The Social Ecology of Race and Ethnicity School Achievement Gaps: Economic,Neighborhood, School,and Family Factors

This study used a nationally representative sample of middle and high school students to examine the degree to which economic, neighborhood, school, and family factors contributed to three points on a proposed school outcome continuum: (1)avoidance of problem behavior, (2)sense of school coherence, and (3)grades. Multilevel models were employed to account for the clustering of students inside schools. Results suggested that though family and neighborhood social factors contribute to variance in school outcomes, family and neighborhood economic factors revealed the largest potential to explain and therefore present leverage points to reduce race and ethnicity achievement gaps.     

Latent Profiles of Discrimination and Socialization Predicting Ethnic Identity and Well‐Being Among Asian American Adolescents

Ethnic identity is rooted in sociocultural processes, but little is known about how social interactions predict its longitudinal changes. Using data from 154 Asian American adolescents, latent profile analysis derived four typologies based on unfair treatment (i.e., discrimination, model minority stereotyping) and ethnic socialization (i.e., cultural socialization, preparation for bias, promotion of mistrust): Low Cultural Salience, High Cultural Salience with Marginalization, Culturally Prepared with Low Mistrust, and High Mistrust/Discrimination. Few gender or generational differences in profile membership were found. Positive outcomes were linked to adolescents attuned to both positive and negative experiences, Culturally Prepared with Low Mistrust, who reported increases in ethnic belonging and decreases in negative emotions. The implications for identity formation and adjustment are discussed.     

Getting Real About Food Prices

The 2008 spike in world grain prices is widely recognised to have had serious impacts on food security and poverty, but these high grain prices are commonly described as low in historical terms – an inconsistency resulting from the use of advanced‐ and global‐economy price indices in calculating real prices. This ignores the high share of food in poor people's expenditures and the indirect effects of income growth on expenditure patterns of rich consumers. Poor consumers have not experienced the same falls in real food prices and are more vulnerable to price shocks. Different price indices must be developed to take account of differences between consumer groups.     

The Emergence of Associational Life in México’s Wild West: Pioneering Civic Participation,Sea Turtle Conservation,and Environmental Awareness in Baja California Sur

This research explores the contributions of the sea turtle conservation movement in Baja California Sur (B.C.S.), Mexico, to the growth of associational life in the state. Mexico has historically been known as a country with a traditionally weak associational life. Yet, the activities of sea turtle NGOs and community groups presented a unique case study to better understand the social, political, and strategic factors that have contributed to voluntary civic engagement and the environmental successes of the movement. Through 799 interviews and surveys with public stakeholders, this research utilized Sabet’s (Democratization 2:410–432, 2008) focus on political opportunity, efforts to reform informal rules, and supportive social networks, as an explanatory framework to help describe the emergence of associational life. We found that the sea turtle conservation movement in B.C.S. has become accessible to a diversity of interests and individuals. We found unexpected results in the extent of federal environmental agency complaisance in regard to the involvement of NGOs in conservation programs and environmental policy decisions that have traditionally been the sole domain of the Government of Mexico.     

The social stratification of tongue shape for postvocalic /r/ in Scottish English1

The sociolinguistic modelling of phonological variation and change is almost exclusively based on auditory and acoustic analyses of speech. One phenomenon which has proved elusive when considered in these ways is the variation in postvocalic /r/ in Scottish English. This study therefore shifts to speech production: we present a socioarticulatory study of variation of postvocalic /r/ in CVr (e.g. car) words, using a socially‐stratified ultrasound tongue imaging corpus of speech collected in eastern central Scotland in 2008. Our results show social stratification of /r/ at the articulatory level, with middle‐class speakers using bunched articulations, while working‐class speakers use greater proportions of tongue‐tip and tongue‐front raised variants. Unlike articulatory variation of /r/ in American English, the articulatory variants in our Scottish English corpus are both auditorily distinct from one another, and correlate with strong and weak ends of an auditory rhotic continuum, which also shows clear social stratification.     

Muriel Dimen Interviewed by Andrew Samuels in the Context of the Publication of Her Book Sexuality,Intimacy, Power

Samuels interviewed Dimen in lieu of a book review for her Sexuality, Intimacy, Power. The interview was unstructured and dialogical and covered the following main topics: (a) professional issues in the field of psychoanalysis such as the relation of theory to practice and reflections on the nature and content of trainings in psychoanalysis; (b) issues in the broad areas of sexuality and gender including the question of moral relativism with respect to sexual behaviors historically designated as “perverse” and considerations of masculinity, femininity, and patriarchy; (c) intellectual considerations such as the relations between anthropology and psychoanalysis and the as yet indeterminate nature of the discipline of psychoanalysis, neither art nor science and not a hybrid of the two; and (d) the political, social, and cultural contexts within which psychoanalytic endeavors including the interview itself are taking place.     

Improved bridge constructs for stochastic differential equations

We consider the task of generating discrete-time realisations of a nonlinear multivariate diffusion process satisfying an Itô stochastic differential equation conditional on an observation taken at a fixed future time-point. Such realisations are typically termed diffusion bridges. Since, in general, no closed form expression exists for the transition densities of the process of interest, a widely adopted solution works with the Euler–Maruyama approximation, by replacing the intractable transition densities with Gaussian approximations. However, the density of the conditioned discrete-time process remains intractable, necessitating the use of computationally intensive methods such as Markov chain Monte Carlo. Designing an efficient proposal mechanism which can be applied to a noisy and partially observed system that exhibits nonlinear dynamics is a challenging problem, and is the focus of this paper. By partitioning the process into two parts, one that accounts for nonlinear dynamics in a deterministic way, and another as a residual stochastic process, we develop a class of novel constructs that bridge the residual process via a linear approximation. In addition, we adapt a recently proposed construct to a partial and noisy observation regime. We compare the performance of each new construct with a number of existing approaches, using three applications.     

Resampling-based Classification Using Depth for Functional Curves

The depths, which have been used to detect outliers or to extract a representative subset, can be applied to classification. We propose a resampling-based classification method based on the fact that resampling techniques yield a consistent estimator of the distribution of a statistic. The performance of this method was evaluated with eight contaminated models in terms of Correct Classification Rates (CCRs), and the results were compared with other known methods. The proposed method consistently showed higher average CCRs and 4% higher CCR at the maximum compared to other methods. In addition, this method was applied to Berkeley data. The average CCRs were between 0.79 and 0.85.