Social Work Home Visits to Children and Families in the UK: A Foucauldian Perspective

The home visit is at the heart of social work practice with children and families; it is what children and families' social workers do more than any other single activity (except for recording), and it is through the home visit that assessments are made on a daily basis about risk, protection and welfare of children. And yet it is, more than any other activity, an example of what Pithouse has called an ‘invisible trade’: it happens behind closed doors, in the most secret and intimate spaces of family life. Drawing on conceptual tools associated with the work of Foucault, this article sets out to provide a critical, chronological review of research, policy and practice on home visiting. We aim to explain how and in what ways changing discourses have shaped the emergence, legitimacy, research and practice of the social work home visit to children and families at significant time periods and in a UK context. We end by highlighting the importance for the social work profession of engagement and critical reflection on the identified themes as part of their daily practice.

Improved lexicon-based sentiment analysis for social media analytics

Social media channels, such as Facebook or Twitter, allow for people to express their views and opinions about any public topics. Public sentiment related to future events, such as demonstrations or parades, indicate public attitude and therefore may be applied while trying to estimate the level of disruption and disorder during such events. Consequently, sentiment analysis of social media content may be of interest for different organisations, especially in security and law enforcement sectors. This paper presents a new lexicon-based sentiment analysis algorithm that has been designed with the main focus on real time Twitter content analysis. The algorithm consists of two key components, namely sentiment normalisation and evidence-based combination function, which have been used in order to estimate the intensity of the sentiment rather than positive/negative label and to support the mixed sentiment classification process. Finally, we illustrate a case study examining the relation between negative sentiment of twitter posts related to English Defence League and the level of disorder during the organisation’s related events.

Time-lapse monitoring of climate effects on earthworks using surface waves

The UK’s transportation network is supported by critical geotechnical assets (cuttings/embankments/dams) that require sustainable, cost-effective management, while maintaining an appropriate service level to meet social, economic, and environmental needs. Recent effects of extreme weather on these geotechnical assets have highlighted their vulnerability to climate variations. We have assessed the potential of surface wave data to portray the climate-related variations in mechanical properties of a clay-filled railway embankment. Seismic data were acquired bimonthly from July 2013 to November 2014 along the crest of a heritage railway embankment in southwest England. For each acquisition, the collected data were first processed to obtain a set of Rayleigh-wave dispersion and attenuation curves, referenced to the same spatial locations. These data were then analyzed to identify a coherent trend in their spatial and temporal variability. The relevance of the observed temporal variations was also verified with respect to the experimental data uncertainties. Finally, the surface wave dispersion data sets were inverted to reconstruct a time-lapse model of S-wave velocity for the embankment structure, using a least-squares laterally constrained inversion scheme. A key point of the inversion process was constituted by the estimation of a suitable initial model and the selection of adequate levels of spatial regularization. The initial model and the strength of spatial smoothing were then kept constant throughout the processing of all available data sets to ensure homogeneity of the procedure and comparability among the obtained VS sections. A continuous and coherent temporal pattern of surface wave data, and consequently of the reconstructed VS models, was identified. This pattern is related to the seasonal distribution of precipitation and soil water content measured on site.

Making Social Work Education App’ier : The Process of Developing Information-based Apps for Social Work Education and Practice

Mobile App technology in social work education remains in the embryonic stages of development with a few notable exceptions. The use of Apps in College and University settings has been reported in other sectors of higher education, although there is a paucity of research in relation to its relevance to social work education and practice. The following article describes the creation of four social work education and practice Apps by a team of social work educators. The primary focus is on the design process and the partnership approach to the creation of the tools. It also outlines the rationale for the App development, the working process and the theoretical framework underpinning mobile learning. Furthermore, it provides information on the level of usage of the Apps according to geographical location, download information and time spent on each section of the App. The article also incorporates a pragmatic summary of developmental guidelines which may aid social work educators in the development and implementation of specialist information-based Apps for education and practice.

