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‘We wear the title Yid with pride’ : personal pronouns and established-outsiders relations in the framing of Tottenham Hotspur as a ‘Jewish club’
This research demonstrates how Norbert Elias’s figurational sociological approach offers an alternative theoretical framework to examine the relationship between sport and religion. Specifically, by investigating the attitudes and opinions of football fans, this study explored the connection between Tottenham Hotspur Football Club and the Jewish faith. A total of 596 Tottenham Hotspur fans were recruited via social media to participate in an online survey, and additional in-depth, unstructured interviews with 10 participants provided qualitative data. Thematic analysis was conducted through an abductive application of figurational concepts such as ‘established-outsiders relations’ and the ‘personal pronoun’ model, and consequently generated three main themes: a) ‘pride and identity’; b) ‘sport as a religion’; and, c) ‘community’. Many fans expressed pride in the club’s association with the Jewish faith, while others argued that sport and religion are not interconnected. Fans acknowledged similarities between sport fandom and religion, such as the sense of community and belonging experienced among co-religionists or fellow football fans
The IAOx-Dependent IAA Biosynthesis Pathway : acquired insights, paradigm shifts, and unresolved questions
The auxin indole-3-acetic acid (IAA) is essential for plant growth and stress adaptation. Its biosynthesis via the indole-3-acetaldoxime (IAOx) pathway has recently undergone a paradigm shift. Recent genetic and metabolomic studies have fundamentally revised the indole-3-acetaldoxime (IAOx) pathway from a linear route (IAOx→IAN→IAM→IAA) to a dynamic network. This review synthesizes this paradigm shift by integrating evidence from key Arabidopsis studies. Crucially, mutants disrupting multiple downstream enzyme families fail to block IAA overproduction in the IAOx-accumulating superroot 2 (sur2) background. Functioning as a central branching point between auxin and defense metabolism, the tryptophan-derived metabolite IAOx, along with indole-3-acetonitrile (IAN) and indole-3-acetamide (IAM), elicits auxin responses via independent, tissue-specific pathways, with no metabolic requirement for IAM as a universal intermediate. Furthermore, IAN and IAM levels do not increase with massive IAOx accumulation, indicating a bypass route from IAOx to IAA. We conclude that IAOx acts as a central metabolic hub, partitioning flux competitively between growth and defense. Resolving the unknown IAOx-converting enzyme, the signaling roles of IAN/IAM, and the logic of metabolic channeling is vital to understanding how plants integrate hormonal and stress responses
‘Football for all, for good, for the future’? : Euro 2028 and the competing political discourses of multi-nation sporting events: dataset
The essay and multiple-choice questionnaires are not dead, but no longer enough : generative AI and assurance of learning
Since the rapid proliferation of generative artificial intelligence (GenAI) in tertiary education, much scholarly and sector discourse has framed the technology in the binary as either a threat to academic integrity or a tool for enhancement. This Editorial argues that such framings obscure a more consequential issue: generative AI has not caused a crisis of assessment validity, but has exposed the limits of long-standing, artefact-based approaches to assurance of learning (AoL). Drawing on contemporary scholarship on post-plagiarism contexts, assurance of learning, academic integrity, and relational pedagogy, this Editorial examines why traditional reliance on essays and multiple-choice questionnaires is no longer sufficient to support defensible judgements about learning when authorship cannot be reliably observed. It argues for a shift from verification-focused assessment practices towards judgement-based, programmatic, and relational approaches that foreground transparency, process, and longitudinal evidence of learning. In doing so, the Editorial seeks to reorient debate within higher education away from detection and control, and towards the design of assessment systems capable of sustaining credible assurance of learning under conditions of epistemic uncertainty
Large-scale distribution of cestode infections in wild gentoo penguins and their impact on the host microbiome
Intestinal helminths often cause chronic infections, which can impact health and productivity, particularly when combined with other stressors including the environmental challenges faced by polar species. Here we employed a faecal DNA amplicon-sequencing-based approach to study on the epidemiology of tapeworms (Cestoda) in gentoo penguins sampled from colonies within the Scotia Arc. Overall, 325 faecal samples were collected from gentoo penguins at 25 locations and screened for cestode sequences within a pan-eukaryote 18S DNA profile. Four different core groups of sequences were identified as frequently occurring in the dataset, which likely represent different species or groups of cestodes. The proportion of cestode DNA reads was highly variable, displaying an over-dispersed distribution. The proportion of cestode DNA correlated with differences in microbiome composition, suggesting that these infections may influence gut microbiota or vice versa, with broader consequences for penguin health and resilience. This study highlights the need for a comprehensive understanding of both direct and indirect effects of helminths on individual and population health
WFPC7004 IPC Children's Commissioning materials module 2
Open materials for module 1 taught day
WFPC7011 MMDP Module 1 Personal Development Plan (PDP) Template
PDP template in English and Wels
WFPC7011 MMDP Module 1 Assignment Support Materials
Materials include Assignment 1 template, grading matrix with guidance in both English and Welsh
WFPC7011 MMDP Modiwl 1 Datblygu fel Arweinydd
MMDP - Deunyddiau Modiwl 1, fersiynau Cymrae
Mapping the potential and limitations of using generative AI technologies to address socio-economic challenges in LMICs
Drawing on the experiences and lessons learned from LMIC-based researchers that leverage generative artificial intelligence (GenAI) technologies to address socio-economic challenges, we showcase the considerable potential to use GenAI to accelerate the progress towards achieving some of the Sustainable Development Goals, as well as considerable obstacles for creating locally adapted AI tools for fair development in LMICs. An expanded evidence base on GenAI in resource-limited settings is crucial for policymakers to understand opportunities and risks, while rights-based safeguards against AI harms can be strengthened by the lived experiences of local projects