Narrative Solutions: Using Preferred View of Self to Motivate Individual and Family Change

This article describes refinements of the Narrative Solutions approach to individual and family therapy we first presented in Family Process 22 years ago. The centerpiece of this integrative (narrative‐strategic) model is “preferred view of self,” or the constellation of qualities people would like to see in themselves and have others see in them. We assume that problems generally involve one or more people mismanaging discrepancies or “gaps” between preferred views of self and either their actual behavior or how they see others seeing them and their behavior. Because clients are motivated to resolve such discrepancies, we use specifiable conversational strategies to help people (a) be clear about their preferred view of self, (b) notice gaps or discrepancies, and (c) summon resources to manage these gaps more effectively. Positive clinical effects of these strategic conversations can be rapid and dramatic. Case examples highlight applications to child and family problems, and we discuss some challenges and future directions for the Narrative Solutions approach.     

Crises Now and Then—Comparing Integration Policy Frameworks and Immigrant Target Groups in Denmark in the 1970s and 2000s

This article investigates the impact of economic crises in the early 1970s and 2000s on integration policy frames in Denmark. By the means of a comparative case study of “guest workers” in the 1960s/1970s and labor migrants in 2000s, we identify changes in discourses and policy frames brought on by economic crisis. In the article, we explore policy transformations relating to integration in the light of periods economic upturns and downturns. We analyze and compare the development of policy frames and policy content before, during and after the crises and thereby seek to answer how economic contours affect not only policy-making processes and content but also the social construction of target groups. The fact that Denmark did not have an official policy on integration of the guest workers in the 1960s and 1970s created a different point of departure than in the 2000s where the experience with and policy on integration of immigrant is much more developed. It is therefore also rather striking that many of the mistakes made during the 1960s and 1970s seems to be repeated in the 2000s. The situation of economic upturn and envision of the migration being temporary did, in both cases, lead to little emphasis on integration up until the point of crisis. In the analysis, we find that issues such as religious background, cultural characteristics, and educational levels, position on labor market, language proficiency, housing, and mobility which all pertain to integration are given less attention in times of economic upturn.     

Composite Trauma and Mental Health Diagnosis as Predictors of Lifetime Nonsuicidal Self-Injury History in an Adult Online Sample

Some research indicates that trauma history might be related to nonsuicidal self-injury (NSSI), but the exact nature of this relationship is unknown. Therefore, we created and tested a structural equation model for the relationships between composite trauma, NSSI, mental health diagnosis, and gender in a community sample of 296 U.S. adults recruited through Amazon Mechanical Turk. Composite trauma and mental health diagnosis were significantly predictive of an NSSI history. The pathway between NSSI and gender was not significant. It is important to consider multiple domains of trauma, in the form of composite lifetime trauma, as risk factors for NSSI.     

The failing measurement of attitudes: How semantic determinants of individual survey responses come to replace measures of attitude strength

The traditional understanding of data from Likert scales is that the quantifications involved result from measures of attitude strength. Applying a recently proposed semantic theory of survey response, we claim that survey responses tap two different sources: a mixture of attitudes plus the semantic structure of the survey. Exploring the degree to which individual responses are influenced by semantics, we hypothesized that in many cases, information about attitude strength is actually filtered out as noise in the commonly used correlation matrix. We developed a procedure to separate the semantic influence from attitude strength in individual response patterns, and compared these results to, respectively, the observed sample correlation matrices and the semantic similarity structures arising from text analysis algorithms. This was done with four datasets, comprising a total of 7,787 subjects and 27,461,502 observed item pair responses. As we argued, attitude strength seemed to account for much information about the individual respondents. However, this information did not seem to carry over into the observed sample correlation matrices, which instead converged around the semantic structures offered by the survey items. This is potentially disturbing for the traditional understanding of what survey data represent. We argue that this approach contributes to a better understanding of the cognitive processes involved in survey responses. In turn, this could help us make better use of the data that such methods provide.     

Concrete spatial language: see what I mean?

Conveying complex mental scenarios is at the heart of human language. Advances in cognitive linguistics suggest this is mediated by an ability to activate cognitive systems involved in non-linguistic processing of spatial information. In this fMRI-study, we compare sentences with a concrete spatial meaning to sentences with an abstract meaning. Using this contrast, we demonstrate that sentence meaning involving motion in a concrete topographical context, whether linked to animate or inanimate subjects nouns, yield more activation in a bilateral posterior network, including fusiform/parahippocampal, and retrosplenial regions, and the temporal-occipital-parietal junction. These areas have previously been shown to be involved in mental navigation and spatial memory tasks. Sentences with an abstract setting activate an extended largely left-lateralised network in the anterior temporal, and inferior and superior prefrontal cortices, previously found activated by comprehension of complex semantics such as narratives. These findings support a model of language, where the understanding of spatial semantic content emerges from the recruitment of brain regions involved in non-linguistic spatial processing.     

Visual processing of coherent rotation in the central visual field: an fMRI study

Functional magnetic resonance imaging was used to determine the brain areas that process coherent motion. To reduce the activity related to eye-movement planning and self-motion perception, rotation was used as coherent motion and the stimulus was restricted to the central visual field. Coherent rotation relative to incoherent random-dot motion resulted in consistent activation in the superior parietal lobule (SPL), in the lateral occipital gyrus (presumptive kinetic occipital region, KO), and in the fusiform gyrus (FG). The main novel finding in present study is the bilateral SPL activation, which has not been found in any previous study contrasting coherent and incoherent motion. It is suggested that the SPL activation is related to form-from-motion processing. The stimulus modification that prevented abrupt appearances of dots at the borders of the stimulus field increased the strength of rolling disk-like percept of the coherent stimulus. This perception of form may also be at least partly responsible for the activation in KO and FG. With this explanation, our three consistent activation areas are in line with previous findings. Furthermore, these results demonstrate that even delicate changes in some stimulus aspects can lead to significant changes in the activation of the brain.     

Creating an Evangelical self: an analysis of narratives of conversion to Evangelicalism in post-Soviet St Petersburg

In this article I analyse the narratives of conversion to Evangelical churches in St Petersburg by inquiring how Russians engage with the Evangelical churches and how they construct a meaningful conversion identity. My analysis shows how the social and political changes of post-Soviet Russia are experienced in religious terms and whether they have social implications that are reflected in identity-building as both Russian and Evangelical. Individual identity always reflects time and place, and the social and societal context in which an individual lives. Through this route I also broaden the understanding of Russian societal attitudes towards present-day ‘religious dissidents’. My research is based on 19 thematic interviews and participant observations in church meetings in St Petersburg between 2006 and 2009. Most of the interviewees belonged to communities that could be categorised as neo-Pentecostal. The study revealed that both a personal religious quest, especially during the societal turmoil that existed after the collapse of the Soviet Union, and the influence of friends or relatives were significant impulses for conversion. The resources sustaining the conversion as an ongoing process are communal, but also involve an individual self-improvement project within the construction of a new Evangelical self.     

Producing high-dimensional semantic spaces from lexical co-occurrence

A procedure that processes a corpus of text and produces numeric vectors containing information about its meanings for each word is presented. This procedure is applied to a large corpus of natural language text taken from Usenet, and the resulting vectors are examined to determine what information is contained within them. These vectors provide the coordinates in a high-dimensional space in which word relationships can be analyzed. Analyses of both vector similarity and multidimensional scaling demonstrate that there is significant semantic information carried in the vectors. A comparison of vector similarity with human reaction times in a single-word priming experiment is presented. These vectors provide the basis for a representational model of semantic memory, hyperspace analogue to language (HAL).