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  1. Study Finds Foreclosures Fueled Racial Segregation in U.S.

    Some 9 million American families lost their homes to foreclosure during the late 2000s housing bust, driving many to economic ruin and in search of new residences. Hardest hit were black, Latino, and racially integrated neighborhoods, according to a new Cornell University analysis of the crisis.

    Led by demographer Matthew Hall, researchers estimate racial segregation grew between Latinos and whites by nearly 50 percent and between blacks and whites by about 20 percent as whites abandoned and minorities moved into areas most heavily distressed by foreclosures.

  2. Veterans Live in More Diverse Neighborhoods Than Their Civilian Counterparts of Same Race

    When members of the U.S. military leave the service, they tend to settle in neighborhoods with greater overall diversity than their civilian counterparts of the same race, according to a new study that will be presented at the 110th Annual Meeting of the American Sociological Association (ASA).

  3. Cultivating S-P-E-L-L-E-R-S

    Indian-American spellers are known for dominance on the national stage and even host regional, culturally specific bees. How did the niche emerge?

  4. Pride and Prejudice and Professionalism

    LGBT educators struggle to balance professionalism and pride in the classroom, splittling, knitting, or quittting, in the words of the authors.

  5. Social Justice & the Next Upward Surge for Unions

    Labor unions have been on the decline for sixty years in the U.S., though they raise wages, decrease inequality, and give voice to workers. Can they rise again?

  6. The Role of Gender, Class, and Religion in Biracial Americans Racial Labeling Decisions

    Racial attachments are understood to be socially constructed and endogenous to gender, socioeconomic, and religious identities. Yet we know surprisingly little about the effect of such identities on the particular racial labels that individuals self-select. In this article, I investigate how social identities shape the racial labels chosen by biracial individuals in the United States, a rapidly growing population who have multiple labeling options.

  7. The Power of Transparency: Evidence from a British Workplace Survey

    Does the dissemination of organizational financial information shift power dynamics within workplaces, as evidenced by increasing workers’ wages? That is the core question of this investigation. We utilize the 2004 and 2011 series of the British Workplace Employment Relations Survey (WERS) to test whether employees who report that their managers disclose workplace financial data earn more than otherwise similar workers not privy to such information.

  8. Civic Stratification and the Exclusion of Undocumented Immigrants from Cross-border Health Care

    This paper proposes a theoretical framework and an empirical example of the relationship between the civic stratification of immigrants in the United States, and their access to healthcare. We use the 2007 Pew Hispanic Center/Robert Wood Johnson Foundation Hispanic Healthcare Survey, a nationally representative survey of U.S. Latinos (N = 2,783 foreign-born respondents) and find that immigrants who are not citizens or legal permanent residents are significantly more likely to be excluded from care in both the United States and across borders.

  9. Flourishing: American Indian Positive Mental Health

    Positive mental health (PMH) is an important construct for understanding the full continuum of mental health. Some socially disadvantaged populations experience a paradoxically high level of PMH despite negative social experiences including discrimination. The purpose of this study is to examine the prevalence and culturally salient correlates of PMH among a cross-sectional sample of 218 American Indian adults living with type 2 diabetes mellitus.

  10. An Introduction to the General Monotone Model with Application to Two Problematic Data Sets

    We argue that the mismatch between data and analytical methods, along with common practices for dealing with "messy" data, can lead to inaccurate conclusions. Specifically, using previously published data on racial bias and culture of honor, we show that manifest effects, and therefore theoretical conclusions, are highly dependent on how researchers decide to handle extreme scores and nonlinearities when data are analyzed with traditional approaches.