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Cited by 295

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Negotiating Public Space: Strategies and Styles of Migrant Female Domestic Workers in Singapore

Yeoh, Brenda S. A., Huang, Shirlena·1998·Urban Studies

Abstract

This paper investigates migrant domestic workers as a marginalised group in Singapore's urban landscape by examining the ways in which their social maps are structured and negotiated in relation to public space. It argues that the phenomenon of the 'divided city' evident in capitalist societies which reflects and reinforces the sexual division of labour in general is even more salient in the lived experiences of migrant female domestic workers who must contend not simply with the spatial expressions of patriarchy, but also with racialisation and other means of segregation. However, it is clear that these women are not entirely passive recipients of dominant practices and ideas, but are capable of different styles and strategies in the use, colonisation and even contestation of public domains.

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Crossref · 10.1080/0042098984925

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Metadata

Authors
Yeoh, B. S. A., & Huang, S.
Venue
Urban Studies
Published
1998-03
Volume
35
Issue
3
Pages
583-602
ISSN
  • 0042-0980 (ISSN-L)
  • 1360-063X
OpenAlex
W2100045138
Cited by
295
References
20
FWCI
18.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Negotiating Public Space: Strategies and Styles of Migrant Female Domestic Workers in Singapore. https://app.cochat.ai/papers/10.1080/0042098984925
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Yeoh, B. S. A., & Huang, S. (1998). Negotiating Public Space: Strategies and Styles of Migrant Female Domestic Workers in Singapore. Urban Studies. https://doi.org/10.1080/0042098984925

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.