‘Are you gonna show this to white people?’: Chicana/o and Latina/o students’ counter-narratives on race,place, and representation

This article explores the recurring narratives on race, place and representation that emerged in the talk of Chicana/o and Latina/o sixth-graders at a middle school in East Los Angeles, California. Discourse analytic methods are used to closely examine how these narratives were constructed within the contexts of everyday classroom interactions. Drawing on the notion of counter-storytelling from critical race theory, the article highlights how these sixth-grade students articulated counter-narratives about who they were and what their community was like – often in direct opposition to what they perceived as white people’s stereotypical assumptions and misperceptions. It is argued that these narratives constitute a powerful and sophisticated critique of dominant narratives that frame working-class Chicana/o and Latina/o students in racist and pejorative terms. The article ends with a discussion of implications for understanding youth agency and the politics of representation.     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.     

Classification rules for triply multivariate data with an AR(1) correlation structure on the repeated measures over time

In this article we study the problem of classification of three-level multivariate data, where multiple q$q$-variate observations are measured on u$u$-sites and over p$p$-time points, under the assumption of multivariate normality. The new classification rules with certain structured and unstructured mean vectors and covariance structures are very efficient in small sample scenario, when the number of observations is not adequate to estimate the unknown variance–covariance matrix. These classification rules successfully model the correlation structure on successive repeated measurements over time. Computation algorithms for maximum likelihood estimates of the unknown population parameters are presented. Simulation results show that the introduction of sites in the classification rules improves their performance over the existing classification rules without the sites.     

Digital media,subcultural activity and youth participation: the cases of protest rap and graffiti in Portugal

Over the last decade, we have witnessed the emergence of an academic debate surrounding the relationship between youth and the ‘new media’, with a particular emphasis on the social uses of different digital technologies within the sphere of youth activity. A specific area of research has been dedicated to studying the use of digital media in the context of the so-called youth subcultures. With this article we expect to contribute to this ongoing debate, by examining the problem through an analysis of two interconnected case studies: protest rap and illegal graffiti. Both cases may be defined as subcultures, insofar as they are characterized as alternative, subterranean, and to a certain extent, subversive movements. The empirical ground for this discussion is based on several investigations, with a qualitative basis, carried out by the authors in the course of over a decade in Portugal. This extended time frame allowed ample access to a diversified and matured analytical material and enabled a better perspective of the developments and the mutations involving the appropriation of the digital media. Our researches have shown that digital media and technologies have been gradually integrated in these urban youth subcultures, accomplishing several strategic roles.     

Affective capitalism,humanitarianism and extractivism in Colombia: old and new borders for future times

Contemporary Colombian conjuncture encompasses two dynamics. These incorporate social, economic, political and cultural aspects, whose related rationalities are yet to be mapped out and understood in their complex and multi-layered dimensions and registers. On the one hand, as I will explain throughout the text, we have been witness to on-going peace talks between the government and the Fuerzas Armadas Revolucionarias de Colombia guerrilla group, a whole set of practices of forgiveness, inaugurations of memory museums, the passing of the victims and land restitution law, as well as the recognition of victims and the effervescence of their movements and organizations. These factors have spiralled victims’ demonstrations and fuelled marches all over the country. On the other hand, there are increased rates of foreign investment in those regions that, until as little as a decade ago, were subject to appalling rates of internal displacement, massacres and disappearances, and which now constitute new borders where global capitalism has been able to reconfigure and increase its rates of capital accumulation. In this article, I analyse the processes referred to above and their complex relationships from the vantage point of a cultural studies interrogation of the affective and the popular, focusing on two Colombian regions: Montes de María and Mapiripán. My goal is to understand how different groups and actors are experiencing these processes in their everyday lives. Here, I include victims and their organizations but also government officials and entrepreneurs related to agro-industry initiatives – mentioned below – today refashioned within the new mantra of corporate responsibility. I want to understand the issue of where people are located and what they are doing, facing, consuming, or resisting in terms of these new challenges. Finally, I wish to offer an analytical study that can capture the everyday textures of these processes in a complex and concrete fashion.     

A nonparametric bayesian approach to analysis of drug dependence data

In this paper, a nonparametric Bayesian approach to the analysis of binary response data is considered. Using a Dirichlet process prior, and squared error loss, the Bayes estimators of response probabilities are obtained. Finally, the results obtained are employed to analyze the ARC 090 Trial data.     

General m-esttmators and applications to bounded influence estimation for non-linear regression

In this paper, we study the M-estimators in the case that λ_F:(β)=E_F:(φ(Z,β))=0 has more than one solution, We show that the numerical iterative procedures converge and that the resulting estimators are consistent and asymptotically normal. We apply them to the non-linear regression models, and then, we find an optimal M-estimate among those that have bounded gross error sensitivity.