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Presents results of focus group discussions held with 300 nine‐to‐11‐year old UK children. Questions were asked about whether it matters if someone is fat or thin; whether a fat child should take any action; what problems they might have; and the relationship between fatness, thinness and health. Considerable complexity emerged; children divided fat children into those for whom it was natural and those for whom it was self‐inflicted. They showed a great deal of sympathy for “naturally” fat children. However, they also felt that fat children would be bullied. Girls seemed less able than boys to resist the pressures to be thin, but also showed considerable ability to distance themselves from media images of thin women. Although children had learned the orthodoxy surrounding health, fat and overweight, they did not believe that “thin is good, fat is bad” and did not tend to link weight control with exercise.

This article describes the practical example and experience of setting up from scratch an organisation called Support Line for Kent Social Services Department. It covers briefly the type of service, the marketing of it and organisational context and evaluation.

Describes the way in which one UK organization has responded to the problem of stress at work through the establishment of an in‐house counselling service available without charge to all employees. Describes the structure and mode of operation of the service, including the monitoring and evaluation process. Presents broad outcomes of the monitoring and evaluation and draws out some implications for good practice.

The purpose of this paper is to consider youth gangs and county lines with reference to the current drive for a public health response to these issues.

This viewpoint paper traces the development of gang and serious youth violence responses in England, exploring the shift from a punitive to safeguarding response to young people affected by these issues.

Drawing on the learning from both Scotland and the USA, this paper considers the relevance of a public health model to responding to youth gangs and county lines, highlighting the key facets of such an approach.

This paper provides a historical context to the issues surrounding previous responses to youth gangs and goes on to consider the practicalities and relevance of a public health model response.

Entrepreneurs may wish to be selective about which relatives to include or exclude in their businesses. For example, their child might be inept but their niece might be outstanding. What aspects of kinship systems affect their ability to make these sorts of choices? What enables them to bend their ties of kinship and marriage to the interests of their business? Most broadly, what dimensions of kinship lend themselves to tactical or instrumental actions? This question is sweeping just as my meaning of “entrepreneurs” is very broad: those who take actions with the goal of growing their capital (Stewart, 1991). This capital may take the form of newly started ventures, dynastic firms, or even in precapitalist systems other social forms, for example, rural estates farmed by followers.

Currently, in the education data use literature, there is a lack of research and examples that consider the early steps of filtering, organizing and visualizing data to inform decision-making. The purpose of this study is to describe how school leaders and researchers visualized and jointly made sense of data from a common learning management system (LMS) used by students across multiple schools and grades in a charter management organization operating in the USA. To make sense of LMS data, researchers and practitioners formed a partnership to organize complex data sets, create data visualizations and engage in joint sensemaking around data visualizations to begin to launch continuous improvement cycles.

The authors analyzed LMS data for n = 476 students in Algebra I using hierarchical cluster analysis heatmaps. The authors also engaged in a qualitative case study that examined the ways in which school leaders made sense of the data visualization to inform improvement efforts.

The outcome of this study is a framework for informing evidence-based improvement cycles using large, complex data sets. Central to moving through the various steps in the proposed framework are collaborations between researchers and practitioners who each bring expertise that is necessary for organizing, filtering and visualizing data from digital learning environments and administrative data systems.

The authors propose an integrated cycle of data use in schools that builds on collaborations between researchers and school leaders to inform evidence-based improvement cycles.

Hiring managers commonly rely on system-justifying motives and attitudes during résumé screening. Given the prevalent use of modern résumé formats (e.g. LinkedIn) that include not only an applicant's credentials but also headshot photographs, visible sources of information such as an applicant's race are also revealed while a hiring manager simultaneously evaluates a candidate's suitability. As a result, such screening is likely to activate evaluation bias. The purpose of this paper is to examine the role of a hiring manager's perceptions of race-system justification, that is, support for the status quo in relations between Black and White job candidates in reinforcing or mitigating hiring bias related to in-group and out-group membership during résumé screening.

Drawing from system justification theory (SJT) in a pre-selection context, in an experimental study involving 174 human resource managers, the authors tested two boundary conditions of the expected relationship between hiring manager and job candidate race on candidate ratings: (1) a hiring manager's affirmative action (AA) attitudes and system-justifying attitudes and (2) a job candidate's manipulated suitability for a position. This approach enabled us to juxtapose the racial composition of hiring manager–job candidate dyads under conditions in which the job candidate's race and competency for a posted position were manipulated to examine the conditions under which White and Black hiring managers are likely to make biased evaluations. The authors largely replicated these findings in two follow-up studies with 261 students and 361 online raters.

The authors found that information on a candidate's objective suitability for a job resulted in opposite-race positive bias among Black evaluators and same-race positive bias among White evaluators in study 1 alone. Conversely, positive attitudes toward AA policies resulted in in-group favoritism and strengthened a positive same-race bias for Black evaluators (study 1 and 2). We replicated this finding with a third sample to directly test system-justifying attitudes (study 3). The way in which White raters rated White candidates reflected the same attitudes against systems (AA attitudes) that Black raters rating Black candidates exhibited in the authors’ first two studies. Positive system-justifying attitudes or positive attitudes toward AA did not, however, translate into the elevation of same-race candidate ratings of suitability above those of opposite-race candidates.

Although the size of the sample is on par with the percentage of Blacks nationwide in private-sector managerial-level positions ideally, the authors would have preferred to oversample Black HR managers. Given the scarcity of focus on Black HR managers, future researchers, using diverse samples of evaluators should also consider not only managers' and candidates' race but also their social dominance orientation. Moreover, it is important that future researchers use more racially diverse samples from other industries to more fully identify the ways in which the dynamics of system-justifying processes can emerge to influence evaluation bias during résumé screening.

Advances in technology pose new challenges to HR hiring practices. This study attempts to fill a void regarding the unintended effects of bias during digital résumé screening. These trends have important HR implications. Initial screening of a job applicant's credentials while concurrently viewing the individual's photograph is likely to activate subconscious evaluation bias, produces inaccurate applicant ratings. This study's findings should caution hiring managers about the potential for bias to arise when viewing job candidates' digital résumés and encourage them to carefully examine various boundary conditions on racial similarity bias effects on applicant pre-screening and subsequent hiring decisions.

The study’s results suggest that bias might be attenuated as organizational leaders engage in efforts to understand their system-justifying motives and examine perceptions of the workplace social hierarchy (i.e. responses to status hierarchies) linked to perceptions of the status quo. For example, understanding how system justifying motives influence evaluation bias will inform how best to design training and other interventions that link discussions of workforce diversity to the relationships among groups within the organization's social hierarchy. This line of research should be further explored to better understand the complex forces at work when hiring managers adopt system-justifying motives during hiring evaluations.

The authors address the limitations of prior research by examining interactions between boundary conditions in a real-world context using real human resources hiring managers and more contemporary personnel-screening practices to test changes in the direction and strength of the relationship between hiring manager–job candidate race and hiring manager evaluations. Thus, the authors’ findings have implications for hiring bias and understanding of system-justification processes, particularly regarding how, when and why hiring managers support the status quo (i.e. perpetuate inequity) even if they are disadvantaged as a result.