AFTER A CHANCE circumstance, Martin Gelman reconnects with his first wife of over forty years ago. The trick is, he is an admired doctor and married, and thousands of miles away. This is that journey, sublimated in poetry and pictures, destined to unfold in real time, with each installment of Soft Designs.
Is the death penalty a more effective deterrent than lengthy prison sentences? Does a judge's gender influence their decisions? Do independent judiciaries promote economic freedom? Answering such questions requires empirical evidence, and arguments based on empirical research have become an everyday part of legal practice, scholarship, and teaching. In litigation judges are confronted with empirical evidence in cases ranging from bankruptcy and taxation to criminal law and environmental infringement. In academia researchers are increasingly turning to sophisticated empirical methods to assess and challenge fundamental assumptions about the law. As empirical methods impact on traditional legal scholarship and practice, new forms of education are needed for today's lawyers. All lawyers asked to present or assess empirical arguments need to understand the fundamental principles of social science methodology that underpin sound empirical research. An Introduction to Empirical Legal Research introduces that methodology in a legal context, explaining how empirical analysis can inform legal arguments; how lawyers can set about framing empirical questions, conducting empirical research, analysing data, and presenting or evaluating the results. The fundamentals of understanding quantitative and qualitative data, statistical models, and the structure of empirical arguments are explained in a way accessible to lawyers with or without formal training in statistics. Written by two of the world's leading experts in empirical legal analysis, drawing on years of experience in training lawyers in empirical methods, An Introduction to Empirical Legal Research will be an invaluable primer for all students, academics, or practising lawyers coming to empirical research - whether they are embarking themselves on an empirical research project, or engaging with empirical arguments in their field of study, research, or practice.
The first history of the deaccession of objects from museum collections that defends deaccession as an essential component of museum practice. Museums often stir controversy when they deaccession works—formally remove objects from permanent collections—with some critics accusing them of betraying civic virtue and the public trust. In fact, Martin Gammon argues in Deaccessioning and Its Discontents, deaccession has been an essential component of the museum experiment for centuries. Gammon offers the first critical history of deaccessioning by museums from the seventeenth to the twenty-first century, and exposes the hyperbolic extremes of “deaccession denial”—the assumption that deaccession is always wrong—and “deaccession apology”—when museums justify deaccession by finding some fault in the object—as symptoms of the same misunderstanding of the role of deaccessions in proper museum practice. He chronicles a series of deaccession events in Britain and the United States that range from the disastrous to the beneficial, and proposes a typology of principles to guide future deaccessions. Gammon describes the liquidation of the British Royal Collections after Charles I's execution—when masterworks were used as barter to pay the king's unpaid bills—as establishing a precedent for future deaccessions. He recounts, among other episodes, U.S. Civil War veterans who tried to reclaim their severed limbs from museum displays; the 1972 “Hoving affair,” when the Metropolitan Museum of Art sold a number of works to pay for a Velázquez portrait; and Brandeis University's decision (later reversed) to close its Rose Art Museum and sell its entire collection of contemporary art. An appendix provides the first extensive listing of notable deaccessions since the seventeenth century. Gammon ultimately argues that vibrant museums must evolve, embracing change, loss, and reinvention.
A unique and comprehensive overview of the key thinkers in international relations in the twentieth century. From Lenin and Kissinger, to emerging thinkers in feminism, historical sociology and the study of nationalism.
Behavior Change in the Human Services, Sixth Edition continues to provide a systematic introduction and overview of behavioral and cognitive principles and their applications to a wide range of problems and situations encountered in the human service professions. Designed for students and practitioners, the book uses a unique problem-solving framework to demonstrate how behavior change principles can be applied to practice situations. Martin and Sandra Sundel feature a detailed and sequential organization that encourages readers to move progressively through material of increasing complexity and to conduct self-assessments of their knowledge. The Fifth Edition includes eight clinical case studies and many new and engaging examples that address issues such as substance abuse, child behavior problems, assertiveness, marital discord, and developing appropriate social behaviors. The expanded chapter on intervention techniques incorporates empirically tested behavioral and cognitive strategies for addressing clinical problems such as phobias, anxiety disorders, depression, and other behavioral disorders. Current developments and trends in the field are discussed, including the movement toward evidence-based practice. This comprehensive yet accessible text also features figures, charts, and forms to demonstrate data collection and analysis. Any student pursuing a career in the helping professions, including social work, psychology, counseling, special education, nursing, and psychiatry, will find this book valuable
“The most comprehensive account of Israeli history yet published” (Efraim Karsh, The Sunday Telegraph). Fleeing persecution in Europe, thousands of Jewish immigrants settled in Palestine after World War II. Renowned historian Martin Gilbert crafts a riveting account of Israel’s turbulent history, from the birth of the Zionist movement under Theodor Herzl to the unexpected declaration of its statehood in 1948, and through the many wars, conflicts, treaties, negotiations, and events that have shaped its past six decades—including the Six Day War, the Intifada, Suez, and the Yom Kippur War. Drawing on a wealth of first-hand source materials, eyewitness accounts, and his own personal and intimate knowledge of the country, Gilbert weaves a complex narrative that’s both gripping and informative, and probes both the ideals and realities of modern statehood. “Martin Gilbert has left us in his debt, not only for a superlative history of Israel, but also for a restatement of the classic vision of Zion, in which a Middle East without guns is not a bedtime story but an imperative long overdue. This is the vision for which Yitzhak Rabin gave his life. This book is tribute to his memory.” —Jonathan Sacks, The Times (London)