Finance, social economics and community development

The last three decades have seen social enterprises in the United Kingdom pushed to the forefront of welfare delivery, workfare and area-based regeneration. For critics, this is repositioning the sector around a neoliberal politics that privileges marketization, state roll-back and disciplining community groups to become more self-reliant. Successive governments have developed bespoke products, fiscal instruments and intermediaries to enable and extend the social finance market. Such assemblages are critical to roll-out tactics, but they are also necessary and useful for more reformist understandings of economic alterity. The issue is not social finance itself but how it is used, which inevitably entangles social enterprises in a form of legitimation crises between the need to satisfy financial returns and at the same time keep community interests on board. This paper argues that social finance, how it is used, politically domesticated and achieves re-distributional outcomes is a necessary component of counter-hegemonic strategies. Such assemblages are as important to radical community development as they are to neoliberalism and the analysis concludes by highlighting the need to develop a better understanding of finance, the ethics of its use and tactical compromises in scaling it as an alternative to public and private markets.

Parallel Time Series Analysis and Income Inequality: A New Approach to Comparative Case Studies

This case study deals with the role of time series analysis in sociology, and its relationship with the wider literature and methodology of comparative case study research. Time series analysis is now well-represented in top-ranked sociology journals, often in the form of ‘pooled time series’ research designs. These studies typically pool multiple countries together into a pooled time series cross-section panel, in order to provide a larger sample for more robust and comprehensive analysis. This approach is well suited to exploring trans-national phenomena, and for elaborating useful macro-level theories specific to social structures, national policies, and long-term historical processes. It is less suited however, to understanding how these global social processes work in different countries. As such, the complexities of individual countries - which often display very different or contradictory dynamics than those suggested in pooled studies – are subsumed. Meanwhile, a robust literature on comparative case-based methods exists in the social sciences, where researchers focus on differences between cases, and the complex ways in which they co-evolve or diverge over time. A good example of this is the inequality literature, where although panel studies suggest a general trend of rising inequality driven by the weakening power of labour, marketisation of welfare, and the rising power of capital, some countries have still managed to remain resilient. This case study takes a closer look at what can be learned by applying the insights of case-based comparative research to the method of time series analysis. Taking international income inequality as its point of departure, it argues that we have much to learn about the viability of different combinations of policy options by examining how they work in different countries over time. By taking representative cases from different welfare systems (liberal, social democratic, corporatist, or antipodean), we can better sharpen our theories of how policies can be more specifically engineered to offset rising inequality. This involves a fundamental realignment of the strategy of time series analysis, grounding it instead in a qualitative appreciation of the historical context of cases, as a basis for comparing effects between different countries.

Measuring the macrosystem in post-accord Northern Ireland: A social-ecological approach

The macrosystem refers to the overarching patterns that influence behavior at each level of the social ecology (Bronfenbrenner, 1977), making it a necessary component for assessing human development in contexts of political violence. This article proposes a method for systematically measuring the macrosystem in Northern Ireland that allows for a subnational analysis, multiple time units, and indicators of both low-level violence and positive relations. Articles were randomly chosen for each weekday in 2006-2011 from two prominent Northern Irish newspapers and coded according to their reflection of positive relations and political tensions between Catholics and Protestants. The newspaper data were then compared to existing macro-level measurements in Northern Ireland. We found that the newspaper data provided a more nuanced understanding of fluctuations in intergroup relations than the corresponding measures. This has practical implications for peacebuilding and advances our methods for assessing the impact of macro-level processes on individual development.

The relationship between time attitudes profiles and self-efficacy, sensation seeking, and alcohol use: An exploratory study

A growing body of research has begun to report on time attitudes which specifically refers to an individual's emotional and evaluative feelings toward the past, the present, and the future. The present study used data from the first wave of a longitudinal cohort study in the United Kingdom. Sample 1 consisted of 1580 adolescents (40% female, 1.7% unreported) in Northern Ireland, while Sample 2 consisted of 813 adolescents (46.7% female, 1.4% unreported) in Scotland. Five similar time attitudes profiles emerged in both countries, with one additional "balanced" profile in Scotland. Results show that there were no substantive differences between profiles in terms of socio-demographic indicators. However, in respect of academic, social and emotional self-efficacy, best results were observed for those with Positive, Ambivalent, and Balanced profiles, with the reverse true for those with Negative, Past Negative, and Pessimistic profiles. Positives were also less likely to report using alcohol.