Gendered Futures? Women,the ICT Workplace and Stories of the Future

This article investigates stories of the future in relation to women in the information and communications technology (ICT) sector through the development of a theoretical and methodological stance towards the future. Given concerns about the future of the ICT sector in terms of skills shortages and gender imbalances, an understanding of how female ICT professionals view this future is vital. Using data gathered from female ICT professionals in the UK, we look specifically at gendered stories about the future in relation to hybrid/bridger ICT workers, the practices of offshoring/global locating ICT work and the under‐representation of women in ICT. Such stories of the future are part of wider discourses on gender relations in late modern society, and so their examination becomes a conduit for problematizing contemporary discourse about gender, work, time and technology.     

DISCIPLINING DOMESTICITY: Framing the ADHD Parent and Child

This article is a qualitative analysis of the literature that has been directed at parents of children with attention deficit hyperactivity disorder (ADHD). The analysis explores the manner in which texts embodying etiological and treatment discourses surrounding ADHD and its diagnostic precursors (hyperactivity, hyperkinesis, minimal brain dysfunction, ADD, etc.) provide frameworks for an administration of discipline in domestic life. Through the examination of a cross-section of six popular ADHD parenting guides and supplemental textual data sources, this study analyzes how such texts gain credibility with their audience, "frame" the experience of ADHD, and prescribe methods in which the domestic sphere may regulate ADHD-related behaviors. The textual data for the present study should be understood as "ideological representations"(Smith 1990), the analysis of which resonates with much of the disciplinary critique in contemporary social theory, especially the work of Michel Foucault (1977).     

Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates

We present a new algorithm for boosting generalized additive models for location, scale and shape (GAMLSS) that allows to incorporate stability selection, an increasingly popular way to obtain stable sets of covariates while controlling the per-family error rate. The model is fitted repeatedly to subsampled data, and variables with high selection frequencies are extracted. To apply stability selection to boosted GAMLSS, we develop a new “noncyclical” fitting algorithm that incorporates an additional selection step of the best-fitting distribution parameter in each iteration. This new algorithm has the additional advantage that optimizing the tuning parameters of boosting is reduced from a multi-dimensional to a one-dimensional problem with vastly decreased complexity. The performance of the novel algorithm is evaluated in an extensive simulation study. We apply this new algorithm to a study to estimate abundance of common eider in Massachusetts, USA, featuring excess zeros, overdispersion, nonlinearity and spatiotemporal structures. Eider abundance is estimated via boosted GAMLSS, allowing both mean and overdispersion to be regressed on covariates. Stability selection is used to obtain a sparse set of stable predictors.     

R&D in a post centrally-planned economy: The macroeconomic effects in Poland

Half a century of centrally planned policy in the Central and Eastern European countries resulted in outdated technologies, inefficient allocation of resources and low productivity. Following the end of communism there was a fifteen year process of transition which ended in 2004 with eight post-communist countries joining the European Union (EU) of which Poland was the largest. As part of the EU these countries now face the challenge of the common EU strategy Europe 2020, which has set the target of achieving R&D expenditure to GDP ratio (called the R&D intensity) of 3% by 2020 for the Union as a whole in an effort to increase the competitiveness of the region. Poland, like the other post-communist countries, faces a lower target of R&D intensity, set at 1.7%. Nevertheless, the challenge is immense, since the country is still at only half that level and has little experience in developing policies to help achieve it. In this paper we tested two possible policy options to achieve the target: (1) to increase government expenditures on R&D and; (2) to provide tax relief on R&D to businesses. The method applied to assess the options is a recursive dynamic computable general equilibrium (CGE) model for Poland with an explicit link between productivity and R&D stock. The results show that achieving the R&D intensity target via the use of tax relief is 2.5 times more costly to the government budget, but it has a greater impact on the economy in terms of a higher GDP growth. Tax relief proved efficient in the short run while in the long run the government expenditure policy provides better value for money.     

Latino cabinet appointments and young Latino voters: A preliminary look at GOP efforts to attract Latino voters

We examine whether the recent GOP efforts to make Latino cabinet appointments have appealed to young Latinos who comprise a large proportion of the Latino electorate. We found that young Latinos were not aware of many of these appointments and the appointment of Alberto Gonzales to the post of Attorney General was the most visible Latino appointment. Though many did not support Gonzales’ appointment, those we surveyed were eager to see more visible Latino appointments in the future and reported that their perceptions of the Republican Party and former President Bush were improved by the appointment. We also found that young Latinos’ support for the president was greatly impacted by their perception of presidential interest in their community and we argue that Latino representation in appointments may become increasingly important as the Latino population expands.     

STRUCTURING POLITICAL OPINIONS:

Political democracy assumes that citizens can form consistent political attitudes that guide their political actions, thereby communicating political preferences to elites. Responding to the longstanding debate about the democratic competence of the U.S. mass public, we use a multitiered framework of opinion formation to describe the structure of mass opinion, showing that the mass public displays relatively consistent responses across multiple issues and uses these to evaluate presidential candidates. Confirmatory factor analysis allows us to examine multiple models of political attitudes, showing the best fit to be three positively correlated general orientations for economic, social, and racial issues. We find no significant racial or educational differences in the structuring of these attitudes but some evidence of "race-coding" of economic issues and class differences in levels of support for economic and social liberalism. Liberal/conservative self-identification operates as a basic structuring principle for organizing these general orientations with liberals and conservatives assigning different salience to specific issues. These general political orientations, in turn, influence presidential evaluations net of party loyalties. Although the mass public may not be ideologically sophisticated, it is "deliberative and reasonable" in its political thinking and, in this sense, democratically competent.     

Inside insulin signaling, communication is key to long life

In a recent Nature paper, Tatar and colleagues show that inhibition of insulin/insulin-like growth factor (IGF) signaling specifically in the adipose tissue of Drosophila melanogaster retards organismal aging, increases resistance to oxidative stress, augments lipid deposition, and restricts insulin signaling in peripheral tissues by a cell-non-autonomous mechanism. Consistent with recent work in the worm, these results suggest that insulin/IGF signaling itself may mediate communication among various tissues to influence organismal longevity.     

The Role of Perceived Control and Overconfidence in Pathological Gambling

Two studies sought to determine whether perceived control has different effects on confidence assessment and betting decisions among pathological and problem gamblers than among non-problem gamblers. In Study 1, 200 college students who were frequent gamblers (80 female and 120 male, median age 20) completed the South Oaks Gambling Screen (SOGS) and then engaged in a task in which they answered questions, assessed confidence in each answer, and considered bets on their answers that were fair if they were well-calibrated, but unfavorable if they were overconfident. Probable pathological and problem gamblers earned significantly fewer points than non-problem gamblers. This was due to greater overconfidence among pathological and problem gamblers, which led to systematically less favorable bets. In Study 2, using 384 participants (105 female and 279 male, median age 20), control was independently manipulated and bets were constructed to make point value independent of overconfidence. Problem and pathological gamblers showed both greater overconfidence and greater bet acceptance. They were less affected by control in their betting decisions than non-problem gamblers, but more affected in the slope of their betting function. It is concluded that pathological and problem gamblers process information about confidence and control differently from non-problem gamblers.