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Socioeconomic aims and impacts are an explicit part of the UK City of Culture (UKCoC) application, bidding, delivery and evaluation stages. This article engages with existing debates on evaluating cities of culture and introduces perspectives from critical data studies to examine the collection and analysis of different data for the purposes of the CoC application and evaluation processes.

The meta-methodological concept of accompanying researcher is used to analyse the experiences of researchers based within a city bidding for UKCoC 2025 in dialogue with the evaluation reports from past UKCoC host cities.

Findings are analysed under three themes: defining data morsels; local histories and infrastructures of data generation and sharing; and resources, capacities and expertise for data generation and evaluation. The discussion examines data still to be generated and/or brought into relation; tensions around data and measurement; and how constructing an evaluation baseline is generative—creating new organisations, relationships and practices.

The conceptual and methodological approach and empirical findings will be relevant for academic, policymakers and practitioners engaging with cultural evaluation.

In focussing on the bidding stage in real time through the accompanying researcher position, this article presents original empirical insights into the process of creating a baseline for cities of culture evaluation. The conceptual originality of this article is in using critical data studies to explain strategies of data generation and analyse data relations and frictions.

This chapter provides an overview of entrepreneurship clubs. It charts the development of these organisations, as a form of extracurricular activity. It introduces different forms of entrepreneurship clubs, such as Junior Achievement (JA) and Enactus, and explains how they grew from 1919 to the present. It also illustrates the differences between self-organised clubs, organised programs using clubs as a learning method, structured societies and nationally organised cooperative societies. The second part introduces research on student clubs in entrepreneurship education. It explores the benefits of clubs. It shows that clubs assist student learning, enable the acquisition of practical skills and improve college attendance, employment opportunities and career attainment. We argue that entrepreneurship clubs have improved student learning outcomes in entrepreneurship and simulated entrepreneurial learning, while impacting student self-efficacy and intentionality as well as improving employability and social learning. The final part of the chapter provides advice and tips for educators advising student-run entrepreneurship clubs. Ultimately, the chapter explains how student clubs have developed, why they are important for student learning and how advisors can support them.

The significance of well-being in social development policy and practice is increasingly acknowledged by scholars and practitioners worldwide. Nevertheless, when examining well-being within the context of Global South trends, existing conceptualisations seem to yield incongruent indicators. Given the background, this paper aims to synthesise theoretical and empirical literature on well-being to foster an understanding of well-being in contemporary Global South.

This article reviews the now large literature on the well-being in the Global South. The article begins with a discussion of the contributions of state-of-the-art developments in well-being studies, a realm experiencing remarkable growth in social policy studies. It then turns to the prominent well-being constructs that have garnered considerable attention within the literature, with an examination of the Global North and Global South context followed by reinterpretation of these concepts to facilitate a comprehensive study of well-being beyond the realms of welfare states. Concluding the narrative, a succinct outline of potential pathways for future research is presented in the final section.

The review reveals that the concept of well-being in the Global South does not necessarily deviate entirely from the prevailing belief that the region is fundamentally distinct from the Global North on a conceptual level. The authors have discovered that three core dimensions of well-being, namely objective, subjective and relational, are observable across societal boundaries due to the diffusion of knowledge and social and cultural practices that have progressively aligned them with Global North-style modernisation. An exception arises in the relational aspect, where the attainment of positive collective relationships precedes individual happiness to some extent. The paper advances a renewed perspective on well-being, portraying it as a situational, interconnected, collective undertaking and continuous process. These approaches empower the researchers to address the overarching question of which analytical foundations can most effectively uncover the intricacies of well-being in diverse and contemporary circumstances.

This paper helps the researchers to address the overarching question of which analytical foundations can most effectively uncover the intricacies of well-being in diverse and contemporary circumstances, thereby facilitating future enhancements in social policy design.

This study aims to explore how a postmodern tribe enacts and re-interprets ideologies as a part of consumers’ collective experience, to enhance our understanding of consumer communities in conjunction with ideological capacities.

The community of “presenteers” is conceptualized as a self-organized tribe with heterogeneous components that generate capacities to act. Netnographic observation was conducted on 18 presenteer accounts and lasted around six months. Real-time data were collected by taking screenshots of the posts and stories that these users created and publicly shared. Data were analysed by adopting assemblage theory, combining inductive and deductive approaches. Firstly, a qualitative visual-textual content analysis of the tribe’s defining components was conducted. Then, the process continued with the thematic analysis of the ideological underpinnings of the tribe’s enactments.

Findings shed light on the ways in which consumer communities interpret the entanglement of religious, political, and cultural ideologies in shaping their experiences. In the case of the presenteers tribe, findings reflect a novel ideological interplay between neo-Ottomanism, post-feminism and consumerism.

The study offers a deep dive into a unique tribe that is being organized around the consumer-created practice of “presenteering” and investigates consumer communalization in alignment with the ideological turn in culture-oriented interpretative research on consumers, consumption, and markets. This exploration helps to bridge the research on the communalization of consumers with the recent discussions of ideology in the postmodern market.

The study offers a deep dive into a unique tribe that is being organized around the consumer-created practice of “presenteering” and investigates consumer communalization in alignment with the ideological turn in culture-oriented interpretative research on consumers, consumption, and markets. This exploration helps to bridge the research on the communalization of consumers with the recent discussions of ideology in the postmodern market.

Facilitated by image retouch tools, social media influencers can digitally enhance their self-image in product recommendation posts. This paper proposes that image enhancement may serve as a cue for the audience to assess the authenticity of the influencer (“true to oneself”), which further affects the influencer's product recommendation effectiveness (i.e. attitudes toward the post and recommended product).

Experiment 1 examines the effect of image enhancement on consumers' perceived influencer authenticity and product recommendation effectiveness. Experiment 2 considers the moderating role of post type, examining the effects in informational versus storytelling posts.

Consumers perceived an influencer to be more authentic when the image is not enhanced; in turn, consumers reported more favorable attitudes toward the post and the recommended product upon reading the post. The effects are moderated by post type: the effect of image enhancement (through perceived influencer authenticity) exists in posts using an informational message format but is attenuated for those using a storytelling message format.

This research enriches the literature on authenticity cues by documenting a novel visual cue and contributes to influencer marketing by identifying a nuanced interactive effect between image enhancement and post type on recommendation effectiveness.

The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for Social Sciences (TK KDK) in Budapest. It explores the use of artificial intelligence (AI) in producing, managing and processing social science data and its potential to generate useful metadata to describe the contents of such archives on a large scale.

The authors combined manual and automated/semi-automated methods of metadata development and curation. The authors developed a suitable domain-oriented taxonomy to classify a large text corpus of semi-structured interviews. To this end, the authors adapted the European Language Social Science Thesaurus (ELSST) to produce a concise, hierarchical structure of topics relevant in social sciences. The authors identified and tested the most promising natural language processing (NLP) tools supporting the Hungarian language. The results of manual and machine coding will be presented in a user interface.

The study describes how an international social scientific taxonomy can be adapted to a specific local setting and tailored to be used by automated NLP tools. The authors show the potential and limitations of existing and new NLP methods for thematic assignment. The current possibilities of multi-label classification in social scientific metadata assignment are discussed, i.e. the problem of automated selection of relevant labels from a large pool.

Interview materials have not yet been used for building manually annotated training datasets for automated indexing of scientifically relevant topics in a data repository. Comparing various automated-indexing methods, this study shows a possible implementation of a researcher tool supporting custom visualizations and the faceted search of interview collections.