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Data, desire and recognition: Learning to identify a ‘prostitute’ in Dakar

Accepted version
Peer-reviewed

Repository DOI


Type

Article

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Authors

Poleykett, B 

Abstract

Through an examination of an investigation of commercial sexual practices conducted by an NGO, I explore how a public health programme creates its object on the ground through painstaking fieldwork. This paper is about a particular emplaced, embodied, visual practice; NGO fieldworkers identify and follow through the city women whose bodily dispositions identify them as ‘prostitutes’, although the women themselves vehemently reject this label. A particular politics of recognition emerges around uneven visibilities of women in the city. The fieldworkers labour to make the banality of ‘prostitution’ and its practices visible to the ‘prostitutes’ themselves, while at the same time cultivating a visual expertise in the recognition and classification of a putatively culturally specific bodily repertoire. Paying close attention to the techniques fieldworkers use to read public bodies shows how ordinary practices of urban bodily cultivation, everyday Dakarois technologies of gender, become progressively weighted with risk as they tangle with the evolving categories of a public health programme. Risk emerges here via a series of unequal exchanges within the visual economy of the city. Fieldworkers may find themselves exposed to new forms of reputational risk while they labour to define the social, sexual and semantic complexities of genn (going out).

Description

Keywords

sex work, risk, HIV, global health, sensory knowledge, sympathy, social work, Dakar

Journal Title

Ethnography

Conference Name

Journal ISSN

1466-1381
1741-2714

Volume Title

17

Publisher

SAGE
Sponsorship
The research for this paper was funded by an Economic and Social Research Council doctoral award (grant no. ES/I903364/1). The material was prepared for publication during a postdoctoral fellowship at the London School of Hygiene and Tropical Medicine as a part of P.W. Geissler's Research Leadership Award (F 02 116 D; Geissler).