Maternal Differential Treatment and Child Adjustment: A Multi-informant Approach

The study aimed to replicate previous links with children's adjustment as well as using children's reports of maternal differential treatment (MDT) to test whether difference scores or favouritism scores demonstrate stronger links with child outcome. Finally, it tested for a unique prediction of children's adjustment from distinct aspects and informants of MDT. The sample consisted of 173 working- and middle-class English families with two children aged four to eight years. Mothers provided reports of the mother–child relationship, and both mothers and fathers provided reports of the children's problematic behaviour. The children also provided reports of parent–child relationships and perceived favouritism via a puppet interview. Results confirmed moderate links between MDT and children's adjustment and showed that difference scores provided a better prediction of adjustment than did the favouritism scores. Finally, the results showed that mothers' reports of differential positive feelings were the most salient aspect of MDT for older siblings whereas mothers' reports of negative feelings and positive discipline were the most salient aspects of MDT for younger siblings.     

The Influence of Biostatistics at the National Heart,Lung, and Blood Institute

Since the early 1950s, the National Heart, Lung, and Blood Institute (NHBLI) has conducted a long series of influential randomized clinical trials in heart, lung, and blood diseases. The biostatisticians at the Institute have been central to the design, conduct, monitoring, and final analyses of these trials. The uniquely favorable deck of cards the group of biostatisticians at the Institute has been dealt over the six and half decades of the group's life has led to contributions that have had a major impact on the fields of biostatistics and clinical trials. The leaders of the NHLBI and its several Divisions have valued the independence, creativity, and collaborative interactions of statisticians within the Institute. The medical problems the Institute faced impelled the statisticians to develop methodology that would address questions of great public importance. Perhaps most importantly, the individual members of the group had a collective vision passed from member to member over time that new methodology must fit the questions being asked. The group has always had the technical ability to develop new methods and the conviction that they were responsible for ensuring that they could explain their methods to the clinicians with whom they worked.     

Automation: is it really different this time?

This review examines several recent books that deal with the impact of automation and robotics on the future of jobs. Most books in this genre predict that the current phase of digital technology will create massive job loss in an unprecedented way, that is, that this wave of automation is different from previous waves. Uniquely digital technology is said to automate professional occupations for the first time. This review critically examines these claims, puncturing some of the hyperbole about automation, robotics and Artificial Intelligence. The review argues for a more nuanced analysis of the politics of technology and provides some critical distance on Silicon Valley's futurist discourse. Only by insisting that futures are always social can public bodies, rather than autonomous markets and endogenous technologies, become central to disentangling, debating and delivering those futures.     

The education of children in care and children in need: Who falls behind and when?

We seek to explain the development of the educational gap between children in “out‐of‐home care” (CLA), children deemed in social need (CIN), and other pupils. A cohort of 642,805 pupils aged 16 in 2013 was used to chart the educational progress of the full cohort, the CLA (n = 6,236), the CIN in 2012 or 2013 but not CLA (n = 20,384), and a sample individually matched with the CLA (n = 11,084). At age 7, attainment of the CLA and CIN was approximately 1 standard deviation lower than the cohort average and predicted attainment at 16. At this point, the persistent “CIN” (those with earlier and persistent needs) had the lowest attainment relative to others, and this declined further during secondary school. Those entering care before or during primary school had very low attainment at age 7, but their relative attainment did not decline. Attainment of CLA and CIN at age 16 likely reflects early environment, special educational needs, and poor relationships with secondary school. Policy, research, and intervention should focus on CIN as well as CLA, do so before entry to care, and take account of the onset of, and probable reasons for, educational difficulties.     

Interpretative accounts of work capacity assessment policy for young adults with disabilities

Young adults with disabilities are a specific target of the welfare-to-work policy introduced by many OECD countries over the past decade. The implementation of these policies is a significant concern for service delivery organisations and advocates in Australia and internationally due to complex intersecting structural barriers that persist for many young adults with disabilities. A particular focus of this article is work capacity assessments. Drawing on socio-political theories and interpretive policy analysis, the 22 in-depth interviews with personnel from service delivery organisations and advocacy organisations reveal how the deemed capacity to work process is not only interpreted as flawed, but the current policy approach disables young adults, perpetuates stigma, and creates division between service users and service providers. The accounts reinforce the need to contest such assessments and instead turn towards a rights-based capability approach permitting young adults with disability self-determination over their education-to-employment pathway.