Stirling Online Research Repository (RIOXX)
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Nostalgia and negotiation: The electronic word-of-mouth and social well-being of older consumers
Full text linkAs older people turn to the internet for consumption and social connection, it is imperative to understand how online consumption behaviors, such as generating and absorbing electronic word-of-mouth (eWOM), influence feelings of belonging. This study therefore explores how organic conversations around brands, products, and services influence older consumers' social well-being. A 6-month netnography was conducted in a social media platform geared toward older consumers where eWOM activity was created relating to books, household items, technology, furniture, financial services, clothing, and leisure activities. The findings reveal four types of eWOM-nostalgic, seeking reassurance/advice, providing reassurance/advice, and negotiation, which create experiences of social well-being. This research contributes to the marketing literature by (1) exploring the implications of eWOM on consumer well-being (2) investigating how the social value of eWOM interacts with social well-being, and (3) developing pioneering knowledge of older consumers generating and absorbing eWOM
A content analysis of nicotine descriptors on the front of vape packaging in the United Kingdom
Full text linkIntroduction The Tobacco and Related Products Regulations (TRPR) 2016 require consumers in the United Kingdom (UK) to be informed about the presence of nicotine in vaping products. However, there is misunderstanding among some young people and adults around the strength of products. We examined how nicotine content is displayed on the front of vape packaging in the UK. Methods Between August and December 2022, we systematically analysed a representative, stratified selection of vapes and refill packs (n=156) on the UK market to assess TRPR compliance. This paper presents an analysis of free-text responses collected to indicate the presence of nicotine information on the front-of-pack including metric, percentage, graphic, and text indicators. Data were analysed using descriptive statistics produced for the sample as a whole and for five product categories. Results Most packs (n=126, 81%) displayed at least one front-of-pack nicotine descriptor, including the majority of disposables (n=43, 90%), e-liquid (n=42, 88%) and refill pods (n=36, 100%). Many packs (n=107, 69%) contained a nicotine-related metric (e.g. mg/ml), a quarter (n=37, 24%) included a percentage indicator and most (n=126, 81%) displayed at least one of these. Almost two-fifths (n=57, 37%) mentioned nicotine beyond the warning. Less observed indicators included graphic and textual depictions of strength, dosage information, and equivalent number of cigarettes. Conclusion The front of vape packaging communicates important product information to consumers. There is inconsistency in how nicotine content is currently displayed. Future research should examine how best to display nicotine content to promote consumer understanding and informed decision-making. IMPLICATIONS This pack analysis of a representative sample of UK vape packaging highlights the varied way in which nicotine content and strength is currently communicated to consumers on the front of vape packaging. The inconsistent presentation of nicotine content on the front of packs may contribute to misperceptions around product strength. A consistent and easily understood way of communicating nicotine content on the front of vape packaging may help consumers make more informed choices about vape products
Korean Dual Career Judokas’ Junior-to-Senior Transition: A Longitudinal Study
Full text linkThis study adopts the athletic career transition model to explore the experiences of Korean dual-career (DC) judokas during their junior-to-senior transition using a longitudinal approach. We recruited 12 Korean elite judokas, all of whom were in their first year of university during their initial interview. Participants were organized into three focus groups, with three rounds of interviews conducted over approximately 2 years, totaling nine focus-group sessions. Thematic analysis was applied, which led to the identification of three key themes: (a) multifaceted challenges, (b) coping strategies, and (c) perceived needs of DC athletes prioritizing sport over study. The results indicate that Korean DC judokas share some common challenges (e.g., increased training demands, balancing their studies with training demands) with their European counterparts, but they also face unique challenges (e.g., managing weight control, laundry duties, and relationships with senior judokas) specific to the Korean judokas. Their coping strategies include both internal resources (e.g., focusing on performance target, utilizing resilience) and external ones (e.g., seeking social support), emphasizing the critical role of psychological support during their junior-to-senior transition. Proactive psychological support is recommended through a specialized system tailored to this group. Given that Korean DC judokas significantly prioritize sport over education, this system should also address balancing both sport and education
An Early Investigation into the Utility of Multimodal Large Language Models in Medical Imaging
