Mass-mediated surveillance: borders,mobility, and reality television

This article analyzes the social construction of border surveillance and policing in reality-based television. Utilizing content analytic methods to document and decode popular images of borders, mobility, and insecurity, it assesses three programs from Australia, the UK, and the United States. Despite claims of offering accurate and unfiltered depictions, the programs are ideological and provide visions of enforcement that reinforce stereotypes regarding the risks of permeable borders and exonerate intensive regimes of surveillance and securitization. Our findings suggest this occurs in three ways. First, the programs inflate the extent and seriousness of lawlessness associated with cross-border movement. Second, they offer individualistic explanations of crime that cite personal choices and pathologies as determinants. Finally, alongside neglecting their perspectives and interpretations of events, when compared to the reality of official statistics, the programs disproportionately feature suspected offenders as members of marginalized groups. The social and political implications of these findings are discussed.     

Bayesian inference for the parameters of Weibull distribution under progressive Type-I interval censored data with beta-binomial removals

This article considers the problem of estimating the parameters of Weibull distribution under progressive Type-I interval censoring scheme with beta-binomial removals. Classical as well as the Bayesian procedures for the estimation of unknown model parameters have been developed. The Bayes estimators are obtained under SELF and GELF using MCMC technique. The performance of the estimators, has been discussed in terms of their MSEs. Further, expression for the expected number of total failures has been obtained. A real dataset of the survival times for patients with plasma cell myeloma is used to illustrate the suitability of the proposed methodology.     

Optimal and lead-in adaptive allocation for binary outcomes: A comparison of Bayesian methods

We compare posterior and predictive estimators and probabilities in response-adaptive randomization designs for two- and three-group clinical trials with binary outcomes. Adaptation based upon posterior estimates are discussed, as are two predictive probability algorithms: one using the traditional definition, the other using a skeptical distribution. Optimal and natural lead-in designs are covered. Simulation studies show that efficacy comparisons lead to more adaptation than center comparisons, though at some power loss, skeptically predictive efficacy comparisons and natural lead-in approaches lead to less adaptation but offer reduced allocation variability. Though nuanced, these results help clarify the power-adaptation trade-off in adaptive randomization.     

The ‘digital glimpse’ as imagining home

This paper proposes the concept of the ‘digital glimpse’, which develops the existing framing of imaginative travel. Here it articulates the experiences of mobile workers digitally connecting into family life and everyday rituals when physically absent with work. The recent embedding of digital communication technologies into personal relationships and family life is reconfiguring how absence is experienced and practiced by workers on the move, and through this, new digital paradigms for life on-the-move are emerging. This paper explores how such social relationships are maintained at-a-distance through digital technology – using evidence from qualitative interviews with mobile workers and their families. Digital technology now enables expressive forms of ‘virtual travel’, including video calling, picture sharing, and instant messaging. This has implications for the ways in which families can manage the social and relational pressures of being apart. Experiences of imaginative travel created through novel media can enrich the experience and give a greater sense of connection for both those who are at home and those who are away. While technology is limited in its ability to replicate a sense of co-presence, ‘digital glimpses’ are an emergent set of sociotechnical practices that can reduce the negative impact of absence on family relationships.     

Validation of the Australian Midwifery Standards Assessment Tool (AMSAT): A tool to assess midwifery competence

Background

There is no current validated clinical assessment tool to measure the attainment of midwifery student competence in the midwifery practice setting. The lack of a valid assessment tool has led to a proliferation of tools and inconsistency in assessment of, and feedback on student learning.

Deliberate acquisition of competence in physiological breech birth: A grounded theory study

Problem

Research suggests that the skill and experience of the attendant significantly affect the outcomes of vaginal breech births, yet practitioner experience levels are minimal within many contemporary maternity care systems.

Observational practice in virtual worlds: revisiting and expanding the methodological discussion

Virtual worlds, such as World of Warcraft and Second Life, have seen remarkable mainstream uptake in the last decade. Such environments have grown from hosting niche interest groups to providing sites for leisure, business and education for tens of millions of Internet users. Concurrently, a multi-disciplinary research field exploring the application of such spaces has emerged. This article examines in detail one data collection practice – observation in virtual worlds – that has been applied extensively, but without extensive methodological discussion. By revisiting and extending earlier work on this topic, the article presents four key considerations for those conducting observational research in virtual worlds: defining and delimiting field sites, discerning attention, charting actions and attributing intention. It is concluded that researchers must both ward against flawed assumptions about virtual world observation and consider multi-method strategies to overcome limitations in observational data.