Mapping social capital across Wales (UK) using secondary data and spatial analysis.

Social capital, a powerful community resource based on trust, relationships, norms, culture, values, networks and belonging, could shape the acceptance, cooperation, and involvement of citizens towards new policies or interventions. In past, connections of social capital have been studied in relation to human health, wellbeing, social and economic development. More recently, social capital has been studied with respect to human resilience and adaptation to climate change. We argue that social capital could also play a vital role in our efforts to reduce carbon footprint through behaviour change, a shift on shared local renewable energy resources, and adoption of low carbon technologies. In Wales (UK) there is no national scale dataset, reflecting its social capital landscape, that could be used for designing the right policies/interventions in this context, based on an expected level of trust, cooperation, and support within the communities. This paper is an effort to fill this data gap using secondary datasets. Firstly, a literature review is carried out to identify the indicators of social capital (cognitive and participatory). Secondary datasets have then been identified and acquired. Geospatial analysis has been carried out to produce the criterion maps for various indicators of social capital. Finally, Analytical Hierarchy Process is applied to generate a social capital map of Wales combining these indicators together. For validation of the produced data, social capital's known correlations were tested with crime rates, income level and multiple deprivations. Supplementary Information: The online version contains supplementary material available at 10.1007/s43545-023-00639-1.

The violence of uncertainty: Empirical evidence on how asylum waiting time undermines refugee health.

The idea of violent uncertainty was first introduced in the New England Journal of Medicine (Grace et al., 2018) making claims about the deleterious impacts of insecure immigration status on the health of migrants. Policies of uncertainty are said to directly and indirectly create harm by impacting on individual's health via detention and public degradation and undermining healthcare services. We offer original empirical evidence indicating an association with uncertainty, in the form of asylum waiting times, on refugees' self-reported health. We devise four hypotheses that: long waiting time for asylum decisions increases likelihood of self-reported health problems and the effect persists overtime, that female refugees report higher levels of health problems resulting from uncertainty and religion moderates the association between health and uncertainty. We use data from the UK longitudinal Survey of New Refugees wherein all new refugees were sent a baseline survey immediately after receiving refugee status and then follow-up surveys 21 months later. The findings show longer asylum waiting time is associated with poor health. Female refugees were more likely to report poor emotional and physical health. The negative effect of asylum waiting time on emotional health persists 21 months post settlement and is worse for women. The hypothesisabout the ameliorating effect of religion is only partially supported. Our findings supports existing theory and qualitative studies about the deleterious effects of using policies of waiting-related uncertainty for managing migration. Given the wide use of such policies in the Global North, our work is suggestive of likely generalisability. Thus, countries with large refugee populations might want to consider our findings when developing asylum policy which minimises impact on refugee health.

Social work contact in a UK cohort study: Under-reporting, predictors of contact and the emotional and behavioural problems of children.

BACKGROUND: There is little evidence on the degree of underreporting of social work contact in survey studies. There are also few studies about the emotional and behavioural problems of children in families who have contact with social workers, despite the adversities they face. OBJECTIVE: We examine underreporting of social work contact; the predictors of social work contact with families; and links between social work contact and emotional and behavioural outcomes for children. PARTICIPANTS AND SETTING: The Avon Longitudinal Study of Parents and Children follows the health and development of 14,062 children born in 1991-2 to women living in and around the City of Bristol. The study includes self-reported information about mothers' contact with social workers and children's emotional and behavioural outcomes using the Strengths and Difficulties Questionnaire (SDQ). METHODS: Self-reporting of social work contact in ALSPAC is compared with administrative data from the child protection register to examine rates of underreporting. We use a fixed-effects model to account for measurement error in estimating the association between social work contact and potential predictors, namely gender of the child and maternal factors: marital status, trouble with law, hospitalisation, cannabis and alcohol use, employment, financial difficulty and experience of cruelty from a partner. SDQ scores are explored using linear regression with lagged indicators of social work contact. RESULTS: The probability of a false negative for self-report of social work contact ranged from 22% to 34% across three survey waves. Mothers who married within the last 12 months were less likely to receive social work contact (OR: 0.13, CI95%: 0.01-1.34). Those who had either been hospitalised (OR: 1.52, CI95%: 1.01 - 2.28) or increased their rate of alcohol consumption (OR: 2.14, CI95%: 0.91 - 5.07) within the last 12 months were more likely to receive such contact. Overall children whose mothers report social work contact were much more likely to have emotional and behavioural problems within the first seven years of their lives (p < 0.01). CONCLUSION: There is potentially a high degree of underreporting of social work contact in social surveys and cohort studies. Researchers should adopt methods to account for this issue in the future. The risk of emotional and behavioural problems is greater among children whose mothers have had contact with social workers compared to other children with seemingly similar adversities.

Can't Count or Won't Count? Embedding Quantitative Methods in Substantive Sociology Curricula: A Quasi-Experiment.

This paper reports on a quasi-experiment in which quantitative methods (QM) are embedded within a substantive sociology module. Through measuring student attitudes before and after the intervention alongside control group comparisons, we illustrate the impact that embedding has on the student experience. Our findings are complex and even contradictory. Whilst the experimental group were less likely to be distrustful of statistics and appreciate how QM inform social research, they were also less confident about their statistical abilities, suggesting that through 'doing' quantitative sociology the experimental group are exposed to the intricacies of method and their optimism about their own abilities is challenged. We conclude that embedding QM in a single substantive module is not a 'magic bullet' and that a wider programme of content and assessment diversification across the curriculum is preferential.

Understanding healthcare practices in superdiverse neighbourhoods and developing the concept of welfare bricolage: Protocol of a cross-national mixed-methods study.

BACKGROUND: Diversity in Europe has both increased and become more complex posing challenges to both national and local welfare state regimes. Evidence indicates specific barriers for migrant, faith and minority ethnic groups when accessing healthcare. However, previous studies of health in diverse cities in European countries have mainly adopted an ethno-national focus. Taking into account the new complexity of diversity within cities, a deeper and multi-faceted understanding of everyday health practices in superdiverse contexts is needed to support appropriate healthcare provision. METHODS/DESIGN: This protocol describes a mixed method study investigating how residents in superdiverse neighbourhoods access healthcare. The study will include participant observation and qualitative interviewing as well as a standardised health survey and will be carried out in eight superdiverse neighbourhoods - with varying deprivations levels and trajectories of change - in four European countries (Germany, Portugal, Sweden and UK). In each neighbourhood, trained polylingual community researchers together with university researchers will map formal and informal provision and infrastructures supportive to health and healthcare. In-depth interviews with residents and healthcare providers in each country will investigate local health-supportive practices. Thematic analysis will be used to identify different types of help-seeking behaviours and support structures across neighbourhoods and countries. Using categories identified from analyses of interview material, a health survey will be set up investigating determinants of access to healthcare. Complex models, such as structural equation modelling, will be applied to analyse commonalities and differences between population groups, neighbourhoods and countries. DISCUSSION: This study offers the potential to contribute to a deeper understanding of how residents in superdiverse neighbourhoods deal with health and healthcare in everyday practices. The findings will inform governmental authorities, formal and informal healthcare providers how to further refine health services and how to achieve equitable access in diverse population groups.