Mike Davis charts the expected global urbanization explosion over the next 30 years and points out that outside China most of the rest of the world's urban growth will be without industrialization or development, rather a 'peverse' urban boom in spite of stagnant or negative urban economic growth.

    The Social Movements Reader, Second Edition, provides the most important and readable articles and book selections on recent social movements from around the world.With selected readings and editorial material this book combines the strengths of a reader and a textbookReflects new developments in the study of social movements, both empirical and theoreticalProvides original texts, many of them classics in the field of social movements, which have been edited for the non-technical readerSidebars offer concise definitions of key terms as well as biographies of famous activists and chronologies of several key movementsRequires no prior knowledge about social movements or theories of social movements

    Now this sensational new book strikes back to defend the fascinating, real-life diversity of this most basic human faculty.With the erudite yet accessible style that marks his work as a journalist, Robert Lane Greene takes readers on a rollicking tour around the world, illustrating with vivid anecdotes the role language beliefs play in shaping our identities, for good and ill. Beginning with literal myths, from the Tower of Babel to the bloody origins of the word “shibboleth,” Greene shows how language “experts” went from myth-making to rule-making and from building cohesive communities to building modern nations. From the notion of one language’s superiority to the common perception that phrases like “It’s me” are “bad English,” linguistic beliefs too often define “us” and distance “them,” supporting class, ethnic, or national prejudices. In short: What we hear about language is often really about the politics of identity.Governments foolishly try to police language development (the French Academy), nationalism leads to the violent suppression of minority languages (Kurdish and Basque), and even Americans fear that the most successful language in world history (English) may be threatened by increased immigration. These false language beliefs are often tied to harmful political ends and can lead to the violation of basic human rights. Conversely, political involvement in language can sometimes prove beneficial, as with the Zionist  revival of Hebrew or our present-day efforts to provide education in foreign languages essential to business, diplomacy, and intelligence. And yes, standardized languages play a crucial role in uniting modern societies.As this fascinating book shows, everything we’ve been taught to think about language may not be wrong—but it is often about something more than language alone. You Are What You Speak will certainly get people talking.

    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    Updated information is included about the associated features, culture, age & gender features, prevalence, course & familial pattern of mental disorders. The DSM-IV-TR(R) brings this essential diagnostic tool to-date, to promote effective diagnosis, treatment & quality of care. One can get all the essential diagnostic information from the DSM-IV(R) along with important updates not in the '94 edition. Benefit from new research into Schizophrenia, Asperger's Disorder & other conditions. Utilize additional information about the epidemiology & other facets of DSM conditions. Update ICD-9-CM codes implemented since 1994 including Conduct Disorder, Dementia, Somatoform Disorders.Use of the manual DSM-IV-TR classification Multiaxial assessment Disorders usually 1st diagnosed in infancy, childhood or adolescenceDelirium, dementia & amnestic & other cognitive disordersMental disorders due to a general medical condition Substance-related disorders Schizophrenia & other psychotic disordersMood disorders Anxiety disordersSomatoform disordersFactitious disordersDissociative disordersSexual & gender identity disordersEating disorders Sleep disorders Impulse-control disorders not elsewhere classifiedAdjustment disordersPersonality disordersOther conditions that may be a focus of clinical attentionAdditional codes Appendix A: Decision trees for differential diagnosis Appendix B: Criteria sets & axes provided for further study Appendix C: Glossary of technical terms Appendix D: Highlights of changes in DSM-IV text revisionAppendix E: Alphabetical listing of DSM-IV-TR diagnoses & codesAppendix F: Numerical listing of DSM-IV-TR diagnoses & codesAppendix G: ICD-9-CM codes for selected general medical conditions & medication-induced disordersAppendix H: DSM-IV classification with ICD-10 codesAppendix I: Outline for cultural formulation & glossary of culture-bound syndromesAppendix J: DSM-IV contributorsAppendix K: DSM-IV text revision advisers

