In this book, Daniel Shapiro argues that the dominant positions in contemporary political philosophy - egalitarianism, positive rights theory, communitarianism, and many forms of liberalism - should converge in a rejection of central welfare state institutions. He examines how major welfare institutions, such as government-financed and -administered retirement pensions, national health insurance, and programs for the needy, actually work. Comparing them to compulsory private insurance and private charities, Shapiro argues that the dominant perspectives in political philosophy mistakenly think that their principles support the welfare state. Instead, egalitarians, positive rights theorists, communitarians, and liberals have misunderstood the implications of their own principles, which in fact support more market-based or libertarian institutional conclusions than they may realize. Shapiro's book is unique in its combination of political philosophy with social science. Its focus is not limited to any particular country; rather it examines welfare states in affluent democracies and their market alternatives.
Challenging the prevailing understanding of the authority of law, Daniel Mark offers a theory of moral obligation that is rooted both in command and in the law’s orientation to the common good. When and why do we have an obligation to obey the law? Prevailing theories in the philosophy of law, starting with the work of H. L. A. Hart and Joseph Raz, fail to provide definitive answers regarding the nature of legal obligation. In this highly original and effective new work, Daniel Mark argues that there is a prima facie moral obligation to obey the law simply because it is the law. In Mark’s view, the best concept of law—one that allows for the possibility of justified authority and obligation—defines law as a set of commands oriented to the common good. Legal obligation, he proposes, shares defining features with moral obligation and with religious obligation while aligning wholly with neither. This philosophically coherent view of legal obligation offers a viable framework for analyzing important and seemingly paradoxical puzzles about the law, such as why civil disobedience is punished as lawbreaking or why war-crimes trials for legal but immoral acts present a moral quandary. By reconciling the concept of law as command with the role of law in promoting the common good, The Nature of Law provides an original and important scholarly contribution to the fields of legal philosophy and political thought.
From the Publishers Weekly review: "Two experts from Yale tackle the business wake-up-call du jour-environmental responsibility-from every angle in this thorough, earnest guidebook: pragmatically, passionately, financially and historically. Though "no company the authors know of is on a truly long-term sustainable course," Esty and Winston label the forward-thinking, green-friendly (or at least green-acquainted) companies WaveMakers and set out to assess honestly their path toward environmental responsibility, and its impact on a company's bottom line, customers, suppliers and reputation. Following the evolution of business attitudes toward environmental concerns, Esty and Winston offer a series of fascinating plays by corporations such as Wal-Mart, GE and Chiquita (Banana), the bad guys who made good, and the good guys-watchdogs and industry associations, mostly-working behind the scenes. A vast number of topics huddle beneath the umbrella of threats to the earth, and many get a thorough analysis here: from global warming to electronic waste "take-back" legislation to subsidizing sustainable seafood. For the responsible business leader, this volume provides plenty of (organic) food for thought.
Someone is playing mind games with a cyber genius in this “fiendishly inventive psychological thriller” by the author of Stolen (Lee Child). Charlie Giles is at the top of his game. An electronics superstar, he’s sold his startup to a giant Boston firm, where he’s now senior director. He’s treated like a VIP everywhere he goes . . . until everything in Charlie’s neatly ordered world starts to go terrifyingly wrong. Charlie’s mother is hospitalized, his prestigious job is in jeopardy, his inventions are wrenched away from him, and one by one, his former colleagues are being murdered. Every shred of evidence points to Charlie as a cold-blooded killer. And soon he is unable to tell whether he’s succumbed to the pressures of work and become the architect of his own destruction, or whether he’s the victim of a relentless, diabolical attack. Now he must save his own life—all the while realizing that nothing can be trusted, least of all his own fractured mind. “Hits all the right notes. Terrific stuff.” —John T. Lescroart “A high-speed thrill ride, filled with shocks and mind-bending twists.” —Tess Gerritsen “Not just a great thriller debut, but a great thriller, period.” —Lee Child
Most books in English on poetics deal with abstract and theoretical issues, with a few , mostly English, examples, whereas this book focuses on the formal, aiming to provide a concise, systematic overview of the linguistic context of European poetics. It is richly documented with concrete examples, particularly from Hungarian and other languages and traditions of Europe.
