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Attachment theory and research: what should be on the core curriculum for children and family social workers?
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A Multimodal Dataset of Climate Change Narratives in China and the UK
No full textThis paper describes the first comparative multimodal dataset focusing on climate change communication across two major social video platforms prevalent in different parts of the world: BiliBili (China) and YouTube (International platform but here we focus on the audience based in United Kingdom). These platforms were selected because their long-form video formats lend themselves particularly well to narrative analysis, offering advantages over other forms of social media. The dataset comprises video cover images, metadata, engagement statistics, and textual content (titles, descriptions, and transcripts) for 2,798 videos (2,092 from BiliBili and 706 from YouTube), ranging from May 2007 to April 2025. All data are hosted on Mendeley Data to support Open Access and reuse. The dataset offers substantial potential for researchers in environmental communication, digital humanities, and computational social science, enabling cross-cultural analysis of public discourse and storytelling practices related to the climate crisis
Trust gained, trust lost: A qualitative analysis of Human Trafficking survivors’ experiences
No full textPodcasting is a Versatile Tool for Assessment: Four Ways to Diversifying Class Assignments
No full textRefusing expectation? Class, masculinity and selfhood in a longitudinal analysis of young men’s educational transitions/ trajectories, age 10-22
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The Effects of Immigration on Places and People – Identification and Interpretation
No full textMost studies on the labor market effects of immigration use repeated cross-sectional data toestimate the effects of immigration on regions. This paper shows that such regional effects arecomposites of effects that address fundamental questions in the immigration debate but remainunidentified with repeated cross-sectional data. We provide a unifying empirical frameworkthat decomposes the regional effects of immigration into their underlying components andshow how these are identifiable from data that track workers over time. Our empiricalapplication illustrates that such analysis yields a far more informative picture of immigration’seffects on wages, employment, and occupational upgrading