This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpful graphs, it covers both the theoretical underpinnings of these methods as well as their application, giving you the skills needed to apply them to your own research. It offers guidance on: · Using logistic regression models for binary, ordinal, and multinomial outcomes · Applying count regression, including Poisson, negative binomial, and zero-inflated models · Choosing the most appropriate model to use for your research · The general principles of good statistical modelling in practice Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey
Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory. The book starts with a refresher of the Bayesian Inference concepts. The second chapter introduces modern methods for Exploratory Analysis of Bayesian Models. With an understanding of these two fundamentals the subsequent chapters talk through various models including linear regressions, splines, time series, Bayesian additive regression trees. The final chapters include Approximate Bayesian Computation, end to end case studies showing how to apply Bayesian modelling in different settings, and a chapter about the internals of probabilistic programming languages. Finally the last chapter serves as a reference for the rest of the book by getting closer into mathematical aspects or by extending the discussion of certain topics. This book is written by contributors of PyMC3, ArviZ, Bambi, and Tensorflow Probability among other libraries.
“Important and riveting . . . The solution isn’t to redistribute wealth from the have-mores to the have-lesses. It’s to redistribute political power to everyone.” —Robert B. Reich America faces daunting problems—stagnant wages, high health care costs, neglected schools, deteriorating public services. How did we get here? Through decades of dysfunctional government. In Democracy in America? veteran political observers Benjamin I. Page and Martin Gilens marshal an unprecedented array of evidence to show that while other countries have responded to a rapidly changing economy by helping people who’ve been left behind, the United States has failed to do so. Instead, we have actually exacerbated inequality, enriching corporations and the wealthy while leaving ordinary citizens to fend for themselves. What’s the solution? More democracy. More opportunities for citizens to shape what their government does. To repair our democracy, Page and Gilens argue, we must change the way we choose candidates and conduct our elections, reform our governing institutions, and curb the power of money in politics. By doing so, we can reduce polarization and gridlock, address pressing challenges, and enact policies that truly reflect the interests of average Americans. Updated with new information, this book lays out a set of proposals that would boost citizen participation, curb the power of money, and democratize the House and Senate. “Brilliant, indispensable, and highly accessible.” —New York Journal of Books
When Martin Brower moved his family from heavily Jewish Los Angeles to barely Jewish Orange County, California, in 1974, his Los Angeles friends were amazed at his bravery and his foolishness. Orange County was considered anti-Semitic and lacking in culture. However, during the years following World War II, Orange County was transformed from a small rural community with citrus groves, row crops and cattle -- first into a bedroom community for neighboring Los Angeles County and then into a dynamic urban empire. As the Countys population and employment base exploded, Orange Countys Jewish population grew from a small enclave of Jewish shopkeepers into a vibrant Jewish community in excess of 100,000. To the surprise of many, Orange County now boasts one of the leading centers of Jewish life in the nation, complete with 30 synagogues, a grand new Jewish Community Center, one of the nations largest Jewish day schools and one of its finest homes for the aging. In his book Orange County Jew: A Memoir, Brower superimposes the growth of the Jewish community over the amazing development of Orange County itself, and uses as a framework the personal story of his own 36 years as a resident of Orange County and as a player among its major real estate development companies and its entrepreneurial leaders.
A unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. This third edition expands the discussion of many of the techniques presented, and includes additional examples as well as exercise sets at the end of each chapter.
For several centuries Cape Town has accommodated a great variety of musical genres which have usually been associated with specific population groups living in and around the city. Musical styles and genres produced in Cape Town have therefore been assigned an "identity" which is first and foremost social. This volume tries to question the relationship established between musical styles and genres, and social - in this case pseudo-racial - identities. In Sounding the Cape, Denis-Constant Martin recomposes and examines through the theoretical prism of creolisation the history of music in Cape Town, deploying analytical tools borrowed from the most recent studies of identity configurations. He demonstrates that musical creation in the Mother City, and in South Africa, has always been nurtured by contacts, exchanges and innovations whatever the efforts made by racist powers to separate and divide people according to their origin. Musicians interviewed at the dawn of the 21st century confirm that mixture and blending characterise all Cape Town's musics. They also emphasise the importance of a rhythmic pattern particular to Cape Town, the ghoema beat, whose origins are obviously mixed. The study of music demonstrates that the history of Cape Town, and of South Africa as a whole, undeniably fostered creole societies. Yet, twenty years after the collapse of apartheid, these societies are still divided along lines that combine economic factors and "racial" categorisations. Martin concludes that, were music given a greater importance in educational and cultural policies, it could contribute to fighting these divisions and promote the notion of a nation that, in spite of the violence of racism and apartheid, has managed to invent a unique common culture.
