Assessment and Intervention with Black-White Multiracial Couples

SUMMARY

Effective therapy with Black-White multiracial couples begins with therapist work on self attitudes and with sensitive assessment of the ways racism and race may or may not be connected to a couple's problems. We suggest ways to begin to explore self attitudes and suggest basic assessment questions for work with Black-White couples. In addition, we point out important clinical issues that may come up for Black-White couples in the areas of social support/social network, parenting, and grief.     

Mechanisms Controlling Head Stabilization in the Elderly During Random Rotations in the Vertical Plane

Frequency-related response characteristics of the mechanisms controlling stabilization of the head in 10 elderly subjects were compared with response characteristics in 8 young adults. Angular velocity of the head with respect to the trunk and EMG responses of 2 neck muscles were recorded in 10 seated subjects during pseudorandom rotations of the trunk in the sagittal plane at frequencies of 0.35 to 3.05 Hz. Subjects were required to actively stabilize their heads with (VS) and without (NV) visual feedback so that voluntary mechanisms and the influence of vision could be tested. Reflex mechanisms were examined when subjects were distracted by a mental calculation task during rotations in the dark (MA). Age emerged as an influential factor in the performance of head stabilization mechanisms, and decrements in performance were even more pronounced in the older as compared with younger elderly subjects. Age effects could be seen in the (a) diminished ability to voluntarily stabilize the head, particularly with the absence of vision, (b) impaired ability to stabilize the head when cognitively distracted, and (c) appearance of a resonant response of the head. Control of head stabilization shifted from reflex mechanisms to system mechanics, probably as a result of age-related changes in the integrity of the sensory systems. The elderly's system mechanics could not effectively compensate for the disturbances, however, and instability was the result.     

On the value of genealogy,materiality, and networks: a response

In response to the challenges posed by Steven Engler, Martha Finch, Mark Gardiner, Laura Harrington, Paul Johnson, and Michael Stausberg, this essay fleshes out key terms in More than Belief (2011), including genealogy, materialism, non-reductionism, and networks, showing their value in researching and theorizing about religion.     

Concentric circles of containment: a psychodynamic contribution to working in pupil referral units

This article aims to reflect on the lessons learnt from using a psychodynamic approach to offering onsite therapeutic child and adolescent mental health services (CAMHS) in four pupil referral units (henceforth referred to as PRUs). The PRUs cater for six- to 16-year-old children and adolescents permanently excluded from mainstream schools. The work takes place in an inner London borough. The approach described evolved over five years through practice-based evidence of what worked well in each particular setting. This was viewed both in terms of sustaining families' engagement in the therapeutic process, and also effectively supporting child and adolescent mental health services and education staff in their respective tasks. The model which gradually evolved owes much to Bion's concept of containment as the necessary foundation for emotional growth and genuine learning. It also draws on ideas from psychoanalytic consultation and open systems theory. The importance of work discussion groups in this setting will also be evident. Some links are made to relevant Buddhist concepts and metaphors.     

Preventing Intimate Partner Violence

ABSTRACT

Bringing together the energy, resources, creativity, and good will of citizens enhances community resilience. The shared responsibility and collective competence that emerge from community members banding together can be a powerful and ongoing positive influence on the quality of community life, including the relationships between intimate partners. We explore the importance that the community has for preventing intimate partner violence (IPV). We argue for active, network-oriented prevention efforts. We discuss key community principles and concepts (including a definition of the nature of community), explore a social organization perspective on communities, and present a theoretical approach to building community capacity. We posit implications for program development that include community as a place for prevention, a target for prevention, and as a force for prevention. Our implications for research include examining multiple community layers, the nexus of informal and formal social care systems, and contrasting extreme groups on pivotal social organization processes.     

The use of artificial neural networks and multiple linear regression in modelling work–health relationships: Translating theory into analytical practice

Although psychological theory acknowledges the existence of complex systems and the importance of nonlinear effects, linear statistical models have been traditionally used to examine relationships between environmental stimuli and outcomes. The way we analyse these relationships does not seem to reflect the way we conceptualize them. The present study investigated the application of connectionism (artificial neural networks) to modelling the relationships between work characteristics and employee health by comparing it with a more conventional statistical linear approach (multiple linear regression) on a sample of 1003 individuals in employment. Comparisons of performance metrics indicated differences in model fit, with neural networks to some extent outperforming the linear regression models, such that R ² for worn-out and job satisfaction were significantly higher in the neural networks. Most importantly, comparisons revealed that the predictors in the two approaches differed in their relative importance for predicting outcomes. The improvement is attributed to the ability of the neural networks to model complex nonlinear relationships. Being unconstrained by assumptions of linearity, they can provide a better approximation of such psychosocial phenomena. Nonlinear approaches are often better fitted for purpose, as they conform to the need for correspondence between theory, method, and data.     

Extended network learning error: A new way of conceptualising chronic fatigue syndrome

Abstract

The cause of chronic fatigue syndrome (CFS) is controversial: psychological, hypothalamic and immune mechanisms have been proposed as well as the possibility of some form of interaction between these mechanisms. Patients' own conceptual models vary and sometimes adversely affect self-management. This paper suggests an interactional way of conceptualising CFS using developments in complexity theory (networks, parallel processing or connectionism). I propose that the neurological, immune and endocrine systems are pan of a single, self-regulatory, extended brain-body network. Furthermore, that CFS is caused by self-organisational change in this extended network created by normally adaptive error-sensitive learning rules that malfunction when physiological and psychological challenges coincide. This psychoneuroimniunoendocrinological model shows how previously proposed mechanisms could interact to cause CFS. explains the heterogeneity of the presentation of the disease, and provides a conceptual model that may be acceptable to patients but is also consistent with effective self-management.     

Words and possible words in early language acquisition

In order to acquire language, infants must extract its building blocks—words—and master the rules governing their legal combinations from speech. These two problems are not independent, however: words also have internal structure. Thus, infants must extract two kinds of information from the same speech input. They must find the actual words of their language. Furthermore, they must identify its possible words, that is, the sequences of sounds that, being morphologically well formed, could be words. Here, we show that infants’ sensitivity to possible words appears to be more primitive and fundamental than their ability to find actual words. We expose 12- and 18-month-old infants to an artificial language containing a conflict between statistically coherent and structurally coherent items. We show that 18-month-olds can extract possible words when the familiarization stream contains marks of segmentation, but cannot do so when the stream is continuous. Yet, they can find actual words from a continuous stream by computing statistical relationships among syllables. By contrast, 12-month-olds can find possible words when familiarized with a segmented stream, but seem unable to extract statistically coherent items from a continuous stream that contains minimal conflicts between statistical and structural information. These results suggest that sensitivity to word structure is in place earlier than the ability to analyze distributional information. The ability to compute nontrivial statistical relationships becomes fully effective relatively late in development, when infants have already acquired a considerable amount of linguistic knowledge. Thus, mechanisms for structure extraction that do not rely on extensive sampling of the input are likely to have a much larger role in language acquisition than general-purpose statistical abilities.