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Mobilising nannies: Stratifying London's in-home childcare workforce

Mobilising nannies: Stratifying London's in-home childcare workforce
动员保姆:对伦敦的家庭托儿人员进行分层
批准号:
2883542
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
非正式托儿工作的格局正在迅速变化。尽管住家保姆行业仍然以移民为主,收入也很低(Cox, 2015),但在过去几年里,伦敦住家保姆的平均工资已经上升到每小时14.50英镑,比最低工资高出40%。*对保姆雇主的广泛研究表明,阶级(Calarco, 2014; Halpern-Manners et al., 2020; Macdonald, 2010; Reay, 2005)和移民身份(Anderson, 2000 & 2009; Busch, 2013; California, Waldinger & Lichter, 2003; Wrigley, 1995)对招聘实践都有影响,但对工人之间更广泛的分歧,以及这些分歧对工人有效动员能力的影响的调查相对较少。无论是在学术文献中还是在工人自己当中,目前都不明白是什么(如果有的话)统一了劳动力。因此,本研究的目的是:-对伦敦的家庭托儿所劳动力进行分层分析,探索工人的身份如何受到移民身份、民族、种族和阶级的影响;-捕捉这种分层对工人建立集体权力的能力的影响;-确定在伦敦组织保姆和互惠生的潜力和障碍,从而帮助基层团体和工会创造集体要求并动员工人。这个项目与保姆团结网络(一个保姆和互惠生的基层互助组织)合作,提出了一个激进的调查,探讨当今家庭托儿工作者集体动员的潜力。作为这个组织的执行董事,我担任了九年的保姆,这一独特的职位为我提供了前所未有的合作机会:与NSN的成员一起工作,我将确保一个植根于伦敦移民保姆社区的合作和解放过程。研究Questions1。根据工人阶级、种族、民族和移民背景的不同,家庭育儿劳动力是如何分层的?这种分层对工人建立集体权力的能力有什么影响?3. 大规模调动保姆和互惠生的障碍是什么?如何克服这些障碍?该项目将采用跨学科的定性方法(grekhamer, Koro-Ljungberg, Cilesiz, & Hayes, 2008),采用自我民族志和参与式民族志方法(Greene等人,1995)。研究将从参与者的协作开发过程开始,以制定道德考虑的解决方案,解决研究中的反身性,并排除可能阻碍研究的潜在偏见。从在线保姆平台(包括NSN)整理的文本数据将支持初步研究。* 2020年全国最低工资,由LPC整理
英文摘要
The landscape of informal childcare work is changing rapidly. Though the live-in sector remains largely migrant-dominated and poorly paid (Cox, 2015), the past few years have seen the rise of the average live-out nanny rate in London to £14.50 per hour-40% higher than the minimum wage.* Extensive research into nanny-employers has shown the effects that both class (Calarco, 2014; Halpern-Manners et al., 2020; Macdonald, 2010; Reay, 2005) and migration status (Anderson, 2000 & 2009; Busch, 2013; California, Waldinger & Lichter, 2003; Wrigley, 1995) have on hiring practices, yet there has been comparatively little inquiry into the broader divisions between workers, nor the impact of these divisions on workers' ability to mobilise effectively. Both in the academic literature and amongst workers themselves it is not currently understood what-if anything-unifies the workforce.Consequently, the purpose of this research is to:- Develop a stratified analysis of the in-home childcare workforce in London, exploring how workers' identities are impacted by migration status, ethnicity, race, and class;- Capture the influence of this stratification on workers' ability to build collective power;- Determine the potential for-and barriers to-organising nannies & au pairs in London, thereby aiding grassroots groups and trade unions to create collective demands and mobilise workers.Working in conjunction with the Nanny Solidarity Network (NSN), a grassroots mutual-aid organisation for nannies & au pairs, this project proposes a radical inquiry into the potential for collective mobilisation among in-home childcare workers today. My unique position as both a nanny of nine years and Executive Director of this group provides me with unprecedented access to a collaborative sample: working in tandem with members of the NSN, I will ensure a collaborative and emancipatory process that is rooted in London's migrant nanny community.Research Questions1. How is the in-home childcare workforce stratified according to workers' differing class, race, ethnic, and migration backgrounds?2. What is the impact of this stratification on workers' ability to build a collective power? 3. What are the barriers to the broad-scale mobilisation of nannies & au pairs and how can they be overcome?MethodologyThis project will take an interdisciplinary qualitative approach (Greckhamer, Koro-Ljungberg, Cilesiz, & Hayes, 2008), employing autoethnographic and participatory ethnographic methods (Greene et al., 1995). Research will begin with a collaborative development process alongside participants to develop solutions to ethical considerations, address reflexivity in the study, and troubleshoot the potential biases that may impede research. Textual data collated from online nanny platforms (including the NSN) will support the primary research.*The National Minimum Wage in 2020, collated by LPC
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