58622 research outputs found
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Electoral politics over automation in a dual economy
Full text linkWhen automation in a developing economy displaces low-skilled workers in the advanced sector, backward sector wages may fall due to in-migration of the ‘newly’ unemployed. Fear of job and income loss may then induce office-seeking political parties to announce regulatory policies on automation for electoral success. We show that absent sectoral spillover, democratic adoption of automation is relatively higher and protects only high-skilled jobs in the advanced sector. However, the possibility of spillover limits this adoption. More specifically, if the backward sector is large, automation faces full resistance. In contrast, if the advanced sector is large, automation is moderate, making only the low-skilled jobs vulnerable. But these vulnerable workers, unlike their counterparts in the backward sector, may prefer automation because their advanced-sector wages fall below the severance pay plus backward-sector opportunities. When neither sector is large, the size of automation becomes uncertain, pushing similar economies into different growth paths
On the dynamics of intersectional (in)visibility:Women early career researchers negotiating authenticity at work
Full text linkHow do women negotiate and express authenticity in professional contexts where their presence and identities are largely rendered (in)visible? We draw on intersectional invisibility as our conceptual lens to explore how women early career researchers subjectively negotiate authenticity given prevailing conditions of visibility, invisibility and hypervisibility at work. Based on semi-structured interviews with recipients of the Organisation for Women in Science from Developing Countries (OWSD)-Elsevier award, we illuminate how (in)visible conditions shape the subjective negotiation of authenticity, informing the agentic capacity of women researchers to express themselves authentically in professional settings. Our findings reveal the negotiation of authenticity is closely tied to gender performance in a manner that aligns with perceived professionalism. This entails compartmentalising personal values when feeling invisible, experiencing a heightened awareness of context-specific boundaries when visibility increases and enacting adaptive agency when hypervisible. We thus posit authenticity as a continuous process of ongoing identity construction and negotiation rather than a static ideal.</p
The Narration of Status in Far-Right Populist Foreign Policy:The United States of Trump 2.0
Full text linkThis paper focuses on how, during his second mandate, far-right leader Donald Trump tells a story of his nation as having been disrespected in the recent past by national elites and global ones, while the leader and their close circle have the mission to repair that status as part of United States foreign policy (i.e. respect for the status of the US). When narrating a better future, Trump travels to a remote national past to show the possibility of reinstating US stature in the international. While constructing that better future, Trump also starts to unfold a foreign policy story of success to cement the brighter future in a retrospective way given this future has purportedly been previously lived in a more remote national past. Relied on here is symbolic interactionist role theory, strategic narrative analysis and the notion of ‘heartland’ from populism scholarship; this paper also contributes to the study of narratives of roles and populism in the field of foreign policy analysis by engaging with the IR notion of ‘status’. Taking an interpretative analysis approach, this case study shows how far-right leaders like Trump can conceive and play the status or master role of their states in foreign policy via strategic narratives
A comprehensive comparison of dynamic strain localisation and mechanical behaviour in traditional and additively manufactured Ti6Al4V
Full text linkTitanium alloys are widely used in aerospace, defence, automotive, and biomedical engineering owing to their high specific strength and excellent corrosion resistance. Additive manufacturing has emerged as a promising alternative to conventional production methods, offering the capability to fabricate complex geometries while reducing processing time and material waste. In this study, the high strain rate deformation behaviour of Ti6Al4V produced by selective laser melting is investigated using a Split Hopkinson Tension Bar system equipped with a multi-camera high-speed imaging setup. A comprehensive experimental programme is conducted on specimens manufactured in three different build orientations to assess the influence of processing direction on dynamic strain localisation and true stress–strain response. The post-necking behaviour is examined and compared with that of conventionally forged Ti6Al4V, revealing notable differences in ductility and strain localisation mechanisms. In addition, the high strain rate compressive behaviour of both material variants and their temperature dependence are investigated using a Split Hopkinson Compression Bar system equipped with thermal conditioning. The deformation and failure mechanisms of additively manufactured specimens produced in different orientations are further examined through post-mortem analysis of the fracture surfaces
Precarious work:A critical review and a proposal for future research