No full textRecent developments in multimodal large language models (MLLMs) have spurred significant interest in their potential applications across various medical imaging domains. On the one hand, there is a temptation to use these generative models to synthesize realistic-looking medical image data, while on the other hand, the ability to identify synthetic image data in a pool of data is also significantly important. In this study, we explore the potential of the Gemini (gemini-1.0-pro-visionlatest) and GPT-4V (gpt-4-vision-preview) models for medical image analysis using two modalities of medical image data. Utilizing synthetic and real imaging data, both Gemini AI and GPT-4V are first used to classify real versus synthetic images, followed by an interpretation and analysis of the input images. Experimental results demonstrate that both Gemini and GPT4 could perform some interpretation of the input images. In this specific experiment, Gemini was able to perform slightly better than the GPT-4V on the classification task. In contrast, responses associated with GPT-4V were mostly generic in nature. Our early investigation presented in this work provides insights into the potential of MLLMs to assist with the classification and interpretation of retinal fundoscopy and lung X-ray images. We also identify key limitations associated with the early investigation study on MLLMs for specialized tasks in medical image analysis
Climate Obstruction in Scotland: the politics of oil and gas
Full text linkThis chapter examines the evolution of climate change obstructionism in Scotland, a site of particular interest because of its political and economic context. This chapter will chart the history of Scotland’s climate change debate in general and obstructionism in particular, paying attention to the political economy of oil and gas extraction in Scotland in the 21st century. It will examine the role of interest groups such as trade associations representing the oil and gas sector, trade unions representing workers in extractive industries, and individual private enterprises (including some of the oil majors with interests in Scotland) in shaping the country’s climate debate and policy. It will also consider the connection between climate obstructionism and policy, examining climate delay and climate denial discourses in Scotland’s mainstream and social medi
The Acoustic Index User’s Guide: A practical manual for defining, generating and understanding current and future acoustic indices
Full text link1. Ecoacoustics, the study of environmental sound, is a rapidly growing discipline offering ecological insights at scales ranging from individual organisms to whole ecosystems. Substantial methodological developments over the last 15 years have streamlined extraction of ecological information from audio recordings. One widely used set of methods are acoustic indices, which offer numerical summaries of the spectral, temporal and amplitude patterns in audio recordings. 2. Currently, the specifics of each index’s background, methodology, and the soundscape patterns they are designed to summarise, are spread across multiple sources. Critically, details of index calculation are sometimes scarce, making it challenging for users to understand how index values are generated. Discrepancies in understanding can lead to misuse of acoustic indices or reporting of spurious results. This hinders ecological inference, replicability, and discourages adoption of these tools for conservation and ecosystem monitoring, where they might otherwise provide useful insight. 3. Here we present the Acoustic Index User’s Guide - an interactive RShiny web app that defines and deconstructs eight of the most commonly used acoustic indices to facilitate consistent application across the discipline. We break the acoustic indices calculations down into easy-to-follow steps to better enable practical application and critical interpretation of acoustic indices. We demonstrate typical soundscape patterns using a suite of 91 example audio recordings: 66 real-world soundscapes from terrestrial, aquatic, and subterranean systems around the world, and 25 synthetic files demonstrating archetypal soundscape patterns. Our interpretation figures signpost specific soundscape patterns likely to be reflected in acoustic indices’ values. 4. This RShiny app is a living resource; additional acoustic indices will be added in the future through collaboration with authors of pre-existing and new indices. The app also serves as a best-practice template for the information required when publishing new acoustic indices, so that authors can facilitate the widest possible understanding and uptake of their indices. In turn, improved understanding of acoustic indices will aid effective hypothesis generation, application, and interpretation in ecological research, ecosystem monitoring, and conservation management
Studying Great Apes and Cultural Diversity to Understand the Human Mind
Full text linkPsychologists want to understand how the human mind is extraordinary among animal minds and where the unique aspects of human minds and behaviors come from. To build scientific understanding of human minds, we must study the wide range of humans across cultures, to know what all humans have in common and which aspects of human minds are diverse. However, this is not enough-studying humans across cultures tells us how humans think and act, not how they are unique among animals. To understand how humans are similar and dierent from other animals, we must study other animals too, especially our close primate relatives, the great apes, who have minds that are similar to ours in many, but not all, ways. So, to understand human minds and behaviors, researchers should study humans and non-humans at a scale that allows us to explore the origins of the similarities and dierences of minds and behaviors across our world today
How can agent-based modelling provide new insights into the impact of minimum unit pricing in Scotland?
