Whereas intersectionality presents a fruitful framework for theoretical and empirical research, some of its fundamental features present great confusion. The term ‘intersectionality’ and its metaphor of the crossroads seem to reproduce what it aims to avoid: conceiving categories as separate. Despite the attempts for developing new metaphors that illustrate the mutual constitution relation among categories, gender, race or class keep being imagined as discrete units that intersect, mix or combine. Here we identify two main problems in metaphors: the lack of (...) differentiation between positions and effects and the problem of reification. We then present a new metaphor that overcomes these two problems: a basket of apples. We argue that considering social positions as the diverse properties of different apples avoids reification by considering categories as properties and not as objects themselves, and at the same time it allows us to think about the effects dimension from a plural and contextual approach. With this shift, we propose a reframing of the discussion in debates on intersectionality theory on the relation among categories, their in/separability and fragmentation. (shrink)

Whereas intersectionality presents a fruitful framework for theoretical and empirical research, some of its fundamental features present great confusion. The term ‘intersectionality’ and its metaphor of the crossroads seem to reproduce what it aims to avoid: conceiving categories as separate. Despite the attempts for developing new metaphors that illustrate the mutual constitution relation among categories, gender, race or class keep being imagined as discrete units that intersect, mix or combine. Here we identify two main problems in metaphors: the lack of (...) differentiation between positions and effects and the problem of reification. We then present a new metaphor that overcomes these two problems: a basket of apples. We argue that considering social positions as the diverse properties of different apples avoids reification by considering categories as properties and not as objects themselves, and at the same time it allows us to think about the effects dimension from a plural and contextual approach. With this shift, we propose a reframing of the discussion in debates on intersectionality theory on the relation among categories, their in/separability and fragmentation. (shrink)

In this paper I defend anti-realism about race and a new theory of racialization. I argue that there are no races, only racialized groups. Many social constructionists about race have adopted racial formation theory to explain how ‘races’ are formed. However, anti-realists about race cannot adopt racial formation theory, because it assumes the reality of race. I introduce interactive constructionism about racialized groups as a theory of racialization for anti-realists about race. Interactive constructionism moves the discussion away from the dichotomous (...) (social vs. biological) metaphysics that has marred this debate, and posits that racialized groups are the joint products of a broad range of non-racial factors, which interact. (shrink)

Machine learning algorithms pervade contemporary society. They are integral to social institutions, inform processes of governance, and animate the mundane technologies of daily life. Consistently, the outcomes of machine learning reflect, reproduce, and amplify structural inequalities. The field of fair machine learning has emerged in response, developing mathematical techniques that increase fairness based on anti-classification, classification parity, and calibration standards. In practice, these computational correctives invariably fall short, operating from an algorithmic idealism that does not, and cannot, address systemic, Intersectional (...) stratifications. Taking present fair machine learning methods as our point of departure, we suggest instead the notion and practice of algorithmic reparation. Rooted in theories of Intersectionality, reparative algorithms name, unmask, and undo allocative and representational harms as they materialize in sociotechnical form. We propose algorithmic reparation as a foundation for building, evaluating, adjusting, and when necessary, omitting and eradicating machine learning systems. (shrink)

This dissertation addresses the question of how to reconceptualize “women” in order to do a more intersectional feminism. Intersectionality—the idea that gender, race, class, sexuality, and so on operate not as separate entities but as mutually constructing phenomena—has become a gold standard in contemporary feminist scholarship. In particular, intersectionality has achieved success in showing that the old conception of women as a single, uniform concept marginalizes women and others who exist at the intersecting axes of multiple oppressions (e.g., women of (...) color, women in the global South, working-class women, and/or queer and trans people), and thus, demonstrating the need to develop a new way of conceptualizing women. However, the question of what such a new conception would be remains unanswered. Specifically, if feminist theory today is to destabilize the old notion of “women” that relegates multiply oppressed women to the margin of feminism, and yet still needs to use some notion of “women” to critically analyze how the social structure of sexist oppression operates to subordinate women and to dismantle this oppression, how should the concept “women” be reformulated? In this dissertation, I argue that we need to understand women as a concept that is open to constant redefinition, which is socio-historically situated in the actualities of oppression. This is what I refer to as the “situated redefinition” model of women, which is formulated in more detail as follows: -/- The Situated Redefinition Model of Women (SR) – The concept “women” should be always open to being redefined in a way that it could better serve political goals grounded in the actual, daily lives of the marginalized. That is, “women” should be always open to new meanings and provisional definitions that the marginalized would find more useful to achieve political goals, which grow out of their concrete experiences in the current intersecting structures of oppression. -/- My central argument is that we need to understand the concept “women” according to the situated redefinition model, in order to employ this concept for doing intersectional feminism. To support this thesis, the dissertation is divided into two main parts. By engaging with the intersectionality literature, critical race feminisms, Asian/American feminisms, and recent critiques of intersectionality, the first part of the dissertation elucidates what exactly it means for feminism to be more “intersectional.” The second part develops the situated redefinition model and articulates why this model is needed to do intersectional feminism, drawing on the social/political philosophy literature on non-ideal theory, postmodern discussions of universality, and feminist discussions of identity politics. Broadly, this dissertation seeks to shed new light on how we understand and use the concept women for feminist ends. My conceptual model offers a way for feminist scholar-activists to subvert the essentialist/exclusionary notion of “women” without abandoning altogether feminist-political deployments of the concept “women” for the purpose of ending sexist and intersecting oppressions. (shrink)