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.
Krimi. The fearless investigative reporter Tatiana Petrovna falls to her death from a sixth-floor window in Moscow the same week that a mob billionaire, Grisha Grigorenko, is shot and buried with the trappings due a lord
Styles of filmmaking have changed greatly from classical Hollywood through to our digital era. So, too, have the ways in which film critics and scholars have analysed these transformations in film style. This book explores two central style concepts, mise en scène and dispositif, to illuminate a wide range of film and new media examples.
Beginning with volume 41 (1979), the University of Texas Press became the publisher of the Handbook of Latin American Studies, the most comprehensive annual bibliography in the field. Compiled by the Hispanic Division of the Library of Congress and annotated by a corps of more than 130 specialists in various disciplines, the Handbook alternates from year to year between social sciences and humanities. The Handbook annotates works on Mexico, Central America, the Caribbean and the Guianas, Spanish South America, and Brazil, as well as materials covering Latin America as a whole. Most of the subsections are preceded by introductory essays that serve as biannual evaluations of the literature and research under way in specialized areas. The Handbook of Latin American Studies is the oldest continuing reference work in the field. Dolores Moyano Martin, of the Library of Congress Hispanic Division, has been the editor since 1977, and P. Sue Mundell was assistant editor from 1994 to 1998. The subject categories for Volume 56 are as follows: ∑ Electronic Resources for the Humanities ∑ Art ∑ History (including ethnohistory) ∑ Literature (including translations from the Spanish and Portuguese) ∑ Philosophy: Latin American Thought ∑ Music
A comprehensive introduction to educational psychology, this volume is inclusive of all of the essentials—covering history, profiles, theories, applications, research, case studies, current events, issues, controversies, and more. Focused on human learning and teaching, the field of educational psychology informs a range of educational challenges, including instructional design, curriculum development, organizational learning, special education, student motivation, and classroom management. In this book, two veteran professors in the fields of education and psychology, offer a clear and concise yet comprehensive overview of this growing specialty. This volume will be valuable not only to university students aiming to understand psychology's subfields and to choose a major or a specialty, but also to classroom teachers, school administrators, and school social workers aiming to make teaching more effective and learning more thorough and lasting. Topics include the field's history, primary figures theories, research, theories, applications, issues, and controversies. Authors Martin and Torok-Gerard also explain current issues of social justice and educational equity, citing means that have been used to meet those goals in schools. The text additionally analyzes special education as a civil rights issue as well as equity and fairness for LGBTQ+ students in the context of social justice. The text ends with emerging research and predictions for the future of educational psychology.
Unleash the power and flexibility of the Bayesian framework About This Book Simplify the Bayes process for solving complex statistical problems using Python; Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises; Learn how and when to use Bayesian analysis in your applications with this guide. Who This Book Is For Students, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is essential. No previous statistical knowledge is assumed. What You Will Learn Understand the essentials Bayesian concepts from a practical point of view Learn how to build probabilistic models using the Python library PyMC3 Acquire the skills to sanity-check your models and modify them if necessary Add structure to your models and get the advantages of hierarchical models Find out how different models can be used to answer different data analysis questions When in doubt, learn to choose between alternative models. Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression. Learn how to think probabilistically and unleash the power and flexibility of the Bayesian framework In Detail The purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems. Style and approach Bayes algorithms are widely used in statistics, machine learning, artificial intelligence, and data mining. This will be a practical guide allowing the readers to use Bayesian methods for statistical modelling and analysis using Python.
This Brief presents the first major release of findings from the Third International Self-Report Delinquency Study (ISRD3). ISRD is a major international research collaboration that now covers some 35 countries. It surveys young people aged 12 to 16 in their schools, asking about their experience of crime – both as offenders and as victims – and about their attitudes to crime and justice and about their home and school life. ISRD1 was carried out in 1991-1992 and ISRD2 in 2006-2008. ISRD findings presented here cover the 27 ISRD3 countries for which data are already available, with a total sample approaching 63,000 young people. For most of these countries, the samples are drawn from two major cities. This volume provides key findings on self-reported offending and on victimization.Chapter 1 set the scene, and describes the background to ISRD3. Chapter 2describes the methods used in the survey; respondents complete the ISRD questionnaire either in paper format or – increasingly – using a standardized internet program. Chapter 3 covers key findings on self-reported offending, including the important finding that preparedness to disclose offending varies according to cultural context. Chapter 4 presents findings on victimization, including important new findings on hate crime and the use of parental violence, as well as coverage of more conventional forms of crime. A final chapter summarizes the results and draws out their implications. This Brief will be of interest to researchers in criminology and criminal justice,as well as related fields such as sociology, public policy, and psychology. Due tothe groundbreaking methodological analyses provided, this Brief is essential reading to all who conduct or use internationally comparative and global survey research.
Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the quantitative methodologies. It discusses issues such as: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; and point pattern analysis.
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