Modernist misapprehensions of Foucault's aesthetics

Abstract

Several critics of Foucault, notably Alan Megill and Jürgen Habermas, accuse Foucault of being an ‘aestheticist’. As such, Foucault fails to realise that the very appeal to aesthetics is made possible by modernity's rationalization, which offers better resources for emancipation than dangerous aestheticizations. This paper argues that such criticisms mistakenly deploy only certain modernist notions of aesthetics against Foucault. There are some fair grounds for holding that Foucault does appeal to such conceptions of aesthetics in his theorization of transgression, not least because of his interest in modernist, avant‐garde writers and artists such as Roussel and Magritte. Yet, overall, Foucault's interest in avant‐garde aesthetics is not modernist in the sense understood by his critics. Foucault tends to focus on modernist illustration of the absence of foundations for representation and language, adopting a paraesthetic angle of critique. The limiting conditions that make representation possible can be seen in this light as both contingent yet necessary. Foucault's model of critique is developed in his early analyses of avant‐garde art and then expanded to cover subjectivity and the aesthetics of existence in his later philosophical critical ethos of modernity. Foucault uses avant‐garde art as a critical mode of reflection, to analyse and rethink the limits of the present.     

Measuring is Believing! Improving Conventional Indicators of Welfare State Development

Welfare effort (social spending as a percentage of GDP) has conventionally been the preferred measure for comparisons in space and time of the level of development of welfare states. However, a wide variety of other measuring systems are potentially available in this field, because there are different sources and different methods for calculating social spending, so a variety of indicators can be calculated, each of which best reflects a different aspect of social protection systems. This paper presents two innovations: first it proposes options other than those generally used to measure the relative development of welfare states. Secondly, it uses those new measurements to show that some widely accepted conclusions on the relative development of welfare states need to be reviewed.     

A comparison of linear and systems thinking approaches for program evaluation illustrated using the Indiana Interdisciplinary GK-12

Logic models are based on linear relationships between program resources, activities, and outcomes, and have been used widely to support both program development and evaluation. While useful in describing some programs, the linear nature of the logic model makes it difficult to capture the complex relationships within larger, multifaceted programs. Causal loop diagrams based on a systems thinking approach can better capture a multidimensional, layered program model while providing a more complete understanding of the relationship between program elements, which enables evaluators to examine influences and dependencies between and within program components. Few studies describe how to conceptualize and apply systems models for educational program evaluation. The goal of this paper is to use our NSF-funded, Interdisciplinary GK-12 project: Bringing Authentic Problem Solving in STEM to Rural Middle Schools to illustrate a systems thinking approach to model a complex educational program to aid in evaluation. GK-12 pairs eight teachers with eight STEM doctoral fellows per program year to implement curricula in middle schools. We demonstrate how systems thinking provides added value by modeling the participant groups, instruments, outcomes, and other factors in ways that enhance the interpretation of quantitative and qualitative data. Limitations of the model include added complexity. Implications include better understanding of interactions and outcomes and analyses reflecting interacting or conflicting variables.     

The relationship between marriage and family therapists and complementary and alternative medicine approaches: a national survey

Respondents to a mail survey of a random sample (N = 424) of Clinical Members of the American Association for Marriage and Family Therapy provided information about their contexts of practice, use of complementary and alternative medicine (CAM), and relationships with CAM providers. Consistent with both national trends and the experience of psychologists as reported in a similar survey, the results of this survey suggest that marriage and family therapists have been affected significantly by and have a growing awareness of CAM practices. Limitations of the study and implications for the field are discussed.     

Austerity and Neighborhood Politics in Guadalajara, Mexico

The literature on the politics of the urban poor in Latin America is largely bifurcated into two opposing schools. One of these interprets the political behavior of the poor as clientelist, and the other finds the poor engaging in insurgent political participation. In this paper I argue that examining the political economy of place offers us a way to understand these political behaviors on a continuum, rather than recreating a false dichotomy. I examine the impact of political economy and urbanization on home ownership as a survival strategy of the poor in Guadalajara, Mexico, as well as addressing the impact of both these factors on political behavior. In so doing, I show why a neighborhood on the outskirts of Guadalajara grew increasingly supportive of opposition politics. I further suggest that examining political economy effects on urban politics offers a way to understand the politics of the urban poor in Latin America in a more nuanced fashion.     

Ecological inference in the social sciences

Ecological inference is a problem of partial identification, and therefore precise conclusions are rarely possible without the collection of individual level (identifying) data. Without such data, sensitivity analyses provide the only recourse. In this paper we review and critique recent approaches to ecological inference in the social sciences, and describe in detail hierarchical models, which allow both sensitivity analysis and the incorporation of individual level data into an ecological analysis. A crucial element of a sensitivity analysis in such models is prior specification, and we detail how this may be carried out. Furthermore, we demonstrate how the inclusion of a small amount of individual level data from a small number of ecological areas can dramatically improve the properties of such estimates.     

Alleviating linear ecological bias and optimal design with subsample data

Summary.  We illustrate that combining ecological data with subsample data in situations in which a linear model is appropriate provides two main benefits. First, by including the individual level subsample data, the biases that are associated with linear ecological inference can be eliminated. Second, available ecological data can be used to design optimal subsampling schemes that maximize information about parameters. We present an application of this methodology to the classic problem of estimating the effect of a college degree on wages, showing that small, optimally chosen subsamples can be combined with ecological data to generate precise estimates relative to a simple random subsample.     

All-Different Polytopes

We develop a parsimonious integer-programming model for all-different constraints.     

Correlating Post-disaster Support Network Density with Reciprocal Support Relation Satisfaction: An Elderly Cohort Within One Year of the 2011 Japan Disasters

While there has been much empirical investigation into how social support networks improve mental health in post-disaster communities, network density—the extent members within a network are acquainted—remains under-researched. This study examines correlations between support network density and support reciprocity satisfaction in an elderly sample (N = 221), and the influence on post-disaster depression and trauma symptomology in a fishing community south of the Fukushima nuclear plant within 1 year of the March 11, 2011 Japan earthquake. The Brief Inventory of Social Support Exchange Network (BISSEN) taps support network density, support source by relational category, tangible and emotional type, and providing or receiving direction of social support. Density measurement convergent validity was established from questionnaire responses. After confirming network density construct and criteria validity, and extracting components reciprocal support relationship satisfaction, correlation between these two variables was moderate at r = 0.34. However, reciprocity satisfaction moderately explained mental health variance, but results were not significant for density nor interaction between predictors. These results question the assumption that support network density and support reciprocity can be validly incorporated into a construct of “social capital” necessarily promoting mental health.