• Summary
  • Contents
  • Subject index

We hear much about ‘race’ and ‘racism’ in public discourse but the terms are frequently used without clear definitions or practical examples of how these phenomena actually work.

Racisms introduces practical methods which enable students to think coherently and sociologically about this complex feature of the global landscape.

Steve Garner argues that there is no single monolithic object of analysis but rather a plural set of ideas and practices that result in the introduction of ‘race’ into social relations. This differs over time and from one place to another.

Focusing on the basics, Racisms:

Defines ‘race’, ‘racism’, ‘institutional racism’ and ‘racialization’; Provides examples of how these function in fields like the natural sciences and asylum; Clearly sets out theoretical arguments around collective identities (‘race’, class, gender, nation, religion); Uses empirical case studies, including some drawn from the author's own fieldwork; Points students and other readers toward sources of further web and text based information

Engaging and accessible this book provides a sign-posted route into key elements of contemporary debates.

Racisms is an ideal introduction for undergraduates studying ‘race’ and ethnicity, social divisions, stratification, and social work.

‘Race’, Class and Gender
‘Race’, class and gender

The main thrust of this book is to suggest ways in which racism (as defined in Chapter 1) can be conceptualised, analysed and understood. None of this is possible in a model where only ‘race’ matters in the construction of identities. Nobody is ‘just’ an Asian, a white or a black person. They are, for example, a middle-class professional Asian woman; a working-class white man; a lower middle-class black woman. If we separate these identities out, ignore, underplay or overplay elements of them, we miss the messy combinations that make social identities and racism such complex phenomena. ‘Race, class, and gender’, argue Anthias and Yuval-Davis (1993: 63–6) ‘are not independent variables that can be tacked onto each other ...

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