This book defines and examines the counterpart of Schur functions and Schur analysis in the slice hyperholomorphic setting. It is organized into three parts: the first introduces readers to classical Schur analysis, while the second offers background material on quaternions, slice hyperholomorphic functions, and quaternionic functional analysis. The third part represents the core of the book and explores quaternionic Schur analysis and its various applications. The book includes previously unpublished results and provides the basis for new directions of research.
Justice, Care, and the Welfare State explores contemporary welfare state reform from a moral and philosophical perspective. It offers detailed arguments about the nature of justice in the areas of family policy, education, health care, old age pensions and long-term care, disability, and employment and poverty support. Challenging the ideal nature of much contemporary political philosophy, Engster applies political philosophy to public policy issues inorder to generate concrete policy recommendations for better supporting social justice.
A dominant figure in American poetry for more than thirty-five years, Louise Glück has been the recipient of virtually every major poetry award. She won the Nobel Prize in Literature in 2020 and was named U.S. poet laureate for 2003–2004. In a full-length study of her work, Daniel Morris explores how this prolific poet utilizes masks of characters from history, the Bible, and even fairy tales. Morris treats Glück’s persistent themes—desire, hunger, trauma, survival—through close reading of her major book-length sequences from the 1990s: Ararat, Meadowlands, and The Wild Iris. An additional chapter devoted to The House on Marshland (1975) shows how its revision of Romanticism and nature poetry anticipated these later works. Seeing Glück’s poems as complex analyses of the authorial self via sustained central metaphors, Morris reads her poetry against a narrative pattern that shifts from the tones of anger, despair, and resentment found in her early Firstborn to the resignation of Ararat—and proceeds in her latest volumes, including Vita Nova and Averno, toward an ambivalent embrace of embodied life. By showing how Glück’s poems may be read as a form of commentary on the meanings of great literature and myth, Morris emphasizes her irreverent attitude toward the canons through which she both expresses herself and deflects her autobiographical impulse. By discussing her sense of self, of Judaism, and of the poetic tradition, he explores her position as a mystic poet with an ambivalent relationship to religious discourse verging on Gnosticism, with tendencies toward the ancient rabbinic midrash tradition of reading scripture. He particularly shows how her creative reading of past poets expresses her vision of Judaism as a way of thinking about canonical texts. The Poetry of Louise Glück is a quintessential study of how poems may be read as a form of commentary on the meanings of great literature and myth. It clearly demonstrates that, through this lens of commentary, one can grasp more firmly the very idea of poetry itself that Glück has spent her career both defining and extending.
A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author— a noted expert in quantitative teaching —has written a quick go-to reference for performing essential statistical analyses and data management tasks in R. Requiring only minimal prior knowledge, the book introduces concepts needed for an immediate yet clear understanding of statistical concepts essential to interpreting software output. The author explores univariate, bivariate, and multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R computing capabilities needed to write theses, dissertations, as well as research publications. The book is comprehensive in its coverage of univariate through to multivariate procedures, while serving as a friendly and gentle introduction to R software for the newcomer. This important resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical software Provides a resource for students and professionals in the social, behavioral, and natural sciences Puts the emphasis on the computational tools used in the discovery of empirical patterns Features a variety of popular statistical analyses and data management tasks that can be immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started quickly performing essential tasks in data analysis and data science Written for students, professionals, and researchers primarily in the social, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis fast, with an emphasis on drawing conclusions from empirical observations. The book can also serve as a primary or secondary textbook for courses in data analysis or data science, or others in which quantitative methods are featured.
