child labour, indicators of forced labour, and patterns of exploitation—including labour paid below the minimum wage—using bivariate analysis, factor analysis, and spatial analysis. The dataset also helps to advance our understanding of how to measure labour exploitation and modern slavery by showing the value of “found data” and participatory and citizen science approaches.","PeriodicalId":21795,"journal":{"name":"Societies","volume":"11 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beyond the Walls: Patterns of Child Labour, Forced Labour, and Exploitation in a New Domestic Workers Dataset\",\"authors\":\"Zoe Trodd, Catherine Waite, James Goulding, Doreen S. Boyd\",\"doi\":\"10.3390/soc14050062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new Domestic Workers Dataset is the largest single set of surveys (n = 11,759) of domestic workers to date. Our analysis of this dataset reveals features about the lives and work of this “hard-to-find” population in India—a country estimated to have the largest number of people living in forms of contemporary slavery (11 million). The data allow us to identify child labour, indicators of forced labour, and patterns of exploitation—including labour paid below the minimum wage—using bivariate analysis, factor analysis, and spatial analysis. The dataset also helps to advance our understanding of how to measure labour exploitation and modern slavery by showing the value of “found data” and participatory and citizen science approaches.\",\"PeriodicalId\":21795,\"journal\":{\"name\":\"Societies\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Societies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/soc14050062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Societies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/soc14050062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

新的家庭佣工数据集是迄今为止最大的一套家庭佣工调查数据集(n = 11 759)。我们对该数据集的分析揭示了印度这一 "难以发现 "人群的生活和工作特点--据估计,印度是当代奴役形式下生活人口最多的国家(1100 万)。利用这些数据,我们可以通过双变量分析、因素分析和空间分析来识别童工、强迫劳动指标和剥削模式--包括低于最低工资的劳动。通过展示 "发现数据 "以及参与式和公民科学方法的价值,该数据集还有助于推进我们对如何衡量劳动剥削和现代奴隶制的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Beyond the Walls: Patterns of Child Labour, Forced Labour, and Exploitation in a New Domestic Workers Dataset
The new Domestic Workers Dataset is the largest single set of surveys (n = 11,759) of domestic workers to date. Our analysis of this dataset reveals features about the lives and work of this “hard-to-find” population in India—a country estimated to have the largest number of people living in forms of contemporary slavery (11 million). The data allow us to identify child labour, indicators of forced labour, and patterns of exploitation—including labour paid below the minimum wage—using bivariate analysis, factor analysis, and spatial analysis. The dataset also helps to advance our understanding of how to measure labour exploitation and modern slavery by showing the value of “found data” and participatory and citizen science approaches.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Societies
Societies SOCIOLOGY-
CiteScore
3.10
自引率
9.50%
发文量
150
审稿时长
11 weeks
期刊最新文献
Antimicrobial Resistance: The Impact from and on Society According to One Health Approach Translating Values into Quality: How We Can Use Max Weber’s Ethic of Responsibility to Rethink Professional Ethics Everyday Life Infrastructure Impact on Subjective Well-Being in the European Union: A Gender Perspective Cross-Disciplinary Rapid Scoping Review of Structural Racial and Caste Discrimination Associated with Population Health Disparities in the 21st Century Syndemic Connections: Overdose Death Crisis, Gender-Based Violence and COVID-19
×
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