    From art museums and university hospitals to think tanks and church charities, over 1.5 million organizations of staggering diversity share the tax-exempt 501(c)(3) designation, if little else. Many social justice organizations have joined this world, often blunting political goals to satisfy government and foundation mandates. But even as funding shrinks and government surveillance rises, many activists often find it difficult to imagine movement-building outside the nonprofit model. The Revolution Will Not Be Funded gathers original essays by radical activists from around the globe who are critically rethinking the long-term consequences of this investment. Together with educators and nonprofit staff they finally name the “nonprofit industrial complex” and ask hard questions: How did politics shape the birth of the nonprofit model? How does 501(c)(3) status allow the state to co-opt political movements? Activists--or careerists? How do we fund the movement outside this complex? Urgent and visionary, The Revolution Will Not Be Funded is an unbeholden exposé of the “nonprofit industrial complex” and its quietly devastating role in managing dissent.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    What he has discovered is intriguing: When it comes to the most essential components of our personality—from friendliness and flexibility to openness and originality—the things we own and the way we arrange them can say more about who we are than even our most intimate conversations.Packed with original research and a wealth of fascinating stories, Snoop is a captivating guide to our not-so-secret selves, and reveals how intensely connected we are to the places in which we live and work.

    The methodology of the late Paulo Freire has helped to empower countless impoverished and illiterate people throughout the world. Freire's work has taken on especial urgency in the United States and Western Europe, where the creation of a permanent underclass among the underprivileged and minorities in cities and urban centers is increasingly accepted as the norm. With a substantive new introduction on Freire's life and the remarkable impact of this book by writer and Freire confidant and authority Donaldo Macedo, this anniversary edition of Pedagogy of the Oppressed will inspire a new generation of educators, students, and general readers for years to come.

    Lies My Teacher Told Me won the American Book Award and the Oliver Cromwell Cox Award for Distinguished Anti-Racist Scholarship.James W. Loewen, a sociology professor and distinguished critic of history education, puts 12 popular textbooks under the microscope-and what he discovers will surprise you. In his opinion, every one of these texts fails to make its subject interesting or memorable. Worse still is the proliferation of blind patriotism, mindless optimism and misinformation filling the pages.From the truth about Christopher Columbus to the harsh reality of the Vietnam War, Loewen picks apart the lies we've been told. This audiobook, narrated by Brian Keeler (The Hurricane, "All My Children") will forever change your view of the past.

    Armed with surprising data and endlessly fascinating examples, Adam Alter addresses the subtle but substantial ways in which outside forces influence us--such as color’s influence on mood, our bias in favor of names with which we identify, and how sunny days can induce optimism as well as aggression. Drunk Tank Pink proves that the truth behind our feelings and actions goes much deeper than the choices we take for granted every day.

    It provides dozens of new examples from actual research studies are used to provide illustrations of concepts and methods. Key terms are now called out and defined in boxes at the bottom of the pages where they appear, for easier study and review. In chapter 1, there are now separate descriptions and examples of the steps in the research process for quantitative and qualitative approaches, to underscore some of the fundamental differences. Chapter 2 has new discussions of participatory action research, instrumental and reflexive knowledge, the various audiences for social research findings, and researcher autonomy when research is commissioned. The discussion of social theories in Chapter 3 now covers levels of abstraction, and relationships among concepts

    Modonna Harris and her teenage daughter Brianna in Chicago often have no food but spoiled milk on weekends. After two decades of brilliant research on American poverty, Kathryn Edin noticed something she hadn’t seen since the mid-1990s — households surviving on virtually no income. Edin teamed with Luke Shaefer, an expert on calculating incomes of the poor, to discover that the number of American families living on $2.00 per person, per day, has skyrocketed to 1.5 million American households, including about 3 million children. Where do these families live? How did they get so desperately poor? Edin has procured rich — and truthful — interviews. Through the book’s many compelling profiles, moving and startling answers emerge. The authors illuminate a troubling trend: a low-wage labor market that increasingly fails to deliver a living wage, and a growing but hidden landscape of survival strategies among America’s extreme poor. More than a powerful exposé, $2.00 a Day delivers new evidence and new ideas to our national debate on income inequality.

    From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives.Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women​, diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.