This important book offers strategies, models, and concrete ideas for better serving newcomer immigrant and refugee youth in U.S. schools, with a focus on grades 6–12. The authors present 20 strategies grouped under three categories: (1) classroom and instructional design, (2) school design, and (3) extracurricular, community, and alumni partnerships. Each chapter provides research-based information, classroom examples, tips for implementing each strategy, and additional resources. Readers will find engaging profiles of schools, students, and alumni interspersed throughout the book, offering both varied perspectives and practical advice. Humanizing Education for Immigrant and Refugee Youth will assist today’s educators, school leaders, policymakers, and scholars interested in the holistic success and well-being of immigrant and refugee students. Book Features: Practical strategies for educators and school leaders are rooted in empirical research and classroom narratives from across the United States.Multiple, real-life examples are used to illustrate each strategy.Each chapter concludes with a brief summary and recommended resources.School and student profiles demonstrate what the strategies look like in practice, as well as their benefits for students.Diverse perspectives are presented by researchers, classroom teachers, school leaders, and newcomer students.
This important volume applies hypnotic principles to the specific challenges of behavioral medicine. Drawing from extensive clinical evidence and experience, the authors describe how hypnobehavioral techniques can help in the treatment of psychophysiological disorders.
Applied Univariate, Bivariate, and Multivariate Statistics Using Python A practical, “how-to” reference for anyone performing essential statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a comprehensive introduction to a wide range of statistical methods performed using Python in a single, one-stop reference. The book contains user-friendly guidance and instructions on using Python to run a variety of statistical procedures without getting bogged down in unnecessary theory. Throughout, the author emphasizes a set of computational tools used in the discovery of empirical patterns, as well as several popular statistical analyses and data management tasks that can be immediately applied. Most of the datasets used in the book are small enough to be easily entered into Python manually, though they can also be downloaded for free from www.datapsyc.com. Only minimal knowledge of statistics is assumed, making the book perfect for those seeking an easily accessible toolkit for statistical analysis with Python. Applied Univariate, Bivariate, and Multivariate Statistics Using Python represents the fastest way to learn how to analyze data with Python. Readers will also benefit from the inclusion of: A review of essential statistical principles, including types of data, measurement, significance tests, significance levels, and type I and type II errors An introduction to Python, exploring how to communicate with Python A treatment of exploratory data analysis, basic statistics and visual displays, including frequencies and descriptives, q-q plots, box-and-whisker plots, and data management An introduction to topics such as ANOVA, MANOVA and discriminant analysis, regression, principal components analysis, factor analysis, cluster analysis, among others, exploring the nature of what these techniques can vs. cannot do on a methodological level Perfect for undergraduate and graduate students in the social, behavioral, and natural sciences, Applied Univariate, Bivariate, and Multivariate Statistics Using Python will also earn a place in the libraries of researchers and data analysts seeking a quick go-to resource for univariate, bivariate, and multivariate analysis in Python.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International license. It is free to read at Oxford Scholarship Online and offered as a free PDF download from OUP and selected open access locations. Each year, tens of thousands of children are conceived with donated gametes (sperm or eggs). By some estimates, there are over one million donor-conceived people in the United States and, of course, many more the world over. Some know they are donor-conceived. Some do not. Some know the identity of their donors. Others never will. Questions about what donor-conceived people should know about their genetic progenitors are hugely significant for literally millions of people, including donor-conceived people, their parents, and donors. But the practice of gamete donation also provides a vivid occasion for thinking about questions that matter to everyone. What is the value of knowing who your genetic progenitors are? How are our identities bound up with knowing where we come from? What obligations do parents have to their children? And what makes someone a parent in the first place? In Conceiving People: Identity, Genetics and Gamete Donation, Daniel Groll argues that people who plan to create a child with donated gametes should choose a donor whose identity will be made available to the resulting child. This is not, Groll argues, because having genetic knowledge is fundamentally important. Rather, it is because donor-conceived people are likely to develop a significant interest in having genetic knowledge and parents must help satisfy their children's significant interests. In other words, because a donor-conceived person is likely to care about having genetic knowledge, their parents should care too.