Full text linkThis paper provides an interdisciplinary critical integrative review of research on precarious work. Based on a review of 311 records, we develop an integrated framework that brings together the antecedents, outcomes, and responses to precarious work found in the literature. We also explain the discrepancy between the ideas of key influential thinkers about the existence of political potential of precarity, and the lack of fieldwork evidence that would suggest that this potential is coming to fruition. We highlight that prevailing theorisations do not take appropriate account of the historico-cultural embeddedness, or the intersectional experiences, outcomes of, and responses to precarious work in different locations. We outline a pathway for future research, arguing for: 1) shifting the empirical focus of studies towards greater inclusion of members of currently under-represented geographical contexts, occupations and social groups, and towards appreciation of the different, context-specific forms, impacts, and responses to precarious work; 2) developing a nuanced understanding of the experiences and outcomes of precarious work as an intersectional phenomenon; 3) decolonising our thinking about precarious work through engagement in reflexivity about the assumptions underlying the extant knowledge. Finally, we put forward policy recommendations for addressing the prevalence and impacts of precarious work worldwide
Spatiotemporal mapping and analysis of protein functional states using F¨orster resonance energy transfer resolved by fluorescence lifetime imaging microscopy and applications in cancer research
No full textBook review of the book “The Affective Dimension in English-medium instruction in higher education” by D. Lasagabaster, A. Fernández-Costales & F. de Lis González-Mujico (Ed)
Full text linkEnglish-medium instruction (EMI) has become a defining feature of the internationalisation of higher education, yet research in this area has long privileged cognitive, linguistic, and achievement-oriented perspectives (Curle et al., 2025). Despite the rapid expansion of EMI scholarship, affective dimensions such as emotion, identity, wellbeing, motivation, and belief systems have frequently been treated as peripheral rather than constitutive elements of teaching and learning (Rose et al., 2026). The Affective Dimension in English-Medium Instruction in Higher Education addresses this imbalance directly. The edited volume offers a sustained and empirically grounded examination of affect as a central lens through which EMI practices, experiences, and outcomes can be more fully understood
AI governance under the second Trump administration:implications for labour
Full text linkThis commentary examines the emerging body of rules, policies and practices governing the development, adoption and use of artificial intelligence (AI) technologies in the United States, and its implications for work and workers. At the federal level, the United States has so far pursued a strategy based on export controls and a relatively permissive regulatory environment with a patchwork of measures to promote responsible AI innovation and use. As the second Trump administration now begins to implement plans to entirely overhaul frameworks adopted under President Biden, however, the situation is more volatile. Major initiatives designed to hold employers accountable and prevent harms to workers, including Biden’s flagship Executive Order, are no longer in place. While some progress can be observed at the state level, many proposals for legislation to strengthen workers’ rights in relation to AI have stalled. A conservative majority in the Supreme Court meanwhile lays the ground for further rulings that could undermine the power of organised labour. Despite these enormous challenges, workers are increasingly regarding AI adoption and use as a site of collective struggle. Alongside jurisdiction case reports on China, Canada, Brazil, India and the EU, the following discussion of the US’s AI regulation, development and governance approaches today is part of the Artificial Intelligence Policy Observatory for the World of Work (AIPOWW) symposium
Dataset for a framework for assessing the impact of geometric imperfections in concrete shell structures using deep learning
No full textThis dataset contains scripts and data supporting the following following thesis: Pollet, M. (2025). Rapid structural analysis of prefabricated thin concrete shells using deep learning (Thesis). University of Bath. Concrete thin-shells are materially efficient structures, which can be used to reduce the environmental impact of concrete structures. However, geometric imperfections, which may occur during production can negatively impact their structural behaviour. While this impact can be assessed through Finite Element Analysis (FEA), a faster analysis method, such as surrogate modelling, could benefit concrete shell manufacturers. This dataset contains deep learning models – Multilayer Perceptrons, and Convolutional Neural Networks – that have been trained to predict the buckling factor and stress fields of geometrically imperfect concrete thin-shells of various shapes under design loads. It also contains the Python scripts that were used to train these models and assess their performance. Running these scripts necessitates the associated ConcreteShellFEA dataset to be downloaded. Further details about this data can be found in the related thesis
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