front cover of Inventing the Immigration Problem
Inventing the Immigration Problem
The Dillingham Commission and Its Legacy
Katherine Benton-Cohen
Harvard University Press, 2018

In 1907 the U.S. Congress created a joint commission to investigate what many Americans saw as a national crisis: an unprecedented number of immigrants flowing into the United States. Experts—women and men trained in the new field of social science—fanned out across the country to collect data on these fresh arrivals. The trove of information they amassed shaped how Americans thought about immigrants, themselves, and the nation’s place in the world. Katherine Benton-Cohen argues that the Dillingham Commission’s legacy continues to inform the ways that U.S. policy addresses questions raised by immigration, over a century later.

Within a decade of its launch, almost all of the commission’s recommendations—including a literacy test, a quota system based on national origin, the continuation of Asian exclusion, and greater federal oversight of immigration policy—were implemented into law. Inventing the Immigration Problem describes the labyrinthine bureaucracy, broad administrative authority, and quantitative record-keeping that followed in the wake of these regulations. Their implementation marks a final turn away from an immigration policy motivated by executive-branch concerns over foreign policy and toward one dictated by domestic labor politics.

The Dillingham Commission—which remains the largest immigration study ever conducted in the United States—reflects its particular moment in time when mass immigration, the birth of modern social science, and an aggressive foreign policy fostered a newly robust and optimistic notion of federal power. Its quintessentially Progressive formulation of America’s immigration problem, and its recommendations, endure today in almost every component of immigration policy, control, and enforcement.

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front cover of Prismatic Metropolis
Prismatic Metropolis
Inequality in Los Angeles
Lawrence D. Bobo
Russell Sage Foundation, 2000
This book cuts through the powerful mythology surrounding Los Angeles to reveal the causes of inequality in a city that has weathered rapid population change, economic restructuring, and fractious ethnic relations. The sources of disadvantage and the means of getting ahead differ greatly among the city's myriad ethnic groups. The demand for unskilled labor is stronger here than in other cities, allowing Los Angeles's large population of immigrant workers with little education to find work in light manufacturing and low-paid service jobs. A less beneficial result of this trend is the increased marginalization of the city's low-skilled black workers, who do not enjoy the extended ethnic networks of many of the new immigrant groups and who must contend with persistent negative racial stereotypes. Patterns of residential segregation are also more diffuse in Los Angeles, with many once-black neighborhoods now split evenly between blacks, Hispanics, Asians, and other minorities. Inequality in Los Angeles cannot be reduced to a simple black-white divide. Nonetheless, in this thoroughly multicultural city, race remains a crucial factor shaping economic fortunes. A Volume in the Multi-City Study of Urban Inequality
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front cover of Surveying Ethnic Minorities and Immigrant Populations
Surveying Ethnic Minorities and Immigrant Populations
Methodological Challenges and Research Strategies
Edited by Joan Font and Mónica Méndez
Amsterdam University Press, 2013
What challenges do researchers face when surveying immigrant populations and ethnic minorities? What are the best ways to ensure that general population surveys adequately represent minority groups?  The first book to systematically address these questions, this volume analyzes more than a dozen surveys conducted in eight Western countries on topics ranging from politics to health. These case studies—which include local and national surveys with various levels of funding—offer valuable lessons about dealing with a range of methodological challenges.
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