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A landmark work which precipitated major reforms in medical education. It recommended closing commercial schools and reducing the overall number of medical schools from 155 to 31, with the aim of raising standards. Includes frank evaluative sketches of each school based on site visits by the author.
Phinizy Spalding traces the development of Georgia's oldest medical school from the initial plans of a small group of physicians to the five school complex found in Augusta in the late 1980s. Charting a course filled with great achievement and near-fatal adversity, Spalding shows how the life of the college has been intimately bound to the local community, state politics, and the national medical establishment. When the Medical Academy of Georgia opened its doors in 1828 to a class of seven students, the total number of degreed physicians in the state was fewer than one hundred. Spalding traces the history of the Academy through its early robust growth in the antebellum years; its slowed progress during the Civil War; its decline and hardships during the early half of the twentieth century; and finally its resurgence and a new era of optimism starting in the 1950s.
Begun as a pork-barrel project by the federal government in the early 1900s, the Canton Asylum for Insane Indians (also known as the Hiawatha Insane Asylum) quickly became a dumping ground for inconvenient Indians. The federal institution in Canton, South Dakota, deprived many Native patients of their freedom without genuine cause, often requiring only the signature of a reservation agent. Only nine Native patients in the asylum’s history were committed by court order. Without interpreters, mental evaluations, or therapeutic programs, few patients recovered. But who cared about Indians in South Dakota? After three decades of complacency, both the superintendent and the city of Canton were surprised to discover that someone did care, and that a bitter fight to shut the asylum down was about to begin. In this disturbing tale, Carla Joinson unravels the question of why this institution persisted for so many years. She also investigates the people who allowed Canton Asylum’s mismanagement to reach such staggering proportions and asks why its administrators and staff were so indifferent to the misery experienced by their patients. Vanished in Hiawatha is the harrowing tale of the mistreatment of Native American patients at a notorious asylum whose history helps us to understand the broader mistreatment of Native peoples under forced federal assimilation in the nineteenth and early twentieth centuries.
This four-volume encyclopedia contains compelling and comprehensive information on African American popular culture that will be valuable to high school students and undergraduates, college instructors, researchers, and general readers. From the Apollo Theater to the Harlem Renaissance, from barber shop and beauty shop culture to African American holidays, family reunions, and festivals, and from the days of black baseball to the era of a black president, the culture of African Americans is truly unique and diverse. This diversity is the result of intricate customs forged in tightly woven communities—not only in the United States, but in many cases also stemming from the traditions of another continent. Encyclopedia of African American Popular Culture presents information in a traditional A–Z organization, capturing the essence of the customs of African Americans and presenting this rich cultural heritage through the lens of popular culture. Each entry includes historical and current information to provide a meaningful background for the topic and the perspective to appreciate its significance in a modern context. This encyclopedia is a valuable research tool that provides easy access to a wealth of information on the African American experience.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala