An introduction: the predicament of Brazilian culture

‘Truth’ and ideology (as error or falsity), like any other oppositional terms, take up the same productive powers and necessarily track each other very closely. Not much is necessary for any statement to move from the former into the latter field. My review of the main twentieth‐century lines of Brazilian racial studies, in this introduction, traces how they have moved miscegenation and racial democracy back and forth across the border between social scientific ‘truth’ and racial ideology. Because the papers included in this issue, rather than repeating this move, address how these socio‐historical signifiers inform the contemporary Brazilian social configuration, they move beyond the predicament shared by both narratives of the nation and social scientific accounts of racial subjection in Brazil.     

Towards a Critique of the Socio-logos of Justice: The Analytics of Raciality and the Production of Universality

Fear of police terror has long been a daily facet of the lives of economically dispossessed people of colour in the urban spaces of North America, Europe, Latin America, and elsewhere. This essay addresses the conditions of possibility of the form of race injustice manifested in racial profiling and police brutality. It challenges the centrality of the logic of exclusion - the view that race is only politically and socially significant when race identification is explicitly or implicitly used to justify discrimination - in the understanding of race injustice. It explores the political-symbolic processes that have produced the mechanisms of racial power of which police brutality is a most dramatic example. To elaborate this critique of the logic of exclusion, I discuss the newspaper account of an episode of police terror in a favela of Rio de Janeiro, Brazil. What the examination of the newspaper coverage of the Chacina de Vigário Geral reveals, is that this form of race injustice indicated the operation of meanings produced in an analytic of raciality , encompassing the various instances of manufacturing the modern concept of the racial - the science of life , the science of man , and the sociology of race relations.     

Generalized externality games

Externality games are studied in Grafe et al. (1998, Math. Methods Op. Res. 48, 71). We define a generalization of this class of games and show, using the methodology in Izquierdo and Rafels (1996, 2001, Working paper, Univ Barcelona; Games Econ. Behav. 36, 174), some properties of the new class of generalized externality games. They include, among others, the algebraic structure of the game, convexity, and their implications for the study of cooperative solutions. Also the proportional rule is characterized for this class of games.     

Degradation data analysis for samples under unequal operating conditions: a case study on train wheels

Traditionally, reliability assessment of devices has been based on life tests (LTs) or accelerated life tests (ALTs). However, these approaches are not practical for high-reliability devices which are not likely to fail in experiments of reasonable length. For these devices, LTs or ALTs will end up with a high censoring rate compromising the traditional estimation methods. An alternative approach is to monitor the devices for a period of time and assess their reliability from the changes in performance (degradation) observed during the experiment. In this paper, we present a model to evaluate the problem of train wheel degradation, which is related to the failure modes of train derailments. We first identify the most significant working conditions affecting the wheel wear using a nonlinear mixed-effects (NLME) model where the log-rate of wear is a linear function of some working conditions such as side, truck and axle positions. Next, we estimate the failure time distribution by working condition analytically. Point and interval estimates of reliability figures by working condition are also obtained. We compare the results of the analysis via an NLME to the ones obtained by an approximate degradation analysis.     

Chisquared and related inducing pivot variables: an application to orthogonal mixed models

Abstract

We use chi-squared and related pivot variables to induce probability measures for model parameters, obtaining some results that will be useful on the induced densities. As illustration we considered mixed models with balanced cross nesting and used the algebraic structure to derive confidence intervals for the variance components. A numerical application is presented.