被困在边境内:新冠肺炎封锁期间德国农业季节性移民工人被剥削;安排演员并理解他们的角色

L. Molnar
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引用次数: 0

摘要

尽管欧洲边境因新冠肺炎疫情而关闭,但欧洲目睹了罗马尼亚季节性工人涌入德国。尽管两国政府同意在最严格遵守卫生限制和工人权利的情况下允许这样做,但不久之后,媒体开始报道不遵守冠状病毒相关措施和工人劳动权利的情况。根据日常活动方法的理论框架及其更新,本案例研究结合了新闻材料(N=140)、Facebook帖子(N=93)和对农业季节性工人的采访(N=5)的收集,并确定了剥削行为和参与者。研究结果表明,这些行为的实施者是某些中间人和农民。最危险的季节性工人是那些识字率低、没有掌握德语、经济不稳定、不愿意寻求当局帮助的人。发生剥削的空间是网络空间或孤立的农村农场。七名监护人和七名超级管理员在保护农场工人方面发挥了相当大的作用,但在招聘过程中却没有。提出了情境预防技术,如创建移动应用程序,告知员工自己的权利,并允许他们远程报告违规行为,以及与在线平台服务合作,自动标记欺诈性招聘广告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trapped Within Borders: Exploitation of Migrant Seasonal Workers in German Agriculture During COVID-19 Lockdown; Placing the Actors and Understanding Their Roles
While European borders were closed because of the COVID-19 pandemic, Europe witnessed the exodus of Romanian seasonal workers to Germany. Although both countries’ governments agreed to allow this under the condition of the strictest adherence to the sanitary restrictions and workers’ rights, soon after, the media began to report situations of non-adherence to the coronavirus-related measures and workers’ labor rights. Following the theoretical framework of the Routine Activities Approach and its updates, this case study combines the collection of press material (N=140), Facebook posts (N=93), and interviews with seasonal workers in agriculture (N=5) and identifies the exploitative behaviors and actors involved. The results suggest that the perpetrators of these behaviors were certain intermediaries as well as farmers. The seasonal workers most at-risk were those with poor literacy who had not mastered the German language, were financially precarious, and were unwilling to seek the authorities’ help. The spaces in which the exploitation occurred were cyberspace or isolated rural farms. Seven guardians and seven super-controllers played a considerable role in protecting the workers on the farms, but not during the recruitment process. Situational prevention techniques, such as the creation of a mobile application to inform workers of their rights and allow them to report violations remotely, and collaboration with online platform services to flag fraudulent job advertisements automatically are proposed.
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