One week in October: Luis Suárez,John Terry and the turn to racial neoliberalism in English men’s professional football

This article explores two significant incidents of racism – involving Luis Suárez and John Terry – from the 2011–2012 English Premier League football season. In particular, it analyses and contextualises the reactions and responses articulated by key stakeholders within the football industry. Discursive themes were employed by these individuals as a means of trying to mitigate and/or exonerate the actions of Suárez and Terry, to question the veracity of the allegations made against them, and to downplay the extent and effects of racism in English football more generally. The article situates these standpoints within the wider cultural politics of race in the game and extricates the connections between discourse and structure in manifestations of racism. It demonstrates that these dominant responses are indicative of colour-blind ideology, white racial framing and the rules of racial standing. It also argues that these sporting trends are part of a wider societal shift towards racial neoliberalism.     

Residential Instability,Family Support,and Parent–Child Relationships Among Ethnically Diverse Urban Families

From a social disorganization standpoint, neighborhood residential instability potentially brings negative consequences to parent–child relationship qualities, but family social support and racial/ethnic identity may modify this association. Using data (n = 3,116) from the Project on Human Development in Chicago Neighborhoods, this study examines associations between neighborhood residential instability and parent–child warmth and conflict, whether family social support moderates associations between residential instability and parent–child relationships, and variation by race/ethnicity. Multilevel models reveal that residential instability undermines parent–child relationship qualities, particularly for non‐White individuals. Family support is a protective factor for families in less stable neighborhoods and specifically buffers the association between neighborhood residential instability and reduced parent–child warmth. Among Hispanics, family support mitigates the association between residential instability and heightened parent–child conflict. Findings highlight residential instability as a detriment to parent–child relationships; families in unstable neighborhoods may benefit from family social support.     

Ethnic–Racial Socialization in the Family: A Decade's Advance on Precursors and Outcomes

In the current decade, the U.S. population reached historically high levels of ethnic–racial diversity and reelected the nation's first Black–White biracial President. Simultaneously, scholars also documented significant ethnic–racial inequities in education, increased xenophobia, and a racial climate that revealed deep-seated ethnic–racial tensions. Given this backdrop and acknowledging the significant role that families play in youths' abilities to navigate their social contexts, the current review focused on the literature on families' ethnic–racial socialization efforts with youth from the 2010 decade. Our review of 259 empirical articles revealed that there has been an exponential increase in research on family ethnic–racial socialization in this decade. Furthermore, although it is clear that family ethnic–racial socialization is a robust predictor of youths' adjustment, the associations between socialization and adjustment must be considered with attention to specific socialization strategies, the confluence of strategies used, and the unique contexts within which families' lives are embedded.     

Giving (Money) Back To Parents: Racial/Ethnic and Immigrant–Native Variation in Monetary Exchanges During the Transition to Adulthood

Scholars consistently find that parents provide economic support to their young adult children through the transition to adulthood. However, scholars rarely examine whether young adults contribute monetary resources to their parents. To test this proposition, I use the National Longitudinal Study of Adolescent to Adult Health, and the case of “money for living expenses.” Overall, monetary independence is the modal category for all groups. However, when I compare across groups, I find that White young adults with native-born parentage are more likely to report monetary independence, African Americans are more likely to report monetary interdependence and Asian and Latino children of immigrants are more likely to report child-to-parent assistance compared to each other, with SES explaining most, but not all, of these differences. I argue that young adult offspring in non-White families are more likely to provide monetary support to their parents during the transition to adulthood. These transfers may deplete resources for non-White young adults and may exacerbate racial/ethnic inequality during the transition to adulthood.     

Intersections on the Class Escalator: Gender,Race, and Occupational Segregation in Paid Care Work

As U.S. manufacturing and production industries have declined, the growth of the care sector has increasingly become an important source of jobs for workers without a college degree. Often requiring some form of postsecondary credentialing, many care occupations can provide better wages, job stability, and possible upward mobility for less educated workers. However, employment patterns in paid care work are both gendered and racialized: women and workers of color are overrepresented in care occupations with fewer entry barriers, benefits, and lower pay. Although these patterns are well documented, the mechanisms producing them are less well understood. Using event history analysis and the National Longitudinal Survey of Youth (NLSY79), this study evaluates the explanatory power of neoclassical economic, status attainment, and social closure theories of occupational segregation for black women’s and men’s greater hazard or “risk” of entering care occupations, relative to white workers. Net of individual and closure mechanisms, significant residual effects suggest labor market discrimination remains a primary explanation for the over-representation of black workers in less credentialed care jobs with fewer benefits.     

