Editorial

This article explores the contributions that five different approaches to discourse analysis can make to interpreting and understanding the same piece of data. Conversation analysis, interactional sociolinguistics, politeness theory, critical discourse analysis, and discursive psychology are the approaches chosen for comparison. The data is a nine-minute audio recording of a spontaneous workplace interaction. The analyses are compared, and the theoretical and methodological implications of the different approaches are discussed.

Typically, research on vegetarianism has sought to identify the psychological characteristics that distinguish vegetarians from meat-eaters. Health concerns have been identified as a motivation for meat abstention. In this article, rhetorical analysis of Internet discussions about health and vegetarianism highlights the argumentative orientation of explanations for meat consumption, with the various constructions of health serving a rhetorical function. We show the dilemmatic nature of arguments about the relationship between food and health: food can promote health and cause ill-health, and suggest that meat-eating as a dominant practice is supported by the rhetorical use of notions of 'balance', implying moderation, inclusion and rationality. This rhetorical approach represents a radical critique of past work that assumes opinions given in response to questions about vegetarian practices represent 'causes' of dietary practice.

Abstract - Autonomous Vehicles (AVs) face the challenge of recognising active traffic lights under harsh environmental conditions. Standard cameras and computer vision algorithms also face the same challenge. In this paper, we built a small-scale system to mitigate this challenge. First, we developed a light controller and a dataset builder script. The light controller and dataset builder script were then used to build a dataset of traffic lights with different lights activated. Bounding boxes were annotated on the traffic light dataset using dlib's imglab software. The dataset uses the HOG with Linear SVM object detector. An RGB histogram approach is adopted to train a logistic regression model on the feature vector data to recognise which light is "on" among the training images. Finally, a robot control script is developed and tested. The script uses both the object detector and colour recogniser for its detection and recognition. Our results show 89% accuracy in identifying a red-yellow-green traffic light under extreme environmental conditions

The research had the following three aims: 1. To increase knowledge and understanding of the nature of the changes to legal services for unaccompanied and separated migrant children since the implementation of LASPO (2012), the scale of the Act, and the profile of children at risk of being left vulnerable to a lack of access to justice. 2. To identify the main issues arising from these changes, including how they have affected immigration related processes, procedures and practices, the indirect consequences of the changes, and the impact they have had on children’s rights under the United Nations Convention on the Rights of the Child (UNCRC, 1989). 3. To consolidate multiple perspectives on the legal aid changes, drawing from the first hand experiences of children and young people themselves, local authorities, advocates and legal practitioners. The research process involved: A desk-based review of the context, scale and impact of the changes on unaccompanied and separated migrant children. Locating the legal aid changes within the broader framework of the international standards and obligations of the United Nations Convention on the Rights of the Child (1989). Issuing Freedom of Information Requests to various public authorities as a means of getting baseline figures on the scale of the impact on unaccompanied and separated migrant children. Undertaking a survey with practitioners as a way of establishing baseline data about the frequency and circumstances of unaccompanied and separated children out of scope. Interviewing professionals across a range of legal, care and advocacy settings, concentrating on their experiences and perceptions of the ways in which the legal aid changes are directly and directly affecting the lives of unaccompanied and separated migrant children. Having conversations with separated and unaccompanied migrant children directly caught up in the changes about their first hand experiences of immigration processes and procedures and their hopes for others in the future.

In 2015, the Big Lottery Fund engaged Parents 1st to carry out an evidence review exploring if and how volunteering, peer support and ‘community champions’ projects can support child development outcomes. The review was commissioned as part of A Better Start (ABS), a £215million investment, launched in October 2012, which aims to improve the life chances of the most vulnerable babies and children in England. The review is intended to support five voluntary sector-led partnerships to design, develop and implement programmes of science and evidence-based services to improve outcomes in pregnancy and early life for children aged 0-3 (i.e. up to a child’s fourth birthday).

As if fleeing conflict and persecution wasn’t enough, for child refugees in the UK safety can come at a heavy price. Our report Without My Family highlights the devastating impact on children who have already experienced so much. Along with Refugee Council and Save the Children, the report exposes the impact on child refugees living in the UK of being separated from their families.The children we spoke to told us how the government's policy of keeping families apart caused them constant anxiety, fear for the safety of their parents and siblings and in some cases serious damage to their mental health. The UK governments refusal to guarantee a child's right to family reunification is in breach of its international obligations under the UN Convention on the Rights of the Child. The arguments the governments put forward in denying these rights revolve around an unfounded fear of encouraging dangerous journeys by more asylum seeking children. Nothing in this research, or wider research into the issue supports this contention. The children we spoke to invite the government to imagine themselves or their families in a similar situation. With your help we're calling for the following changes to the current rules: * Allow child refugees in the UK the right to sponsor their close family, so they can rebuild their lives together and help them integrate in their new community * Expand who qualifies as family, so that young people who have turned 18 and elderly parents can join their family in the UK * Reintroduce legal aid for refugee family reunion cases so people who have lost everything have the support they need to afford and navigate the complicated process of being reunited with their families. We are proud to be part of the Families Together coalition, campaigning for change alongside more than 50 other organisations who want to bring #FamiliesTogether.

Despite widespread agreement on the importance of preparing management students for working in diverse organizations there is evidence (Perriton, Elliott and Humbert 2021; Perriton and Elliot 2018) that this is often ignored or marginalised in formal curricula. Our article draws on the concept of the hidden curriculum to present the results of a project in which business school academics and support staff explored the ‘unthought knowns’ (Bollas 2017: xix) that influence how equality, diversity and inclusion are, or are not, engaged with in the classroom. Our data were generated during workshops using the LEGO® Serious Play® methodology in which participants built LEGO® models to develop their own understandings of equality, diversity and inclusion. The models, and the discussions about them, uncovered complexities and contradictions inherent within these topics, alongside significant levels of anxiety and fear. Our study makes two contributions; firstly through the animal metaphors that featured in the models, we identify some of the anxieties that are generated by these topics which are likely to influence the hidden curriculum. Secondly, our innovative use of LEGO® Serious Play® contains important implications about the actual mechanism through which such insights can be ‘surfaced’ so that they become available for reflection and thought.

SRS is a European research project for building robust personal assistant robots using ROS (Robotic Operating System) and Care-O-bot (COB) 3 as the initial demonstration platform. In this paper, experience gained while building the SRS system is presented. A main contribution of the paper is the SRS autonomous control framework. The framework is divided into two parts. First, it has an automatic task planner, which initialises actions on the symbolic level. The planner produces proactive robotic behaviours based on updated semantic knowledge. Second, it has an action executive for coordination actions at the level of sensing and actuation. The executive produces reactive behaviours in well-defined domains. The two parts are integrated by fuzzy logic based symbolic grounding. As a whole, they represent the framework for autonomous control. Based on the framework, several new components and user interfaces are integrated on top of COB's existing capabilities to enable robust fetch and carry in unstructured environments. The implementation strategy and results are discussed at the end of the paper.