Transition to Parenthood: The Role of Social Interaction and Endogenous Networks

Empirical studies indicate that the transition to parenthood is influenced by an individual’s peer group. To study the mechanisms creating interdependencies across individuals’ transition to parenthood and its timing, we apply an agent-based simulation model. We build a one-sex model and provide agents with three different characteristics: age, intended education, and parity. Agents endogenously form their network based on social closeness. Network members may then influence the agents’ transition to higher parity levels. Our numerical simulations indicate that accounting for social interactions can explain the shift of first-birth probabilities in Austria during the period 1984 to 2004. Moreover, we apply our model to forecast age-specific fertility rates up to 2016.     

Change in the Association Between Premarital Cohabitation and Separation,Australia 1945 – 2000

We investigate change in the association between premarital cohabitation and the risk of separation. Using retrospective marriage history data from the first wave (2001) of the Household Income and Labor Dynamics in Australian survey, we examine 6,210 first marriages formed between 1945 and 2000. We find the association between premarital cohabitation and separation is changing. The increased risk of separation for cohabitors compared to noncohabitors diminishes each year for marriages before 1988. This association then reverses for marriages after 1988, where noncohabitors have an increased risk of separation. Our results indicate that, for more recent marriages, premarital cohabitation reduces the risk of separation; more research is needed to understand the underlying mechanisms for this reversal.     

The gift of speech: why parents implant their children

In Australia cochlear implantation of profoundly deaf infants, babies, and young children is approaching 100% saturation. Why do parents choose to implant rather than learn Auslan? What is the Deaf community’s reaction to this and how will it change Sign as a living language? In this article, the author is a Deaf parent who chose to implant her Deaf child. When she initially published in a news outlet on this topic the reaction was quite heated: how terrible a parent you must be if you are denying your child Sign! This article explains the reasoning behind that decision to implant, taking issue with the notion that giving a child an ‘extra ability’ of speech means that you do not love them as they are. Nothing is natural, but everything is acquired or augmented – in all children.     

Renaissance Body Matters: Judith Butler and the Sex That Is One

This essay explores the impact of Judith Butler's work on the study of gender in Renaissance England. Theatre, in particular, has proved a productive site for New Historicist readers of the Renaissance in recent years. It has been argued that Renaissance theatre, and its opponents, called attention to the possibility that gender was a performative, rather than ontological state. This has been further influenced by Thomas Laqueur's formulation of the one-sex body. Feminist critics, however, have also pointed out other cultural sites where the reverse occurs: where gender is both naturalized and binary. Taking female witches as an example, this essay explores the possible readings opened up by Judith Butler's observations about the performativity of gender, particularly in terms of the framework for thinking about Renaissance practices of theatricality and cross-dressing, which can be drawn from Butler's Gender Trouble, and the framework, offered by her Bodies that Matter, for problematising those notions and, potentially, for negotiating the relationship between performativity and constraint in Renaissance models of gender.     

Examining the Role of Race,NIMBY, and Local Politics in FEMA Trailer Park Placement*

Objective. In this article, we use the placement of Federal Emergency Management Agency (FEMA) trailer parks as a vehicle for examining how siting agents and approving agents factor race, NIMBY obstacles, and local politics into the overall approval process for projects that are viewed as undesirable. Methods. Using data on where FEMA trailer parks were proposed and approved in South Louisiana after Hurricanes Katrina and Rita, we test a range of hypotheses about the determinants of temporary housing siting. Results. Our results reveal the need to view the consideration of potential locations and the procedure of gaining approval as two distinct stages of a process. The findings suggest FEMA placed a great deal of emphasis on displaced residents' needs, but neglected to factor in the constituent pressures and the electoral calendar that local politicians would encounter when approving the site. In addition, the racial composition of a neighborhood had a substantial effect on both the consideration and approval stages. Conclusions. Beyond need, politics and race can shape the governmental allocation of disaster relief solutions.     

Transition From Welfare to Work: Self-Esteem and Self-Efficacy Influence on the Employment Outcome of African American Women

Empirical strength-based research focusing exclusively on African American female welfare recipients and employment outcome is limited. This study examined whether self-esteem and self-efficacy influenced the employment of African American female welfare recipients. Findings indicated that recipients entered the job-readiness program with a significantly high level of self-esteem. Their self-efficacy, however, was positively influenced by the job-readiness program, and once it was completed, the recipient's self-efficacy decreased.     

Till Death Us Do Part? A Critical Analysis of Obligation and Choice for Spousal Caregivers

Research demonstrates a significant number of carers identify obligation or lack of other alternatives as the reasons they undertake informal care. By utilizing critical discourse analysis, this research explores choice for informal caregivers in contemporary Australian social policy. Analysis demonstrates increasing shifts in policy toward choice in consumer-directed care, a feature absent for those who provide care. Familial care is a central pillar of Australian social policy, as it is in many liberal and conservative welfare regimes. Analysis reveals that these core social policies are fundamentally incongruent, with significant implications for individuals and social work practice.     

Antenatal group care in a Midwifery Group Practice—A midwife’ perspective

The following article describes a midwife's experience in the adaption of the CenteringPregnancy model into her own group practice to provide education and support to the women in her care. Using personal experience and feedback from women and midwifery students the author describes not only the process of group care in her work context but the apparent benefits to women, families’, midwifery students and herself. Antenatal group care was so successful for the author that it extended to postnatal group care and student group care, all well attended and sought after groups. This is an exciting and innovative way to provide care for women and families and the author encourages other midwives and group practices to consider how they can adapt and progress similar group care into their own practice.     

Bayesian Additive Regression Trees using Bayesian model averaging

Bayesian Additive Regression Trees (BART) is a statistical sum of trees model. It can be considered a Bayesian version of machine learning tree ensemble methods where the individual trees are the base learners. However, for datasets where the number of variables p is large the algorithm can become inefficient and computationally expensive. Another method which is popular for high-dimensional data is random forests, a machine learning algorithm which grows trees using a greedy search for the best split points. However, its default implementation does not produce probabilistic estimates or predictions. We propose an alternative fitting algorithm for BART called BART-BMA, which uses Bayesian model averaging and a greedy search algorithm to obtain a posterior distribution more efficiently than BART for datasets with large p. BART-BMA incorporates elements of both BART and random forests to offer a model-based algorithm which can deal with high-dimensional data. We have found that BART-BMA can be run in a reasonable time on a standard laptop for the “small n large p” scenario which is common in many areas of bioinformatics. We showcase this method using simulated data and data from two real proteomic experiments, one to distinguish between patients with cardiovascular disease and controls and another to classify aggressive from non-aggressive prostate cancer. We compare our results to their main competitors. Open source code written in R and Rcpp to run BART-BMA can be found at: https://github.com/BelindaHernandez/BART-BMA.git.