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ABSTRACTThis paper presents findings from qualitative interviews with 24 young people (11–17 years) who have been referred to Children's Social Care Services in England. The paper explores young people's experiences of help seeking and their experiences of receiving help for maltreatment through statutory agencies. A central finding is the importance of relationships for young people when seeking and receiving help. It is through trusting relationships with professionals that young people are most likely to disclose maltreatment and/or engage with services. The paper concludes that young people's expectations and needs are not always met by the current safeguarding system and that the system needs to become more child‐centred if it is to address the concerns maltreated young people have consistently voiced through research.

Abstract
Electronic linking of public records and predictive analytics to identify families for preventive early intervention increasingly is promoted by governments. We use the concept of social license to address questions of social legitimacy, agreement, and trust in data linkage and analytics for parents of dependent children, who are the focus of early intervention initiatives in the UK. We review data-steered family policy and early intervention operational service practices. We draw on a consensus baseline analysis of data from a probability-based panel survey of parents, to show that informed consent to data linkage and use is important to all parents, but there are social divisions of knowledge, agreement, and trust. There is more social license for data linkage by services among parents in higher occupation, qualification, and income groups, than among Black parents, lone parents, younger parents, and parents in larger households. These marginalized groups of parents, collectively, are more likely to be the focus of identification for early intervention. We argue that government awareness-raising exercises about the merits of data linkage are likely to bolster existing social license among advantaged parents while running the risk of further disengagement among disadvantaged groups. This is especially where inequalities and forecasting inaccuracies are encoded into early intervention data gathering, linking, and predictive practices, with consequences for a cohesive and equal society.

The article draws on Bacchi's ideas about problematisation (2020) and links to technological solutionism as governing logics of our age, to explore the double-faceted problem-solving logic operating in the UK family policy and early intervention field. Families with certain characteristics are identified as problematic, and local authorities are tasked with intervening to fix that social problem. Local authorities thus need to identify these families for problem-solving intervention, and data analytics companies will solve that problem for them. In the article, we identify discourses of transmitted deprivation and anti-social behaviour in families and the accompanying costly public sector burden as characteristics that produce families as social problems, and discursive themes around delivering powerful knowledge, timeliness and economic efficiently in data analytic companies' problem solving claims for their data linkage and predictive analytics systems. These discursive rationales undergird the double-faceted problem-solving for problem-solving logic that directs attention away from complex structural causes.

Electronic linking of public records and predictive analytics to identify families for preventive early intervention increasingly is promoted by governments. We use the concept of social licence to address questions of social legitimacy, agreement and trust in data linkage and analytics for parents of dependent children, who are the focus of early intervention initiatives in the UK. We review data-steered family policy and early intervention operational service practices. We draw on a consensus baseline analysis of data from a probability-based panel survey of parents, to show that informed consent to data linkage and use is important to all parents, but there are social divisions of knowledge, agreement and trust. There is more social licence for data linkage by services among parents in higher occupation, qualification and income groups, than among Black parents, lone parents, younger parents, and parents in larger households. These marginalised groups of parents, collectively, are more likely to be the focus of identification for early intervention. We argue that government awareness-raising exercises about the merits of data linkage are likely to bolster existing social licence among advantaged parents while running the risk of further disengagement among disadvantaged groups. This is especially where inequalities and forecasting inaccuracies are encoded into early intervention data gathering, linking and predictive practices, with consequences for a cohesive and equal society.

A multi-professional approach to safeguarding children, which accompanies the Department of Health's new training courses.: Focuses on the methods of identifying children at risk and details what happens at each stage of the social work process; Presents a fully multi-disciplinary approach as to how professional groups and services should co-operate to safeguard children; Part of the prestigious NSPCC Wiley Series in Safeguarding Children; Accompanies the training courses run by the DoH and NSPCC for professionals working with children

Abstract
Recent years have seen a re-emergence of international interest in relationship-based social work. This article uses children's accounts of their relationships with social workers to build on previous research to promote children's safety and well-being. Interviews were undertaken with 111 children aged six- to eighteen-years old across ten different local authorities in England, as part of the evaluation of Munro, Turnell and Murphy's Signs of Safety pilots within the Department for Education's Children's Social Care Innovation Programme. The interviews reveal four key findings: that children look for care and reciprocity in their relationships with social workers and this can be achieved through listening and small acts of kindness; that they are adept at recognising aspects of social workers' verbal and non-verbal communications which indicate to the child whether they are listening and interested in them; that there are times in which children are particularly vulnerable especially if parents are resistant to engagement or children's trust is broken; and that children actively use their agency to control their communication and engagement. The article concludes by highlighting children's relational resilience and the importance of ensuring opportunities for children to develop new relationships with social workers when previous relationships have broken down.

Abstract
This article presents findings from a quantitative study of the national data-sets for statutory children's social care services in England. The aim of the study was to examine how demand management varied in local authorities with differing levels of area deprivation. About 152 local authorities census returns and other statistical indicators covering the period 2014–2017 were combined into a single data-set. Statistical analysis was undertaken to explore trends over time and correlations between indicators that might indicate patterns in the way demand was managed. Findings showed that high levels of deprivation have continued to be strongly linked to high levels of activity and that local authorities have continued to increase their use of protective interventions relative to referrals. Evidence was found for three interconnected mechanisms, through which local authorities tended to manage demand for services: screening, rationing and workforce churn. The article describes these mechanisms and comments on their significance for the current crisis of demand in the sector.

