Digital Sociology: Emergent Technologies in the Field and the Classroom

In this essay, I use my own research experiences to address a critical intersection between technology and sociology. I suggest that thinking reflexively about technology might enhance both how sociologists do research and how they teach about it.     

Assessing Speech Discrimination in Individual Infants

Assessing speech discrimination skills in individual infants from clinical populations (e.g., infants with hearing impairment) has important diagnostic value. However, most infant speech discrimination paradigms have been designed to test group effects rather than individual differences. Other procedures suffer from high attrition rates. In this study, we developed 4 variants of the Visual Habituation Procedure (VHP) and assessed their robustness in detecting individual 9‐month‐old infants' ability to discriminate highly contrastive nonwords. In each variant, infants were first habituated to audiovisual repetitions of a nonword (seepug) before entering the test phase. The test phase in Experiment 1 (extended variant) consisted of 7 old trials (seepug) and 7 novel trials (boodup) in alternating order. In Experiment 2, we tested 3 novel variants that incorporated methodological features of other behavioral paradigms. For the oddity variant, only 4 novel trials and 10 old trials were used. The stimulus alternation variant was identical to the extended variant except that novel trials were replaced with “alternating” trials—trials that contained repetitions of both the old and novel nonwords. The hybrid variant incorporated elements from both the oddity and the stimulus alternation variants. The hybrid variant proved to be the most successful in detecting statistically significant discrimination in individual infants (8 out of 10), suggesting that both the oddity and the stimulus alternation features contribute to providing a robust methodology for assessing discrimination in individual infants. In Experiment 3, we found that the hybrid variant had good test‐retest reliability. Implications of these results for future infant speech perception work with clinical populations are discussed.     

Adaptive independence samplers

Markov chain Monte Carlo (MCMC) is an important computational technique for generating samples from non-standard probability distributions. A major challenge in the design of practical MCMC samplers is to achieve efficient convergence and mixing properties. One way to accelerate convergence and mixing is to adapt the proposal distribution in light of previously sampled points, thus increasing the probability of acceptance. In this paper, we propose two new adaptive MCMC algorithms based on the Independent Metropolis–Hastings algorithm. In the first, we adjust the proposal to minimize an estimate of the cross-entropy between the target and proposal distributions, using the experience of pre-runs. This approach provides a general technique for deriving natural adaptive formulae. The second approach uses multiple parallel chains, and involves updating chains individually, then updating a proposal density by fitting a Bayesian model to the population. An important feature of this approach is that adapting the proposal does not change the limiting distributions of the chains. Consequently, the adaptive phase of the sampler can be continued indefinitely. We include results of numerical experiments indicating that the new algorithms compete well with traditional Metropolis–Hastings algorithms. We also demonstrate the method for a realistic problem arising in Comparative Genomics.     

Is Epidemiology the Key to Cumulative Risk Assessment?

Although cumulative risk assessment by definition evaluates the joint effects of chemical and nonchemical stressors, studies to date have not considered both dimensions, in part because toxicological studies cannot capture many stressors of interest. Epidemiology can potentially include all relevant stressors, but developing and extracting the necessary information is challenging given some of the inherent limitations of epidemiology. In this article, I propose a conceptual framework within which epidemiological studies could be evaluated for their inclusion into cumulative risk assessment, including a problem formulation/planning and scoping step that focuses on stressors meaningful for risk management decisions, extension of the chemical mixtures framework to include nonchemical stressors, and formal consideration of vulnerability characteristics of the population. In the long term, broadening the applicability and informativeness of cumulative risk assessment will require enhanced communication and collaboration between epidemiologists and risk assessors, in which the structure of social and environmental epidemiological analyses may be informed in part by the needs of cumulative risk assessment.     

IMF Gold and the World Bank's Unfunded HIPC Deficit

The World Bank is to forgive $12.24 billion in IDA debt payments from HIPC borrowers. It has received $1 billion from the HIPC Trust Fund to help offset these losses, but still has a $11.6 billion unfunded liability. The IMF has gold worth $38 billion on hand for which it has no actual use. This article proposes that a small portion of IMF gold be sold annually, just enough to offset IDA's annual HIPC deficit, over the next twenty years. The new money would be additional and predictable, and would eliminate the prospect that IDA would have to cut back its future flow of aid because the HIPC programme had drained its resources.     