The Case for Patents offers an affirmative case for the many economic benefits of the patent system and shows how patents provide incentives for invention, innovation, and technological change. The discussion highlights the many contributions of patents to economic growth and development. The Case for Patents helps restore balance to public policy debates by recognizing the important contributions of the patent system.
This book explores citizens' perceptions and experiences of security threats in contemporary Britain, based on twenty focus groups and a large sample survey conducted between April and September 2012. The data is used to investigate the extent to which a diverse public shares government framings of the most pressing security threats, to assess the origins of perceptions of security threats, to investigate what makes some people feel more threatened than others, to examine the effects of threats on other areas of politics and to evaluate the effectiveness of government messages about security threats. We demonstrate widespread heterogeneity in perceptions of issues as security threats and in their origins, with implications for the extent to which shared understandings of threats are an attainable goal. While this study focuses on the British case, it seeks to make broader theoretical and methodological contributions to Political Science, International Relations, Political Psychology, and Security Studies.
The Affordable Care Act (ACA), the sweeping health care reform enacted by the Obama Administration in 2010, continues to be a contentious policy at the center of highly polarized political debates. Both before and after the law’s passage, political elites on both sides of the issue attempted to sway public opinion through two traditional approaches: messaging and policymaking itself. They operated under the assumption that the public’s personal experiences toward the law would make them more favorable. Yet these tried-and-true methods have had limited influence on public attitudes toward the ACA. Public opinion towards the ACA remained stable from 2010 to 2016, with more Americans opposing the law than supporting it. It was only after Donald Trump was elected in 2016 and the prospect of the law being repealed became a reality that public opinion swung in favor of the ACA. If traditional methods of influencing public opinion had little impact on attitudes towards the ACA, what did? In Stable Condition, political scientist Daniel J. Hopkins draws on survey data from 2009 to 2020 to assess how a variety of factors such as personal experience, political messaging, and partisanship did or did not affect public opinion on the ACA. Hopkins finds that although personal experience with the ACA’s Medicaid expansion increased favorability among low-income Americans, it did not have a broader overall impact on public opinion. Personal experience with the Health Insurance Marketplace did not increase wider support for the ACA either. Due to the complex nature of the law, users of the Marketplace often did not realize they were benefiting from the ACA. Therefore, perceptions of the Marketplace were shaped by high-profile issues with the enrollment website and opposition to the individual mandate. These experiences ultimately offset one another, resulting in little discernable change in public opinion overall. Hopkins argues that political polarization was also responsible for elite’s limited influence and that public opinion on the ACA was largely determined by partisanship and political affiliation. Americans quickly aligned with their party’s stance on the law and were resistant to changing their beliefs despite the efforts of political elites. Stable Condition is an illuminating examination of the limits of elites’ influence and the forces that shaped public opinion about the Affordable Care Act.
Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.
A scientific approach to corporate reputation from the field’s leading scholar. Public opinion is a core factor of any organization’s success—and sometimes its failings. Whether through crisis, mismanagement, or sudden shifts in public sensibility, an organization can run afoul in the span of a Tweet. In Reputation Analytics, Daniel Diermeier offers the first rigorous analytical framework for understanding and managing corporate reputation and public perception. Drawing on his expertise as a political scientist and management scholar, Diermeier incorporates lessons from game theory, psychology, and text analytics to create a methodology that has immediate application in both scholarship and practice. A milestone work from one of social science’s most eminent scholars, Reputation Analytics unveils an advanced understanding of an elusive topic, resulting in an essential guide for academics and readers across industries.
In recent years, the world witnessed the rise of big digital platforms like Amazon, Airbnb, and Uber. The emerging research field of platform urbanism focuses on these developments and concentrates on platforms and their impact on everyday life in urban space. This book introduces a novel approach to the problems of accessibility and opacity in this area of research. In order to explore the black box platform urbanism more thoroughly, different participatory mapping approaches of critical cartography are examined. The potential of so-called counter-mapping practices and related approaches for a deeper exploration of platform urbanism is discussed. The author thus establishes the nexus between participatory mapping approaches of critical cartography and their application potential for platform urbanism and provides numerous starting points for future research.