Evolution of product quality in European,Japanese and US automotive firms: An exploratory longitudinal analysis

For years we have been hearing that US automobile manufacturers have been losing market share to their Japanese rivals who are reputed to make better quality vehicles. Most such reports are based on the initial quality surveys on new automobiles. In this paper we address two exploratory questions: (1) how does the quality of an automobile change with its age, and, (2) can firm level variables help explain differences quality. To answer these questions, we collected Consumer Reports’ reliability ratings on approximately 300 automobile models made by European, Japanese and US automotive firms during the 1998–2007; and approximately 240 models made by these firms over period of 2008–2015. For both periods we found that not only do automobiles made by Japanese firms have higher initial quality, but, as automobiles get older the difference in the product quality between Japanese versus European and US firms increases. We also found that the more generalist a European or US automobile firm, i.e., the wider is the firm׳s product offering in the marketplace, the lower its overall automobile quality during the 1998–2007 period. Conversely, Japanese generalist firms were found to have higher quality than specialist firms over the same period. The result is partly explained by the fact that Japanese firms have taken a different path to broadening their product variety – they have ensured a high level of quality of their initial offerings before entering newer market segments. The rate of reliability decline was found to be slower for all firms, and the differences in reliability across the 3 groups of firms were much less pronounced during the 2008–2015 period. This improvement may be as result of restructuring done by US automobile firms.     

Higher Education's Role in the Dialogue on Race

The university is a logical locus for discussionof the role race has played in our society. Perhaps noAmerican institution is more committed to free andopen dialogue than the university. Higher educationcan thus provide a context for the recognition ofissues as well as a forum for the resolution ofinitiatives. To date, however, university attempts atdiversity training have often imbued recipients withself-consciousness, usurping the unity implicit in theword `university' and evoking an even greater tendencytoward separatism. The university's traditional questfor truth has been subverted by a subtle and pervasivesense that some views are more correct than others,that openness is dangerous, and that some issues mighteven be taboo. At best, such an approach to diversityleads to a fragile stalemate among self-containedenclaves. By championing President Clinton's call fora dialogue on race, the university can restore itselfas an institution that puts honesty above all else.Not only is there a resonant rationale for theuniversity's central responsibility in this debate,but there is also a pedagogical means by which itsrole can be realized. This paper proposes a model forethnic dialogue relevant to either a text-based orissues-based class. Borrowing from pedagogy developedin professional schools, we believe that the tenets ofthe `case method' can create a climate conducive tothe substantive scrutiny of race, ethnicity, andprejudice in general. We argue that this dialogueshould not be a mere add-on to college life, butintegrated into existing curricula in the socialsciences, literature, and history. Heated debate canthen occur without anger, and race/ethnicity can bediscussed without fear of recrimination.Paradoxically, the very expression of ethnicity may bethe catalyst that eventually moves multiculturalismtoward interculturalism – where differences are nolonger articulated, measurable or even discernible.     

Understanding platform business models: A mixed methods study of marketplaces

Recent technological advances have enabled the emergence of novel business models based on digital platforms. Marketplace like Airbnb or Uber offer such digital platforms to connect previously unmatched demand-side and supply-side participants through innovative forms of value creation, delivery and capture. While countless firms claim to offer the next ‘Airbnb for X’ or ‘Uber for Y’, we lack knowledge about the defining business model characteristics of these marketplaces. To close the gap, this paper provides a conceptually and empirically grounded taxonomy of their business models. Applying a mixed methods approach, it first develops an integrative framework of marketplace business models. Guided by the framework, the research systematically analyzes 100 randomly selected marketplaces with content analysis and binary coding. The gathered data is analyzed with cluster analysis techniques to develop a taxonomy for marketplace business models. The clustering process reveals six clearly distinguishable types of marketplace business models and thus shows that there is no one-size-fits-all approach to creating, delivering, and capturing value with marketplaces and platforms in general. We characterize these distinctive types on basis of the qualitative and quantitative findings. Among others, we find that two of these types are highly aligned with business model characteristics associated with the so-called sharing economy. The findings are discussed against platform, marketplace, and sharing economy literature to contribute to a higher integration of different literature streams that are concerned with similar organizational types and phenomena.     

Assessing the performance of variational methods for mixed logistic regression models

We present a variational estimation method for the mixed logistic regression model. The method is based on a lower bound approximation of the logistic function [Jaakkola, J.S. and Jordan, M.I., 2000, Bayesian parameter estimation via variational methods. Statistics & Computing, 10, 25–37.]. Based on the approximation, an EM algorithm can be derived that results in a considerable simplification of the maximization problem in that it does not require the numerical evaluation of integrals over the random effects. We assess the performance of the variational method for the mixed logistic regression model in a simulation study and an empirical data example, and compare it to Laplace's method. The results indicate that the variational method is a viable choice for estimating the fixed effects of the mixed logistic regression model under the condition that the number of outcomes within each cluster is sufficiently high.