Supernaturalist analytic existentialism: Critical notice of Clifford Williams’ Religion and the meaning of life

International Journal for Philosophy of Religion - In this critical notice of Clifford Williams’ Religion and the meaning of life, I focus on his argumentation in favour of the moderate...     

The three-class ideal observer for univariate normal data: Decision variable and ROC surface properties

Although a fully general extension of ROC analysis to classification tasks with more than two classes has yet to be developed, the potential benefits to be gained from a practical performance evaluation methodology for classification tasks with three classes have motivated a number of research groups to propose methods based on constrained or simplified observer or data models. Here we consider an ideal observer in a task with underlying data drawn from three univariate normal distributions. We investigate the behavior of the resulting ideal observer’s decision variables and ROC surface. In particular, we show that the pair of ideal observer decision variables is constrained to a parametric curve in two-dimensional likelihood ratio space, and that the decision boundary line segments used by the ideal observer can intersect this curve in at most six places. From this, we further show that the resulting ROC surface has at most four degrees of freedom at any point, and not the five that would be required, in general, for a surface in a six-dimensional space to be non-degenerate. In light of the difficulties we have previously pointed out in generalizing the well-known area under the ROC curve performance metric to tasks with three or more classes, the problem of developing a suitable and fully general performance metric for classification tasks with three or more classes remains unsolved.     

Integrative Complexity Coding Raises Integratively Complex Issues

Conway, Conway, Gornick, and Houck (2014) report a major effort to automate integrative complexity coding. Judging this effort requires researchers to be more explicit in articulating key methodological assumptions about the coding process and theoretical assumptions about the construct. Unresolved issues include: (1) when, and on what basis, we should attribute divergences between human coders and algorithms to overestimations or underestimations by one or the other approach; and (2) to what extent second‐generation algorithms can yield Pareto improvements that reduce errors of both underestimation and overestimation. Further progress in developing natural language processing measures of this cognitive style will require sharper definitions of target constructs: in particular, different types of differentiation (dialectical and elaborative) and integration (hierarchical and flexible) and clearer guidelines for factoring context into assessments.     

The Nature of Poverty as an Inhuman Condition

In this article, part of a symposium devoted to Hennie Lötter’s Poverty, Ethics and Justice, my aims are threefold. First, I present a careful reading of Lötter’s original and compelling central conception of the nature of poverty as the inability to ‘obtain adequate economic resources….to maintain physical health and engage in social activities distinctive of human beings in their respective societies’. After motivating this view, particularly in comparison to other salient accounts of poverty, I, second, raise some objections to it, regarding relativistic implications that it has. Third, I propose another, more universalist conception of the nature of poverty, which is inspired by some of Lötter’s other remarks and which is all the stronger. According to this view, people are more poor, the less they can obtain adequate economic resources to pursue a wide array of finally valuable activities and states characteristic of human beings. I conclude by briefly pointing out how this view merits critical comparison with related views, such as Martha Nussbaum’s Capabilities Approach.