This volume contains the proceedings of the NSF-CBMS Regional Conference on Topological and Geometric Methods in QFT, held from July 31–August 4, 2017, at Montana State University in Bozeman, Montana. In recent decades, there has been a movement to axiomatize quantum field theory into a mathematical structure. In a different direction, one can ask to test these axiom systems against physics. Can they be used to rederive known facts about quantum theories or, better yet, be the framework in which to solve open problems? Recently, Freed and Hopkins have provided a solution to a classification problem in condensed matter theory, which is ultimately based on the field theory axioms of Graeme Segal. Papers contained in this volume amplify various aspects of the Freed–Hopkins program, develop some category theory, which lies behind the cobordism hypothesis, the major structure theorem for topological field theories, and relate to Costello's approach to perturbative quantum field theory. Two papers on the latter use this framework to recover fundamental results about some physical theories: two-dimensional sigma-models and the bosonic string. Perhaps it is surprising that such sparse axiom systems encode enough structure to prove important results in physics. These successes can be taken as encouragement that the axiom systems are at least on the right track toward articulating what a quantum field theory is.
An introduction to psychology doesn't have to be science-challenged to be student-friendly. After all, what more powerful tool is there for captivating students than the real science behind what we know? This skillful presentation centers on a smart selection of pioneering and cutting-edge experiments and examples, it effectively conveys the remarkable achievements of psychology (with the right amount of critical judgment) to introduce the field's fundamental ideas to students" - from publisher.
Revised and updated, this practical handbook is a succinct how-to guide to the psychiatric interview. In a conversational style with many clinical vignettes, Dr. Carlat outlines effective techniques for approaching threatening topics, improving patient recall, dealing with challenging patients, obtaining the psychiatric history, and interviewing for diagnosis and treatment. This edition features updated chapters on the major psychiatric disorders, new chapters on the malingering patient and attention-deficit hyperactivity disorder, and new clinical vignettes. Easy-to-photocopy appendices include data forms, patient education handouts, and other frequently referenced information. Pocket cards that accompany the book provide a portable quick-reference to often needed facts.
Focusing on the practical skills needed to establish rapport with patients and gain valuable clinical insights,The Psychiatric Interview, 5th Edition, offers a practical, concise approach to improving interviewing skills. Noted psychiatrist and award-winning mental health journalist Dr. Daniel J. Carlat uses a proven combination of mnemonics, specific techniques for approaching threatening topics, and phrasing examples to illustrate the nuances of the interviewing process, making this easy-to-digest text essential reading for trainees and practitioners in psychiatry, psychology, nursing, social work, and related fields.
Between the independence of the colonies and the start of the Jacksonian age, American readers consumed an enormous number of literary texts called "fragments."American Fragments argues that this archive of deliberately unfinished writing reimagined the place of marginalized individuals in a country that was itself still unfinished.
Rutter’s Child and Adolescent Psychiatry has become an established and accepted textbook of child psychiatry. Now completely revised and updated, the fifth edition provides a coherent appraisal of the current state of the field to help trainee and practising clinicians in their daily work. It is distinctive in being both interdisciplinary and international, in its integration of science and clinical practice, and in its practical discussion of how researchers and practitioners need to think about conflicting or uncertain findings. This new edition now offers an entirely new section on conceptual approaches, and several new chapters, including: neurochemistry and basic pharmacology brain imaging health economics psychopathology in refugees and asylum seekers bipolar disorder attachment disorders statistical methods for clinicians This leading textbook provides an accurate and comprehensive account of current knowledge, through the integration of empirical findings with clinical experience and practice, and is essential reading for professionals working in the field of child and adolescent mental health, and clinicians working in general practice and community pediatric settings.
