Exploring variation in active network size: Constraints and ego characteristics

Studies of active personal networks have primarily focused on providing reliable estimates of the size of the network. In this study, we examine how compositional properties of the network and ego characteristics are related to variation in network size. There was a negative relationship between mean emotional closeness and network size, for both related and unrelated networks. Further, there was a distinct upper bound on total network size. These results suggest that there are constraints both on the absolute number of individuals that ego can maintain in the network, and also on the emotional intensity of the relationships that ego can maintain with those individuals.     

‘There Isn't Supposed To Be a Speaker Against!’ Investigating Tensions of ‘Safe Space’ and Intra‐Group Diversity for Trade Union Lesbian and Gay Organization

Trade union engagement with the continuing inequalities facing minority groups has been one of the guiding principles of attempts to re‐energize the labour movement in recent years. This article focuses on attempts by six British trade unions to create and maintain separate organizational ‘spaces’ for their lesbian and gay members. Through consideration of group representation within a union framework, the strategy of separate organizing and the complications of representing a diverse membership, this article considers issues of intra‐group diversity and ‘safe space’ for this particular group of members. It concludes that the recognition and actualization of the internally diverse lesbian and gay constituency will be important in the long term for trade unions seeking to renew their pool of potential activists.     

An online classification EM algorithm based on the mixture model

Mixture model-based clustering is widely used in many applications. In certain real-time applications the rapid increase of data size with time makes classical clustering algorithms too slow. An online clustering algorithm based on mixture models is presented in the context of a real-time flaw-diagnosis application for pressurized containers which uses data from acoustic emission signals. The proposed algorithm is a stochastic gradient algorithm derived from the classification version of the EM algorithm (CEM). It provides a model-based generalization of the well-known online k-means algorithm, able to handle non-spherical clusters. Using synthetic and real data sets, the proposed algorithm is compared with the batch CEM algorithm and the online EM algorithm. The three approaches generate comparable solutions in terms of the resulting partition when clusters are relatively well separated, but online algorithms become faster as the size of the available observations increases.     

FEAR IN THE NEWS

Fear pervades popular culture and the news media. Whether used as a noun, verb, adverb, or adjective, an ongoing study finds that the word "fear'pervades news reports across all sections of newspapers, and is shown to move or "travel'from one topic to another. The use of fear and the thematic emphases spawned by entertainment formats are consistent with a "discourse of fear,'or the pervasive communication, symbolic awareness and expectation that danger and risk are a central feature of the effective environment. A qualitative content analysis of a decade of news coverage in The Arizona Republic and several other major American news media (e.g., the Los Angeles Times , and ABC News) reveals that the word "fear'appears more often than it did several years ago, particularly in headlines, where its use has more than doubled. Comparative materials obtained through the Lexis/Nexis information base also reveals that certain themes are associated with a shifting focus of fear over the years (e.g., violence, drugs, AIDS), with the most recent increases associated with reports about children. Analysis suggests that this use of fear is consistent with popular culture oriented to pursuing a "problem frame'and entertainment formats, which also have social implications for social policy and reliance on formal agents of social control.     

Band Spectral Regression with Trending Data

Band spectral regression with both deterministic and stochastic trends is considered. It is shown that trend removal by regression in the time domain prior to band spectral regression can lead to biased and inconsistent estimates in models with frequency dependent coefficients. Both semiparametric and nonparametric regression formulations are considered, the latter including general systems of two‐sided distributed lags such as those arising in lead and lag regressions. The bias problem arises through omitted variables and is avoided by careful specification of the regression equation. Trend removal in the frequency domain is shown to be a convenient option in practice. An asymptotic theory is developed and the two cases of stationary data and cointegrated nonstationary data are compared. In the latter case, a levels and differences regression formulation is shown to be useful in estimating the frequency response function at nonzero as well as zero frequencies.     

Hiding in Plain Sight

Abstract

“The Scarab” (1907), a sprawling Shingle-style house in Wellesley, Massachusetts, was built by poet and professor Katharine Lee Bates as a home for herself and her partner Katharine Coman, a social economist and labor activist. Both women had lived and taught at Wellesley College, founded as a single-sex institution for higher education in 1870, for over a quarter of a century. In their new home they adapted many of its hybrid spaces for living and working, surrounding themselves with friends, family, colleagues, and students to form a lively and engaged community of women. While it decisively broke with familiar conventions in both plan and program, “The Scarab” nonetheless fits comfortably in its leafy, suburban neighborhood, demonstrating that this committed couple could “hide in plain sight” while radically queering the terms of early-twentieth-century domesticity.     

Still a “Stalled Revolution”? Work/Family Experiences,Hegemonic Masculinity,and Moving Toward Gender Equality

Hochschild described the “stalled revolution” in the late 1980s: women made great gains in labor force opportunities, particularly in stereotypically “masculine” fields, yet men did not move comparably into “feminine” roles. This article examines the current “stalls” in the gender equality movement regarding gendered experiences at work and home, including occupations, the gender wage gap, career trajectories, and the division of household labor. This article also discusses efforts to “unstall” the gender revolution. Pop culture solutions on the individual‐level and academic research on structural/cultural barriers often focus on women's access to historically “masculine” roles (e.g. representation in STEM fields). There is far less emphasis on men's involvement in historically “feminine” roles. Gender scholars examine hegemonic masculinity as the narrowly constrained expectations for men's “appropriate” behavior. While efforts to “unstall” the gender revolution focus largely on expanding women's opportunities, this article addresses why the gender revolution will remain incomplete and “stalled” without redefining hegemonic masculinity. Cross‐national research demonstrates that changing views of masculinity are critical for greater gender equality at work and home.