Predictive analytics is seen as a way of identifying the risk of future problems in families. Integral to such automated predictive analysis is a shift in time frames that redraws the relationship between families and the state, to potentially intervene on an anticipatory basis of 'what hasn't happened but might'. In the process, human subjects are reformulated as disembodied objects of data-driven futures. The article explains this process and fills a significant gap in knowledge about parents' views of this development. We draw on group and individual discussions with parents across Great Britain to consider their understanding of predictive analytics and how comfortable they are with it. Parents' concerns focused on inaccuracies in the data used for prediction, the unfair risk of false positives and false negatives, the deterministic implications of the past predicting the future, and the disturbing potential of being positioned in what was a pre-problem space. We conclude with policy implications.

AbstractThe article provides a conceptually informed empirical critique of the pursuit of social licence as a warrant for data linkage and predictive analytics in the field of family policy intervention. It draws on research focusing on parental views of digitally‐driven family governance in the United Kingdom. We identify the notion of consensus that undergirds the concept of social licence that acts to obscure inequalities and silence conflict, and to reframe digital surveillance and prediction as a moral rather than political issue. Using focus group and individual interview material, we show how parents assert professional or lay experiential knowledges in making judgements about the legitimacy of and trust in operational data technologies, involving struggles between positionings as parents like 'us' and 'other' parents. We demonstrate how parents have different leverages from these unequal and morally charged social locations. Inevitably, the application of social licence in the domain of digital family policy and intervention is fractured by entrenched social divisions and inequalities.

Abstract
General Data Protection Regulations state that parents may submit a Subject Access Request (SAR) to see personal records held about them. In this article, we draw on interviews with parents who have made an SAR in order to view their children's social care records. Their experiences reveal the significant barriers of time, energy and bureaucracy that they faced in accessing their children's records. The parents felt that they were 'seen' through their records, reported inaccuracies in information about them and relayed the devastating impact that false allegations of maltreatment continued to have in their lives. Datafication becomes an integral part of the unequal power dynamic between parents and professionals, further shifting the balance towards professionals, damaging fragile trust and engagement. Crucially, there are ethical questions raised for the social work profession about the accessibility and accountability of local authority processes when parents seek justice and reparation for harm. Given the importance of records in decision making about intervention in families lives and increasing datafication of public services working with families through electronic systems including predictive analytics, our indicative findings point to the need for further investigation.

ABSTRACTWhilst there are many commonalities in the experience of living in hardship, there are also many ways in which the experience of poverty varies. This paper draws on findings from life‐history interviews about parenting and children's well‐being which were undertaken with 70 low‐income households including nine Bangladeshi families living in London. The paper explores the ways in which the experience of Bangladeshi families was similar to and different from the sample as a whole, discusses the intersection of culture, class, gender and ethnicity in the experience of living in poverty and how this impacted on parents' ability to access support. The findings show the many and complex ways poverty impacts on families' lives and suggest that many of the barriers for Bangladeshi families' to accessing services that have previously been identified still exist. The findings highlight the importance of social workers having the space to reflect on and develop their own practice in order to avoid oversimplistic assumptions about the experiences of Bangladeshi families and the need for home‐visiting services so practitioners can develop relationships and build the confidence of the most socially excluded parents.

AbstractThis paper reports on an empirical study of child protection services in a local authority where rates of investigations and interventions rose to unprecedented levels during the course of a single year. The aim of the research was to explore explanations for this rise in demand among the providers of children's social care in the area. Using an interpretative qualitative design, a series of focus groups and interviews were carried out with practitioners and managers (n = 25) from statutory services and Early Help. The findings identified a combination of long‐term and short‐term drivers of demand. Long‐term factors emphasized the impact of rising levels of deprivation combined with cuts to community‐based services for children and young people. Short‐term factors ranged from a more proactive approach to child neglect to more effective multi‐agency partnerships and joint decision making. The interaction between these factors was found to be accentuating an underlying shift to "late intervention" across the sector. The findings are contextualized in relation to contemporary debates about the crisis of demand for children's social care and the complex relationship between prevention and protection.

AbstractDemand for children's social care is often conflated with rates of intervention and associated with a limited constellation of parental risk factors. This article reports on a more comprehensive picture of demand obtained through a quantitative study of child welfare interventions in England. Longitudinal child-level data were combined from children's social care services in six English local authorities over a four-year period (2015–2018). Latent class analysis was undertaken for a random sample of child episodes where an assessment was undertaken (n = 15,000). The results were tested for consistency across LAs and to identify the most appropriate number of classes. Conditional probabilities were used to interpret the demand represented by each class, and to explore the relationship between typologies and child characteristics such as age, gender and ethnicity. The analysis found seven classes, or typologies of demand, to be present in factors at assessment across all the LAs, which were linked to certain child characteristics and intervention pathways. The findings go beyond the 'toxic trio' terminology often used to profile risks to children and support the innovative use of administrative data to provide insight into patterns of demand. Implications are discussed for strategic responses to child welfare problems and the multi-agency context of prevention.