Hashtagging girlhood: #IAmMalala, #BringBackOurGirls and gendering representations of global politics

This article explores how gendered, racial and youth-ed concepts of girlhood shape the way conflict, violence and the lived experiences of girls in conflict-affected environments are understood globally. In particular, it examines the broader context and effect of social media campaigns that specifically invoke a concept of “girlhood” in their responses to crisis or tragedy. It focuses on two hashtags and their associated social media campaigns: #IAmMalala, started in response to the attempted killing of Pakistani education activist Malala Yousafzai in 2012 by Taliban gunmen, and #BringBackOurGirls, started by Nigerians and adopted globally in response to the kidnapping of 276 schoolgirls by terrorist group Boko Haram. In both instances, understandings of the broader political context are shaped by the focus on girls. Both hashtags also appropriate an experience: claiming to be Malala and claiming the Nigerian girls as ours. Through this exploration, I argue that particular ideals of girlhood are coded within these campaigns, and that these girls’ experiences are appropriated. I critique the limited representations of girlhood that circulate in these discussions, and how these limited representations demonstrate the problematic narrowness of dominant conceptions of girlhood.     

The effects of traditional news,partisan talk,and political satire programs on perceptions of presidential candidate viability and electability

This study examines how exposure to network news, partisan opinion talk, and political satire programs during the 2012 Iowa presidential caucuses affected viewers’ perceptions of candidate viability (likelihood of capturing the party nomination) and electability (likelihood of winning the general election). Programs representing these genres—ABC World News, Fox News’s Hannity, and The Daily Show with Jon Stewart—all framed the same candidate as the front-runner for the nomination, though each framed this candidate’s general election prospects in distinctive ways. A randomized field experiment assigned respondents to view one (or none) of the three programs as they aired. Assessments of the front-runner were significantly shaped by assignment to view television coverage, hence demonstrating the potential importance of all three media genres for the presidential nomination process.     

Muslim Mistrust: The Resilience of Negative Public Attitudes after Complimentary Information

Muslims have arguably been the most consistently demonized group in American politics of the past decade, factoring heavily in Republican presidential and congressional politics since 2002. Opinions about Muslims have split the American electorate, and we investigate why. Our explanation focuses on interlocking institutions—party, religion, and media—in encouraging beliefs about American Muslims that prove intransigent. Using data from three nationally representative surveys, including a survey embedded experiment, we examine the correlates of anti-Muslim beliefs. Our analysis finds that ceiling effects in the correlates of holding anti-Muslim attitudes and subject trust in Fox News Channel encourage a negative reaction to information that might repair public opinion about American Muslims.     

World Class Manufacturing: Further Evidence in the Lean Production Debate1

This paper reports the results of a study into the performance and management practices of 18 autocomponents plants, nine of which were located in the UK and nine in Japan. The study compared the performance of these plants and used quantitative measures to test the use of lean production techniques among the high performers. Five plants displayed high performance on measures of both productivity and quality. All of these were located in Japan. Several measures of management practice provided some support for the lean production model, particularly in the area of process discipline and control; measures of human resource management policy and work organization proved less significant. Contextual factors pointed to the conditions necessary to support lean production; higher performing plants had more stable demand and lower absenteeism.     

Local and marginal control charts applied to methicillin resistant Staphylococcus aureus bacteraemia reports in UK acute National Health Service trusts

Summary.  We consider the general problem of simultaneously monitoring multiple series of counts, applied in this case to methicillin resistant Staphylococcus aureus (MRSA) reports in 173 UK National Health Service acute trusts. Both within-trust changes from baseline ('local monitors') and overall divergence from the bulk of trusts ('relative monitors') are considered. After standardizing for type of trust and overall trend, a transformation to approximate normality is adopted and empirical Bayes shrinkage methods are used for estimating an appropriate baseline for each trust. Shewhart, exponentially weighted moving average and cumulative sum charts are then set up for both local and relative monitors: the current state of each is summarized by a p -value, which is processed by a signalling procedure that controls the false discovery rate. The performance of these methods is illustrated by using 4.5 years of MRSA data, and the appropriate use of such methods in practice is discussed.     

A bivariate F distribution with marginals on arbitrary numerator and denominator degrees of freedom, and related bivariate beta and t distributions

The classical bivariate F distribution arises from ratios of chi-squared random variables with common denominators. A consequent disadvantage is that its univariate F marginal distributions have one degree of freedom parameter in common. In this paper, we add a further independent chi-squared random variable to the denominator of one of the ratios and explore the extended bivariate F distribution, with marginals on arbitrary degrees of freedom, that results. Transformations linking F, beta and skew t distributions are then applied componentwise to produce bivariate beta and skew t distributions which also afford marginal (beta and skew t) distributions with arbitrary parameter values. We explore a variety of properties of these distributions and give an example of a potential application of the bivariate beta distribution in Bayesian analysis.