![]() | The examples and perspective in this article deal primarily with the United States and do not represent a worldwide view of the subject. (February 2025) |
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Intersectionality is an analytical framework for understanding how groups' and individuals' social and political identities result in unique combinations of discrimination and privilege. Examples of these intersecting and overlapping factors include gender, caste, sex, race, ethnicity, class, sexuality, religion, disability, physical appearance, and age.[1] These factors can lead to both empowerment and oppression.[2][3]
Intersectionality arose in reaction to both white feminism and the then male-dominated black liberation movement, citing the "interlocking oppressions" of racism, sexism and heteronormativity. It broadens the scope of the first and second waves of feminism, which largely focused on the experiences of women who were white, cisgender, and middle-class,[4] to include the different experiences of women of color, poor women, immigrant women, and other groups, and aims to separate itself from white feminism by acknowledging women's differing experiences and identities.[5]
The term intersectionality was coined by Kimberlé Crenshaw in 1989.[6]: 385 She describes how interlocking systems of power affect those who are most marginalized in society.[6] Activists and academics use the framework to promote social and political egalitarianism.[5] Intersectionality opposes analytical systems that treat each axis of oppression in isolation. In this framework, for instance, discrimination against black women cannot be explained as a simple combination of misogyny and racism, but as something more complicated.[7]
Intersectionality has heavily influenced modern feminism and gender studies.[8] Its proponents suggest that it promotes a more nuanced and complex approach to addressing power and oppression, rather than offering simplistic answers.[9][8] Its critics suggest that the concept is too broad or complex,[10] tends to reduce individuals to specific demographic factors,[10][11] is used as an ideological tool,[12][11] and is difficult to apply in research contexts.[13][14][15]
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