If one were forced to use a single key word to describe the decade of the 1980's, a very prominent one would be "technology. " Leading the forefront of tech nology advancement were breakthroughs in electronics. Devices that were uncommon or unknown in 1980 became commonplace, and almost indispens able, by 1989. This trend has continued into the 1990's and it does not seem to be abating in any way. Microwave ovens, video recorders, telephone answer ing machines, compact disc players, computers, and a host of smaller or less sophisticated devices now appear in most households. The development of small and inexpensive computers, i. e. , personal computers, has placed computing resources within reach of many more people. In addition, many traditional, and largely mechanical devices, have been enhanced by electronics. For example, specialized microprocessors are combined with arrays of electronic sensors to control and monitor sophisticated engineering components in most new auto mobiles. In this and many other ways, we are touched by the new electronics in almost every aspect of our daily lives. Initially, personal computers were little more than toys. They contained only a small fraction of the computing power of their immediate ancestors, the mini computers and mainframe computers. However, rapid improvements in integ rated circuit design and chip manufacture produced regular reductions in size and cost of computer components. During the same time, processor speed and sophistication increased.
The old saying does often seem to hold true: the rich get richer while the poor get poorer, creating a widening gap between those who have more and those who have less. The sociologist Robert K. Merton called this phenomenon the Matthew effect, named after a passage in the gospel of Matthew. Yet the more closely we examine the sociological effects of this principle, the more complicated the idea becomes. Initial advantage doesn't always lead to further advantage, and disadvantage doesn't necessarily translate into failure. Does this theory need to be revisited? Merton's arguments have significant implications for our conceptions of equality and justice, and they challenge our beliefs about culture, education, and public policy. His hypothesis has been examined across a variety of social arenas, including science, technology, politics, and schooling, to see if, in fact, advantage begets further advantage. Daniel Rigney is the first to evaluate Merton's theory of cumulative advantage extensively, considering both the conditions that uphold the Matthew effect and the circumstances that cause it to fail. He explores whether growing inequality is beyond human control or disparity is socially constructed and subject to change. Reexamining our core assumptions about society, Rigney causes us to rethink the sources of inequity.
This book offers an original reading of Carlo Ginzburg’s work, tracing his trajectory in the context of Italian micro-history, his debates on the objectivity of historical knowledge, and the connection of his work to the expanded perspectives constructed in recent decades by global history. Ginzburg's theories have achieved notoriety not only in the field of history but also among the wider public. This volume uses Ginzburg’s own aesthetic and intellectual practices in its analysis, and it deciphers the elements that drove and influenced the making of his work. By highlighting the procedures that Ginzburg has constructed to respond to problems of cultural history, the book also pays close attention to Erich Auerbach and Aby Warburg, whose influences played a crucial role in reformulating Ginzburg’s conception of micro-history. From there, the volume demonstrates the radicality of Ginzburg's micro-history through the discussion of some of his most recent contributions to international historiographical debates. Thought-provoking and thoroughly researched, Deciphering Carlo Ginzburg is an innovative study in Ginzburg’s methods and theories.
Since the 1970s, it has been argued that Abstract Expressionism was exhibited abroad by the post-war US establishment in an attempt to culturally match and reinforce its newfound economic and military dominance. The account of Abstract Expressionism developed by the American critic Clement Greenberg is often identified as central to these efforts. However, this book rereads Greenberg's account through Theodor Adorno and Maurice Merleau-Ponty in order to contend that Greenberg's criticism in fact testifies to how Abstract Expressionism opposes the ends to which it was deployed. With reference not only to the most famous artists of the movement, but also female artists and artists of colour whom Greenberg himself neglected, such as Joan Mitchell and Norman Lewis, it is argued that, far from reinforcing the capitalist status quo, Abstract Expressionism engages corporeal and affective elements of experience dismissed or delegitimated by capitalism, and promises a world that would do justice to them.
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