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Near the end of his life, the eminent literary critic Edmund Wilson was editing his notebooks from the Twenties for publication. At one point he added a long passage on Elinor Wylie, a close friend and successful writer whose work he admired:

Some reference books are not only useful but a pleasure to read. For anyone interested in literature, the outstanding example is the Wilson Authors Series, which, for over fifty years, has provided excellent summaries of the lives and works of critically acclaimed or popular writers known to English‐speaking readers. Through their coverage of minor writers and inclusion of the autobiographical statements of many twentieth‐century writers, these volumes have constituted a valuable record of the literary scene. Despite the proliferation of literary reference works in recent years, some covering more authors, others providing lengthier articles, the Wilson series has remained a cornerstone of the reference collections of libraries of all sizes and a model of concise biographical writing.

The 2020 election season brought with it a global public health pandemic and a reenergized racial justice movement. Given the social context of the intertwined pandemics of COVID-19 and racialized violence, do the traditional predictors of voter turnout – race, poverty rates and unemployment rates – remain significant?

Using county-level, publicly available data from twelve Midwest states with similar demographic and cultural characteristics, voter turnout in St. Louis City and St. Louis County were predicted using race, poverty rates and unemployment rates.

Findings demonstrate that despite high concentration of poverty rates and above average percentages of Black residents, voter turnout was significantly higher than predicted. Additionally, findings contradict previous studies that found higher unemployment rates resulted in higher voter participation rates.

This study suggests that the threat of COVID-19 and fear of an increase in police violence may have introduced physical risk as a new theoretical component to rational choice theory for the general election in 2020.

Discusses the long existing and confusing problems of establishing the relationship of who is, and who if not, a dependent worker. Reflects developments which have occurred in British law as it affects the employment field, plus an evaluation and analysis of some of the different types of employment relationships which have evolved by examining, where possible, the status of each of these relationships. Concludes that the typical worker nowadays finds himself in a vulnerable position both economically and psychologically owing to the insecurity which exists.

President Bill Clinton has had many opponents and enemies, most of whom come from the political right wing. Clinton supporters contend that these opponents, throughout the Clinton presidency, systematically have sought to undermine this president with the goal of bringing down his presidency and running him out of office; and that they have sought non‐electoral means to remove him from office, including Travelgate, the death of Deputy White House Counsel Vincent Foster, the Filegate controversy, and the Monica Lewinsky matter. This bibliography identifies these and other means by presenting citations about these individuals and organizations that have opposed Clinton. The bibliography is divided into five sections: General; “The conspiracy stream of conspiracy commerce”, a White House‐produced “report” presenting its view of a right‐wing conspiracy against the Clinton presidency; Funding; Conservative organizations; and Publishing/media. Many of the annotations note the links among these key players.

All gender identity is socialized, but anything gendered feminine is marginalized. In the United States, we live in a patriarchal culture that is bounded by binary gender identity. Up to this point, work on gender and education leadership has remained within the bounds of patriarchy, and thus been confined to binary, hierarchical gender definitions. This study pushes past prior work to advance a more complex and messy understanding of how identity impacts aspiring leaders in their careers. Using Carol Gilligan and Snider (2018) Listening Guide Method, this study of 18 aspiring school leaders of different gender identities, sexual identities, and races focuses on how gender identity and gender performance impact school leaders' career trajectories. A key finding of this study is that women, regardless of race or sexual identity, have difficulty finding mentors while men, regardless of race or sexual identity, are tapped by schools leaders and offered mentoring opportunities. This chapter posits a new framework for mentoring that will lead to more liberatory pipeline structures.

In this paper, I demonstrate an alternative explanation to the development of the American electricity industry. I propose a social embeddedness approach (Granovetter, 1985, 1992) to interpret why the American electricity industry appears the way it does today, and start by addressing the following questions: Why is the generating dynamo located in well‐connected central stations rather than in isolated stations? Why does not every manufacturing firm, hospital, school, or even household operate its own generating equipment? Why do we use incandescent lamps rather than arc lamps or gas lamps for lighting? At the end of the nineteenth century, the first era of the electricity industry, all these technical as well as organizational forms were indeed possible alternatives. The centralized systems we see today comprise integrated, urban, central station firms which produce and sell electricity to users within a monopolized territory. Yet there were visions of a more decentralized electricity industry. For instance, a geographically decentralized system might have dispersed small systems based around an isolated or neighborhood generating dynamo; or a functionally decentralized system which included firms solely generating and transmitting the power, and selling the power to locally‐owned distribution firms (McGuire, Granovetter, and Schwartz, forthcoming). Similarly, the incandescent lamp was not the only illuminating device available at that time. The arc lamp was more suitable for large‐space lighting than incandescent lamps; and the second‐generation gas lamp ‐ Welsbach mantle lamp ‐ was much cheaper than the incandescent electric light and nearly as good in quality (Passer, 1953:196–197).

Historically black colleges and universities (HBCUs) possess a long-standing history of asserting their voices in the fight against numerous injustices within the American, international, and black context. Despite HBCUs' engagement in these affairs, much more advocacy and action at HBCUs are needed to promote the inclusion of their black queer and trans* students. Evidence from studies centered on the experiences of black queer students at HBCUs suggests the need for HBCUs to develop transformational policies and practices. Thus, creating transformational policies and practices could potentially promote the full, uninhibited participation of black queer and trans* students. To that end, this conceptual chapter employs Abes (2009) theoretical borderlands concept to (re)imagine the inclusion of black queer and trans* students at HBCUs. Namely, the transformational tapestry model (Rankin & Reason, 2008), a quare theory framework (QTF; Ferguson, 2004; Johnson, 2005; Johnson & Henderson, 2005), and traditional heterogendered institutions concept (Preston & Hoffman, 2015) are presented in this chapter as a vehicle for (re)imaging this transformational inclusion. By bridging these theoretical frameworks together, I seek to illuminate how HBCU campuses can systematically address queer and trans* student inclusion, protections, and empowerment on these campuses. At the conclusion of this chapter, I offer ways in which this conceptual framework can assist in increasing the enrollment, retention, persistence, engagement, and graduation of black queer and trans* students at HBCUs.

Heterogeneity in choice models is typically assumed to have a normal distribution in both Bayesian and classical setups. In this paper, we propose a semiparametric Bayesian framework for the analysis of random coefficients discrete choice models that can be applied to both individual as well as aggregate data. Heterogeneity is modeled using a Dirichlet process, which varies with consumers’ characteristics through covariates. We develop a Markov Chain Monte Carlo algorithm for fitting such model, and illustrate the methodology using two different datasets: a household-level panel dataset of peanut butter purchases, and supermarket chain-level data for 31 ready-to-eat breakfast cereal brands.