German Culture, Politics, and Literature Into the Twenty-first Century


Book Description

This volume features sixteen thought-provoking essays by renowned international experts on German society, culture, and politics that, together, provide a comprehensive study of Germany's postunification process of "normalization." Essays ranging across a variety of disciplines including politics, foreign policy, economics, literature, architecture, and film examine how since 1990 the often contested concept of normalization has become crucial to Germany's self-understanding. Despite the apparent emergence of a "new" Germany, the essays demonstrate that normalization is still in question, and that perennial concerns -- notably the Nazi past and the legacy of the GDR -- remain central to political and cultural discourses and affect the country's efforts to deal with the new challenges of globalization and the instability and polarization it brings. This is the first major study in English or German of the impact of the normalization debate across the range of cultural, political, economic, intellectual, and historical discourses. Contributors: Stephen Brockmann, Jeremy Leaman, Sebastian Harnisch and Kerry Longhurst, Lothar Probst, Simon Ward, Anna Saunders, Annette Seidel Arpaci, Chris Homewood, Andrew Plowman, Helmut Schmitz, Karoline Von Oppen, William Collins, Donahue, Katharine Schödel, Stuart Taberner, Paul Cooke Stuart Taberner is Professor of Contemporary German Literature, Culture, and Society and Paul Cooke is Senior Lecturer in German Studies, both at the University of Leeds.




Self-Normalized Processes


Book Description

Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linear nature of these processes, the theory experienced a long period of slow development. In recent years there have been a number of important advances in the theory and applications of self-normalized processes. Some of these developments are closely linked to the study of central limit theorems, which imply that self-normalized processes are approximate pivots for statistical inference. The present volume covers recent developments in the area, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales. This is the first book that systematically treats the theory and applications of self-normalization.




Normalization and "outsiderhood"


Book Description

This volume presents an illuminating analysis of the ways in which normalization processes and practices operate in a welfare state in an age of neoliberalism. This informative book problematizes the meaning of the phrase 'normalization processes and prac




Finding Normal


Book Description

Alexa Tsoulis-Reay's Finding Normal is an author's up close tour of people who are using the Internet to challenge the boundaries of what's taboo and what it means to be normal. Finding Normal explores how people are using the internet to find community, forge connections, and create identity in ways that challenge a variety of sexual norms. Based on a highly candid interview series conducted for New York magazine's human science column—"What It's Like"—each story in Finding Normal intimately immerses the reader in the world of a person who is grappling with a unique set of circumstances relating to sexuality. Finding Normal at once celebrates the power of our evolving media landscape for helping people rewrite the script for their lives and offers a wanring about the danger of that seemingly limitless freedom. Tsoulis-Reay shows the enduring power of the search for belonging—for humans and society. Like happiness of life purpose, finding normal is perhaps the definitive human struggle.




Normalization of U.S.-China Relations


Book Description

Relations between China and the United States have been of central importance to both countries over the past half century. Offers the first multinational, multi archival review of the history of Chinese-American conflict and cooperation in the 1970s.




A Quarter-century of Normalization and Social Role Valorization


Book Description

During the late 1960s, Normalization and Social Role Valorization (SRV) enabled the widespread emergence of community residential options and then provided the philosophical climate within which educational integration, supported employment, and community participation were able to take firm root. This book is unique in tracing the evolution and impact of Normalization and SRV over the last quarter-century, with many of the chapter authors personally involved in a still-evolving international movement. Published in English.




Normalisation


Book Description

Normalisation, the theoretical framework that underpins the movement of services for people with disabilities from long stay hospitals, has recently become the focus of much academic and professional attention. As the community care debate has moved into the public arena, it has attracted a certain amount of criticism, acknowledging the political and philosophical conflicts that surround it. Normalisation: A Reader for the Nineties provides a much needed, informed appraisal of this controversial practice and combines various perspectives on the subject, including applied behavioural analysis, social policy and psychodynamic approaches. Thus it explores the discrepancies between the ideal and the reality and extends the debate by drawing comparisons, with other political and social ideologies.




Hands-On Machine Learning on Google Cloud Platform


Book Description

Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Book Description Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems. What you will learn Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile Create, train and optimize deep learning models for various data science problems on big data Learn how to leverage BigQuery to explore big datasets Use Google’s pre-trained TensorFlow models for NLP, image, video and much more Create models and architectures for Time series, Reinforcement Learning, and generative models Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applications Who this book is for This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy




The Trouble with Normal


Book Description

In the years after the Second World War, economic and social factors combined to produce an intense concern over the sexual development and behaviour of young people. In a context where heterosexuality and 'normality' were understood to be synonymous and assumed to be necessary for social and national stability, teenagers were the target of a range of materials and practices meant to turn young people into proper heterosexuals. In this study, Mary Louise Adams explores discourses about youth and their place in the production and reproduction of heterosexual norms. She examines debates over juvenile delinquency, indecent literature, and sex education to show not why heterosexuality became a peculiar obsession in English Canada following the Second World War as much as how it came to hold such sway. Drawing on feminist theory, cultural studies, and lesbian/gay studies, The Trouble with Normal is the first Canadian study of 'youth' as a sexual and moral category. Adams looks not only at sexual material aimed at teenagers but also at sexual discourses generally, for what they had to say about young people and for the ways in which 'youth,' as a concept, made those discourses work. She argues that postwar insecurities about young people narrowed the sexual possibilities of both young people and adults. While much of the recent history of sexuality examines sexuality 'from the margins,' The Trouble with Normal is firmly committed to examining the 'centre,' to unpacking normality itself. As the first book-length study of the history of sexuality in postwar Canada, it will make an important contribution to the growing international literature on sexual regulation.




The Limits of Gendered Citizenship


Book Description

The underlying theme of this edited collection is gendered citizenship, as well as the challenges and limits that confront the gendering of citizenship. It critiques the notion of the genderless nation-state citizen — in both analytical and policy terms and contexts — and necessarily engages with at least three major sets of contradictions or tensions: limitations on achieving gender equal or gender equitable citizenship; relations and differences between gender equality policy, diversity policy, and gender mainstreaming; and interplays of academic analyses of and practical interventions on gendered citizenship. Contributors from diverse scientific disciplines and academic backgrounds aim to provide a better understanding of the challenges that societies within Europe and elsewhere face vis-à-vis diversity, regionalism, transnationalism, and migration.