Segregation in social networks based on acquaintanceship and trust

Using 2006 General Social Survey data, the authors compare levels of segregation by race and along other dimensions of potential social cleavage in the contemporary United States. Americans are not as isolated as the most extreme recent estimates suggest. However, hopes that "bridging" social capital is more common in broader acquaintanceship networks than in core networks are not supported. Instead, the entire acquaintanceship network is perceived by Americans to be about as segregated as the much smaller network of close ties. People do not always know the religiosity, political ideology, family behaviors, or socioeconomic status of their acquaintances, but perceived social divisions on these dimensions are high, sometimes rivaling racial segregation in acquaintanceship networks. The major challenge to social integration today comes from the tendency of many Americans to isolate themselves from others who differ on race, political ideology, level of religiosity, and other salient aspects of social identity.     

Probabilistic feature analysis of facial perception of emotions

Summary.  According to the hypothesis of configural encoding, the spatial relationships between the parts of the face function as an additional source of information in the facial perception of emotions. The paper analyses experimental data on the perception of emotion to investigate whether there is evidence for configural encoding in the processing of facial expressions. It is argued that analysis with a probabilistic feature model has several advantages that are not implied by, for example, a generalized linear modelling approach. First, the probabilistic feature model allows us to extract empirically the facial features that are relevant in processing the face, rather than focusing on the features that were manipulated in the experiment. Second, the probabilistic feature model allows a direct test of the hypothesis of configural encoding as it explicitly formalizes a mechanism for the way in which information about separate facial features is combined in processing the face. Third, the model allows us to account for a complex data structure while still yielding parameters that have a straightforward interpretation.     

Increasing User Choice or Privatizing Risk? The Antinomies of Personalization

Within a very short space of time, the concept of personalizationhas come to occupy a central place within dominant social workand adult care discourses within the UK. Through an analysisof one influential model of personalization, this paper willexplore the factors behind the concept’s current popularity.I shall argue that this popularity is due primarily to its congruencewith key themes of New Labour thought, including individualization,responsibilization and the transfer of risk from the state tothe individual. I shall conclude that, given its acceptanceof the marketization of social work and social care, its neglectof issues of poverty and inequality, its flawed conception ofthe people who use social work services, its potentially stigmatizingview of welfare dependency and its potential for promoting,rather than challenging, the deprofessionalization of socialwork, the philosophy of personalization is not one that socialworkers should accept uncritically.     

Even More Direct Calculation of the Variance of a Maximum Penalized-Likelihood Estimator

We discuss here two examples of estimation by numerical maximization of penalized likelihood. We show that, in these examples, it is simpler not to use the EM algorithm for computation of the estimates or their standard errors. We discuss also confidence and credibility intervals based on penalized likelihood and a chi-squared approximate distribution, and compare such intervals with intervals of Wald type.

[Received July 2014. Revised September 2015.]     

Assessing adult attention deficit hyperactivity disorder (ADHD) in the university setting

Objective: To address the increasing demand for assessments of Adult Attention Deficit Hyperactivity Disorder (ADHD), the primary author developed a protocol for Counseling and Psychological Services (CAPS) at Stanford University's Vaden Student Health Center to improve the efficiency of such evaluations. Participants: As part of quality assurance, we reviewed the charts of Stanford students who sought assessment for ADHD before the protocol was implemented (September 2011–June 2013) and after the protocol was established (October 2013–August 2014). An IRB exemption was obtained. Methods: The protocol includes questionnaires that solicit detailed clinical information from a variety of sources prior to the student's initial visit. Results: A peer chart review of 35 randomly selected charts showed that students completing the protocol are receiving a more thorough assessment. Conclusion: The new Stanford ADHD protocol, designed to improve clinic efficiency, also increases the availability of relevant clinical information.     

Bridges between deterministic and probabilistic models for binary data

For the analysis of binary data, various deterministic models have been proposed, which are generally simpler to fit and easier to understand than probabilistic models. We claim that corresponding to any deterministic model is an implicit stochastic model in which the deterministic model fits imperfectly, with errors occurring at random. In the context of binary data, we consider a model in which the probability of error depends on the model prediction. We show how to fit this model using a stochastic modification of deterministic optimization schemes.The advantages of fitting the stochastic model explicitly (rather than implicitly, by simply fitting a deterministic model and accepting the occurrence of errors) include quantification of uncertainty in the deterministic model’s parameter estimates, better estimation of the true model error rate, and the ability to check the fit of the model nontrivially. We illustrate this with a simple theoretical example of item response data and with empirical examples from archeology and the psychology of choice.     

Beyond Power Discourse: Alienation and Social Work

Correspondence to Michael Lavalette, Department of Sociology, Social Policy and Social Work Studies, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool. E-mail: M.Lavalette{at}Liverpool.ac.uk Summary This paper argues for the relevance of the Marxist concept ofalienation to the development of an emancipatory social workpractice. As the concept has often been misinterpreted withinthe social work literature to refer primarily to a psychologicalstate, the first part of the paper seeks to establish the materialbasis of the theory as developed by Marx, and identifies fourkey aspects of alienation—from the product of labour,from the labour process, from our ‘human nature’and from our fellow human beings. Alienation theory is thenapplied to the experience of both social workers and serviceusers and it is argued that the notions of loss of control (inthe case of social workers) and powerlessness (in the case ofservice users) have greater explanatory power, and provide afirmer basis for a radical practice, than currently fashionablepower discourses, derived from postructuralism, which oftenmirror the individualism of the New Right approaches they seekto challenge. Finally, examples are given of the ways in whichthe concept of alienation might contribute towards the developmentof a new, emancipatory social work, central to which is likelyto be the development of more collective approaches.