Global gendered anti-Black belonging and racial ideology

We review theorizations of gendered anti-Blackness and the scholarship on the politics of belonging. Bridging together this literature, we propose gendered anti-Black non-belonging as an alternative framework for addressing African descendant women's expressions and realities of belonging in the United States and Portugal. We select these two cases for their remarkably distinct—yet related—racial ideologies of the state. In the United States, colorblindness is the main ideology of the state whereas in Portugal anti-racial ideology pervades. As we will highlight, the experiences of belonging among African descendant women in the United States and Portugal challenge the veracity of these racial ideologies which work to render gendered anti-Black oppression invisible. In both cases, anti-Black non-belonging means that African descendant women are vulnerable to gendered state violence and racist practices impacting their individual and group belonging; as a result, the right for Black bodies to be in a particular place and space is constantly contested, and, often, violently regulated and disciplined. Yet, anti-Black belonging is both a matter of oppression and resistance. African-descendant women draw from their everyday knowledge of domination to employ resistance. In doing so, as we will argue, they rewrite the national narrative of race, gender and belonging in Portugal and the United States.     

Statistical inference and visualization in scale-space for spatially dependent images

SiZer (SIgnificant ZERo crossing of the derivatives) is a graphical scale-space visualization tool that allows for statistical inferences. In this paper we develop a spatial SiZer for finding significant features and conducting goodness-of-fit tests for spatially dependent images. The spatial SiZer utilizes a family of kernel estimates of the image and provides not only exploratory data analysis but also statistical inference with spatial correlation taken into account. It is also capable of comparing the observed image with a specific null model being tested by adjusting the statistical inference using an assumed covariance structure. Pixel locations having statistically significant differences between the image and a given null model are highlighted by arrows. The spatial SiZer is compared with the existing independent SiZer via the analysis of simulated data with and without signal on both planar and spherical domains. We apply the spatial SiZer method to the decadal temperature change over some regions of the Earth.     

Scale shift in international tax justice: comparing the UK and Australia from 2008 to 2016

ABSTRACT

International tax justice issues, such as corporate tax avoidance, have gained particular salience over the past decade in an environment of financial instability and government austerity. Civil society involvement has ranged from trade unions and NGOs calling for parliamentary inquiries to civil disobedience by less established actors. Since the international financial crisis, how have levels of contentious collective action around these issues waxed and waned? Is contentiousness associated most with domestic politics or global media events like the Panama Papers? This paper uses an original hand-coded dataset from five national newspapers in the United Kingdom and Australia between 2008 and 2016. Political claims analysis (PCA) was used to collect all instances of claims around international tax justice and compare the types of actions and the different frames used by civil society actors. In both countries, mobilising grievances are generated most strongly in the period after domestic austerity policies are introduced. The qualitative coding provides evidence of accompanying frame alignment in these periods, as international taxation is problematized in terms of national revenue, demonstrating scale shift from the global to the national political stage.     

Reinventing a medical specialty. Using anesthesiology as a model for change

In only a decade, anesthesiology has reversed its fortunes from an underrepresented specialty in the 1980 Graduate Medical Education National Advisory Committee report to "a specialty in trouble" featured in The Wall Street Journal. This article focuses on anesthesiology and its work force dilemma as an evolving specialist model for change. What is happening to anesthesiology will not be unique--managed care competition will affect all physicians. Most specialties will have to reshape curricula and redesign education programs and academic delivery systems concentrating on fewer trainees. What are the options for coping with physicians grieving over lost dreams, such as autonomy and solo practice, while redesigning a medical specialty? The authors untangle fact from fear, mission from myth, and offer strategic thinking and solutions.     

Measuring Measurement Error in Economic Time Series

A spectral decomposition method is described for obtaining an upper bound on the amount of measurement error in a time series. The method is applied to generated data and to M1b, real GNP, and the CPI. The bounds provide insight into both the amount of measurement error in these series and the stochastic specification of the errors.     

Working around the Barriers to Creating and Sharing Knowledge in Capital Goods Projects: the Client's Perspective*

The article considers knowledge management issues from the client's perspective. In the example presented, a sludge treatment centre procured by Northumbrian Water Ltd (NWL), the task faced by the client was to manage knowledge in a context where the core technology being procured was new and resulted in the need for new knowledge to be created and shared both pre‐ and post‐delivery. In exploring these issues, the article reveals the problems of (and some solutions to) managing knowledge across the project life‐cycle and between different groups, where the motivation for generating and sharing knowledge was not the same for all participants.     

Experimental design for response surface gradient estimation

In this paper, a new experimental design and gradient estimation procedure is presented for Phase I response surface optimization. The design is motivated by basic principles of differential calculus, which imply that if a point in Rⁿ has been reached by exactly minimizing a function along a given direction, then the gradient of the function at that point must be orthogonal to the search direction followed. While exact line search is not required for the new design to be effective, this principle implies that the dimension of the gradient estimation procedure may often be reduced from n to n-1 variables, and the experimenter is able to concentrate experimental effort within the most productive region around the center of the design. The new design and gradient estimation procedures are presented, and bias and variance properties are derived. The effectiveness of the new design is shown to depend on the experimenter's ability to terminate line search within a near-stationary region of the line search function A simple heuristic is presented which indicates whether the new design should be used at a given experimental region.