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Across the country, in courts, classrooms, and the media, Americans are deeply divided over the use of race in admitting students to universities. Yet until now the debate over race and admissions has consisted mainly of clashing opinions, uninformed by hard evidence. This work, written by two of the country's most respected academic leaders, intends to change that.
It brings a wealth of empirical evidence to bear on how race-sensitive admissions policies actually work and what effects they have on students of different races.
William G. Bowen, argue that we can pass an informed judgment on the wisdom of race-sensitive admissions only if we understand in detail the college careers and the subsequent lives of students - or, to use a metaphor they take from Mark Twain, if we learn the shape of the entire river.
The heart of the book is thus an unprecedented study of the academic, employment, and personal histories of more than 45,000 students of all races who attended academically selective universities between the 1970s and the early 1990s.
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Previews available in: English
Subjects
Case studies, African American college graduates, Education (Higher), African Americans, Admission, Affirmative action programs in education, Universities and colleges, Universities, Positieve actie, Longitudinaal onderzoek, UNIVERSIDADE, School Admission Criteria, Hoger onderwijs, ENSINO SUPERIOR, Toelating, Social Justice, AFRO-DESCENDENTES, Education, Negers, Affirmative action programs, Universities and colleges, admission, Universities and colleges, united states, African americans, educationPlaces
United States, ESTADOS UNIDOSShowing 1 featured edition. View all 1 editions?
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The shape of the river: long-term consequences of considering race in college and university admissions
1998, Princeton University Press
in English
0691002746 9780691002743
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Includes bibliographical references (p. [451]-459) and index.
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- Created April 1, 2008
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July 15, 2024 | Edited by MARC Bot | import existing book |
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April 1, 2008 | Created by an anonymous user | Imported from Scriblio MARC record |