This uniquely comprehensive study analyzes genetic and cultural variation in a human population of extraordinary diversity. The author measures the relationship between patterns of biological and patterns of cultural variation as a way to test the contribution made by natural selection to genetic variability. If linguistic similarity and migration history serve to predict biological patterns, support is provided for the hypothesis that forces other than natural selection are responsible for the diversity observed.
The data for this study come from a group of eighteen villages located in eight neighboring language areas that are clustered in a small region of Bougainville Island, Papua New Guinea. Biological and anthropological data are analyzed with a battery of sophisticated statistical and taxonomic methods: multiple discriminant analyses, principal coordinates analyses, principal components analyses, and Gower's R2 comparison. Diverse biological properties of the Bougainville Islanders prove to be closely related to their patterns of migration. Although this result in no way refutes the role of natural selection in the evolutionary process, it highlights the extent to which genetic diversity can be molded, at least in human populations, by nonselective events.
The first systematic attempt to account for all the names of the counties, cities, town, water courses, bodies of water, and mountains that appear on readily available maps of Alabama
“An invaluable resource for television news and talk shows…not to mention a treasure for trivia buffs!” —Tom York, WBRC-6
From tax and household registers, law codes, and other primary sources, as well as recent Japanese sources, William Wayne Farris has developed the first systematic, scientific analysis of early Japanese population, including the role of disease in economic development. This work provides a comprehensive study of land clearance, agricultural technology, and rural settlement. The function and nature of ritsuryō institutions are reinterpreted within the revised demographic and economic setting.
Farris’s text is illustrated with maps, population pyramids for five localities, and photographs and translations of portions of tax and household registers, which throw further light on the demography and economy of Japan in the seventh, eighth, and ninth centuries.
The expression “the New South” was introduced by Henry Grady, editor of the Atlanta Constitution, to a New York audience in 1886; every generation of writers since has used the term. The southern population, unique in its socioeconomic and cultural characteristics, has always been a topic of major interest with U.S. demographers.
The articles in this book, the majority of which were originally presented at the Southern Regional Demographic Group meeting in 1976, deal with fertility, mortality, migration, and the factors that influence these components. A number of the contributors trace patterns of demographic change in the South showing convergence with the rest of the United States. Questions are raised about whether the convergence represents a permanent trend—possibly due to increased communication—or whether further divergence may be expected in the future.
The contributors include Dudley L. Poston, Jr., William J. Serow, Robert H. Weller, Ronald R. Rindfuss, Harry M. Rosenberg, Drusilla Burnham, David F. Sly, Omer R. Galle, Robert N. Stern, Joachim Singelmann, Susan E. Clarke, and George C. Myers.
From two leading experts, a revolutionary new way to think about and measure aging.
Aging is a complex phenomenon. We usually think of chronological age as a benchmark, but it is actually a backward way of defining lifespan. It tells us how long we’ve lived so far, but what about the rest of our lives?
In this pathbreaking book, Warren C. Sanderson and Sergei Scherbov provide a new way to measure individual and population aging. Instead of counting how many years we’ve lived, we should think about the number of years we have left, our “prospective age.” Two people who share the same chronological age probably have different prospective ages, because one will outlive the other. Combining their forward-thinking measure of our remaining years with other health metrics, Sanderson and Scherbov show how we can generate better demographic estimates, which inform better policies. Measuring prospective age helps make sense of observed patterns of survival, reorients understanding of health in old age, and clarifies the burden of old-age dependency. The metric also brings valuable data to debates over equitable intergenerational pensions.
Sanderson and Scherbov’s pioneering model has already been adopted by the United Nations. Prospective Longevity offers us all an opportunity to rethink aging, so that we can make the right choices for our societal and economic health.
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