Evaluating the Applicability of the Miles and Snow Typology in a Regulated Public Utility Environment

This paper examines and evaluates the applicability of the Miles and Snow organizational strategy, structure and process model to the electricity distribution and supply industry of England and Wales (ESI), and specifically the regional electricity companies (RECs). In the past such generic strategy models have principally been applied to industries that conform to the traditional free-market paradigm, and doubt has been cast upon their applicability in non-traditional environments. This paper argues in contrast that generic strategies are of considerable value in the regulated industries, especially those developing new strategies to address major change, such as the approach of full competition. As a feature of this process, the paper also examines some of the differences and similarities between the ESI and the traditional free-market paradigm. However, having argued for the use of such strategies, it is necessary to make various amendments to enhance the applicability of the model. These amendments and the characteristics of new generic strategies are described.     

Bayesian disclosure risk assessment: predicting small frequencies in contingency tables

Summary.  We propose an approach for assessing the risk of individual identification in the release of categorical data. This requires the accurate calculation of predictive probabilities for those cells in a contingency table which have small sample frequencies, making the problem somewhat different from usual contingency table estimation, where interest is generally focused on regions of high probability. Our approach is Bayesian and provides posterior predictive probabilities of identification risk. By incorporating model uncertainty in our analysis, we can provide more realistic estimates of disclosure risk for individual cell counts than are provided by methods which ignore the multivariate structure of the data set.     

The Gaussian rank correlation estimator: robustness properties

The Gaussian rank correlation equals the usual correlation coefficient computed from the normal scores of the data. Although its influence function is unbounded, it still has attractive robustness properties. In particular, its breakdown point is above 12%. Moreover, the estimator is consistent and asymptotically efficient at the normal distribution. The correlation matrix obtained from pairwise Gaussian rank correlations is always positive semidefinite, and very easy to compute, also in high dimensions. We compare the properties of the Gaussian rank correlation with the popular Kendall and Spearman correlation measures. A simulation study confirms the good efficiency and robustness properties of the Gaussian rank correlation. In the empirical application, we show how it can be used for multivariate outlier detection based on robust principal component analysis.     

Leisure Inequality in the United States: 1965–2003

This article exploits the complex sequential structure of the diary data in the American Heritage Time Use Study (AHTUS) and constructs three classes of indicators that capture the quality of leisure (pure leisure, co-present leisure, and leisure fragmentation) to show that the relative growth in leisure time enjoyed by low-educated individuals documented in previous studies has been accompanied by a relative decrease in the quality of that leisure time. These results are not driven by any single leisure activity, such as time spent watching television. Our findings may offer a more comprehensive picture of inequality in the United States and provide a basis for weighing the relative decline in earnings and consumption for the less-educated against the simultaneous relative growth of leisure.     

A critique of neoliberalism with fierceness: queer youth of color creating dialogues of resistance

As a form of deregulated capitalism that has run amok, commodifying all that is in its path, and as a cultural means of commodifying Black and brown bodies, neoliberalism has taken a serious toll on the lives of working-class queer youth of color. Although it has hijacked spaces of cultural representation and material production, neoliberal capitalism is far from transparent. Through resistance, activism and performance queer youth of color have now started to shape a critique of oppressive structures, neoliberal policies, and pedagogical practices that are critical of their intersecting identities. This article examines neoliberalism's impact on education, focusing on educational policy and how these policies have affected queer youth of color in the urban centers of our major cities. This article also considers the contributions made by educators writing from the perspective of critical pedagogy in addressing the plight of queer youth of color in U.S. schools while employing the example of the dance group, Innovation, as way of addressing the havoc of neoliberalism in the lives of queer youth of color through performance and activism. This group has not only transformed notions of gender, race, class and sexuality that challenge major tenants of neoliberalism, but has also served as potent sites for the development of a critical pedagogy for working-class queer youth of color. Through sites of resistance rooted in progressive struggle, queer youth of color must be enabled by critical transformative intellectuals committed to encouraging youth to critically evaluate and challenge ideologies while displaying an allegiance to egalitarianism.