Community,Ethnicity, and Class in a Changing Rural California Town*

Abstract This study investigates how community is constructed, maintained, and contested among diverse residents of a rural town in California's Central Valley. Drawing on observations, interviews, and archival material, I examine the way in which ethnicity and class play a significant role in recasting how community is organized and interpreted by Mexicans and long‐term white residents. In my field site, Mexicans have long been involved in (in)formal community‐making, yet long‐term white residents perceive a “loss of community” because social relations are no longer structured around an agrarian culture that at one time reinforced ties through volunteerism and interaction in local mainstream institutions. This article demonstrates the continual significance of place and interaction in defining community, but suggests that immigrants develop communities of need aimed at providing important social, emotional, and political support absent in mainstream society. Finally, this study also speaks of the competition for representation and respectability among rural residents developing a sense of belonging. “Community” is never simply the recognition of cultural similarity or social contiguity but a categorical identity that is premised on various forms of exclusion and constructions of otherness     

Networks and Agricultural Development: The Case of Soybean Production and Consumption in Brazil

Diffusion theory and political economy are the two most common ways by which rural sociologists have explained the widespread use of agricultural innovations. In this paper, we argue, borrowing from science studies and using the empirical case of soybeans in Brazil, that the use of agricultural innovations is better understood as the result of the construction of networks of people and things. Thirty years ago soybean production in Brazil was insignificant. However, at that time a soybean network began to be formed. Initial actors were, among others, (1) soybean varieties produced in the United States, (2) wheat farmers located in the south of Brazil, and (3) soil in need of nitrogen, an expensive input for the new wheat varieties. State policies were no doubt important in consolidating that network. However, other persons, institutions and things were also necessary, including science and technology, the creation and/or expansion of farmers' organizations such as cooperatives, and the solution to the problem of photoperiod sensitivity in soybeans. We follow the soybean from its introduction in Brazil to its present status as an important crop. The overall context within which the soybean network began is also described. We conclude that the actor network approach is more congruent with the history of soybeans in Brazil than diffusion theory or political economy.     

The computational complexity of QoS measures for orchestrations

We consider Web services defined by orchestrations in the Orc language and two natural quality of services measures, the number of outputs and a discrete version of the first response time. We analyse first those subfamilies of finite orchestrations in which the measures are well defined and consider their evaluation in both reliable and probabilistic unreliable environments. On those subfamilies in which the QoS measures are well defined, we consider a set of natural related problems and analyse its computational complexity. In general our results show a clear picture of the difficulty of computing the proposed QoS measures with respect to the expressiveness of the subfamilies of Orc. Only in few cases the problems are solvable in polynomial time pointing out the computational difficulty of evaluating QoS measures even in simplified models.     

Some asymptotic results for the integrated empirical process with applications to statistical tests

The main purpose of this paper is to investigate the strong approximation of the integrated empirical process. More precisely, we obtain the exact rate of the approximations by a sequence of weighted Brownian bridges and a weighted Kiefer process. Our arguments are based in part on the Komlós et al. (1975 Komlós, J., Major, P., Tusnády, G. (1975). An approximation of partial sums of independent RV's and the sample DF. I. Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 32:111–131.[Crossref], [Web of Science ®] , [Google Scholar])'s results. Applications include the two-sample testing procedures together with the change-point problems. We also consider the strong approximation of the integrated empirical process when the parameters are estimated. Finally, we study the behavior of the self-intersection local time of the partial-sum process representation of the integrated empirical process.     

The Experience of Learning EFT in Spanish-speaking Countries: A Multi-National Replication Study

This study is a multi-national follow-up to the original (Sandberg and Knestel (2011) Journal of Marital and Family Therapy, 37, 393–410) article on the process of learning Emotionally Focused Couples Therapy (EFT). A total of 102 clinicians from nine Spanish-speaking countries (Mexico, Costa Rica, Guatemala, Spain, Colombia, Argentina, Chile, Ecuador, and El Salvador) participated in the study. A comparison of results across the two studies revealed more similarities than differences. However, a few notable differences emerged from responses to qualitative questions, namely a heightened sense of appreciation for and resonance with the focus on core emotion in EFT and less frequent reports of difficulty learning and adapting to the model among Spanish-speaking therapists. These differences were consistent with common cultural values and forms of expression in Latin America and Spain. Results are discussed in terms of training, supervision, and future research as well.     

The Touchard distribution

We present a novel model, which is a two-parameter extension of the Poisson distribution. Its normalizing constant is related to the Touchard polynomials, hence the name of this model. It is a flexible distribution that can account for both under- or overdispersion and concentration of zeros that are frequently found in non-Poisson count data. In contrast to some other generalizations, the Hessian matrix for maximum likelihood estimation of the Touchard parameters has a simple form. We exemplify with three data sets, showing that our suggested model is a competitive candidate for fitting non-Poisson counts.     

Does the sectoral composition of growth affect child stunting reductions?

This article uses a natural experiment based on random and exogenous variations in temperature to examine whether the sectoral composition of growth has an effect on child stunting reductions. Agricultural growth is central to food security strategies in developing countries, as it is often considered the most effective way to fight (child) undernutrition. The evidence base to support the putative superior role of agricultural growth is, however, relatively weak, possibly because studies have ignored growth faltering. Accounting for the latter, we find that while both agricultural and non‐agricultural growth decrease stunting, agricultural growth is significantly superior to non‐agricultural growth in this regard. The estimated impacts are large, in that a 10% increase in agricultural GDP per capita reduces child stunting by 9.6% (as opposed to 8.4% for non‐agricultural).