Full text linkIn recent years we have gained insight into the impact of minimum unit pricing (MUP)-a legal floor price below which a given volume of alcohol cannot be sold-on population-level reductions in alcohol sales, consumption and harm. However, several questions remain unanswered including how individual-level purchasing changes impact the local economy (e.g., balance between on-licence and off-licence outlets), lead to long-term population-level trends (e.g., youth drinking) and social harms (e.g., violence). Agent-based modelling captures heterogeneity, emergence, feedback loops and adaptive and dynamic features, which provides an opportunity to understand the nuanced effects of MUP. Agent-based models (ABM) simulate heterogeneous agents (e.g., individuals, organisations) often situated in space and time that interact with other agents and/or with their environment, allowing us to identify the mechanisms underlying social phenomena. ABMs are particularly useful for theory development, and testing and simulating the impacts of policies and interventions. We illustrate how ABMs could be applied to generate novel insights and provide best estimates of social network effects, and changes in purchasing behaviour and social harms, due to the implementation of MUP. ABMs like other modelling approaches can simulate alternative implementations of MUP (e.g., policy intensity [£0.50, £0.60] or spatial scales [local, national]) but can also provide an understanding of the potential impact of MUP on different population groups (e.g., alcohol exposure of young people who are not yet drinking). Using ABMs to understand the impact of MUP would provide new insights to complement those from traditional epidemiological and other modelling methods
“Why should care workers be any different from prison workers?” A qualitative study of second-hand smoke exposure during home-care visits and potential measures to eliminate exposure
Full text linkIntroduction Despite world-leading measures in place to protect employees from second-hand smoke exposure in workplaces in the United Kingdom, workers who deliver health and social care in private homes remain unprotected legally in this setting from second-hand smoke exposure (SHS). Methods Fourteen individuals took part in either an in-depth telephone interview (n = 11) or an online focus group discussion (n = 3), including home-care workers (n = 5) and managers (n = 5) based in Lanarkshire (Scotland) and local/national policy makers (n = 4). Participants were asked about the extent to which exposure to SHS is an issue during home visits and possible additional measures that could be put in place to eliminate exposure. Results Participants highlighted the difficulties in balancing the provision of care in a person’s own home with the right of workers to be able to breathe clean air and be protected from SHS. Current strategies to reduce staff exposure to SHS during home visits were often reported as inadequate with SHS not a hazard considered by managers beyond protecting pregnant staff or those with pre-existing respiratory conditions such as asthma. Simple respiratory protective equipment (as used during the COVID-19 pandemic) was rightly identified as being ineffective. Methods such as nicotine replacement therapy and e-cigarettes were identified as potential ways to help people who smoke achieve temporary abstinence prior to a home visit. Conclusion Implementing appropriate and proportionate measures to protect home-care workers from the harms posed by SHS should be a priority to help protect the health of this often overlooked occupational group
Domination and the Arts of Digital Resistance in Social Media Creator Labor
Full text linkThis article conducts a collaborative qualitative thematic analysis of in-depth interviews with social media content creators (N = 53) based in and/or originated from the United Kingdom. It aims to better understand how creators within one peripheral region in Northern England express their labor experiences as both practices of domination and e-resistance. The article contributes an original typology of the relationships between practices of creator domination and forms of individual or collective e-resistance, encompassing varying levels of visibility, targets, sources, and underlying motives. It develops a novel creator workers’ inquiry methodology to establish this multifaceted typology of creator e-resistance. The findings suggest that creator e-resistance should consider the relationships among practices of material, status, and ideological domination, and forms of non-resistance, individual hidden e-resistance, collective hidden e-resistance, and collective public e-resistance
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