Red Skin, White Masks


Book Description

WINNER OF: Frantz Fanon Outstanding Book from the Caribbean Philosophical Association Canadian Political Science Association’s C.B. MacPherson Prize Studies in Political Economy Book Prize Over the past forty years, recognition has become the dominant mode of negotiation and decolonization between the nation-state and Indigenous nations in North America. The term “recognition” shapes debates over Indigenous cultural distinctiveness, Indigenous rights to land and self-government, and Indigenous peoples’ right to benefit from the development of their lands and resources. In a work of critically engaged political theory, Glen Sean Coulthard challenges recognition as a method of organizing difference and identity in liberal politics, questioning the assumption that contemporary difference and past histories of destructive colonialism between the state and Indigenous peoples can be reconciled through a process of acknowledgment. Beyond this, Coulthard examines an alternative politics—one that seeks to revalue, reconstruct, and redeploy Indigenous cultural practices based on self-recognition rather than on seeking appreciation from the very agents of colonialism. Coulthard demonstrates how a “place-based” modification of Karl Marx’s theory of “primitive accumulation” throws light on Indigenous–state relations in settler-colonial contexts and how Frantz Fanon’s critique of colonial recognition shows that this relationship reproduces itself over time. This framework strengthens his exploration of the ways that the politics of recognition has come to serve the interests of settler-colonial power. In addressing the core tenets of Indigenous resistance movements, like Red Power and Idle No More, Coulthard offers fresh insights into the politics of active decolonization.




The Freedom to Read


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Recognition or Disagreement


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Axel Honneth is best known for his critique of modern society centered on a concept of recognition. Jacques Rancière has advanced an influential theory of modern politics based on disagreement. Underpinning their thought is a concern for the logics of exclusion and domination that structure contemporary societies. In a rare dialogue, these two philosophers explore the affinities and tensions between their perspectives to provoke new ideas for social and political change. Honneth sees modern society as a field in which the logic of recognition provides individuals with increasing possibilities for freedom and is a constant catalyst for transformation. Rancière sees the social as a policing order and the political as a force that must radically assert equality. Honneth claims Rancière's conception of the political lies outside of actual historical societies and involves a problematic desire for egalitarianism. Rancière argues that Honneth's theory of recognition relies on an overly substantial conception of identity and subjectivity. While impassioned, their exchange seeks to advance critical theory's political project by reconciling the rift between German and French post-Marxist traditions and proposing new frameworks for justice.




The New Nationalism


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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.




The Politics of Recognition and Engagement


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This edited volume explores the different ways in which members of the European Union have interacted with Kosovo since it declared independence in 2008. While there is a tendency to think of EU states in terms of two distinct groups – those that have recognised Kosovo and those that have not – the picture is more complex. Taking into account also the quality and scope of their engagement with Kosovo, there are four broad categories of member states that can be distinguished: the strong and weak recognisers and the soft and hard non-recognisers. In addition to casting valuable light on the relations between various EU members and Kosovo, this book also makes an important contribution to the way in which the concepts of recognition and engagement, and their relationship to each other, are understood in academic circles and by policy makers.







Recognition Odysseys


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Compares the experiences of three central Louisiana Indian tribes with federal tribal recognition policy to illuminate the complex relationship between recognition policy and American Indian racial and tribal identities.




Armed Non-State Actors and the Politics of Recognition


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This edited volume examines asymmetric conflict dynamics through the politics of recognition vis-à-vis armed non-state actors. It explores a diverse range of case studies and considers the risks and opportunities that (non-)recognition may involve for transforming armed conflicts.




Redistribution Or Recognition?


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A debate between two philosophers who hold different views on the relation of redistribution to recognition.




Discriminating Data


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How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.