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This study investigated the multifaceted relationship between resilience engineering practices, work motivation factors, health, safety, and environment (HSE) management to achieve employee productivity within a mining company in South Kalimantan, Indonesia. Employing structural equation modelling (SEM) on data from 178 workers, intriguing results are diverged from established research. While resilience engineering practices and work motivation factors significantly enhanced productivity, robust HSE management demonstrated a surprisingly insignificant association. This unexpected finding necessitates a closer examination of the unique context of Indonesian mining culture and HSE implementation practices. Several potential explanations emerge, including ingrained communal responsibility for safety, limited applicability of imported frameworks, prioritisation of immediate needs over long-term safety due to competitive pressures, and possible erosion of trust in bureaucratic systems. These factors highlight the need to consider cultural nuances and industry challenges when designing effective HSE interventions. Moving forward, research and practice must prioritise developing culturally sensitive HSE practices, fostering trust and employee engagement, bridging the gap between formal systems and daily realities, and gathering qualitative data to understand employee perspectives. By addressing these considerations, future interventions can effectively align HSE efforts with employee productivity, contributing to a safer, more productive, culturally relevant work environment for Indonesian miners.

In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of tasks such as POS-tagging, named entity recognition (NER), and chunking, and adopt the classification paradigm to solve tasks like sentiment analysis. With the rapid progress of pre-trained language models, recent years have witnessed a rising trend of paradigm shift, which is solving one NLP task in a new paradigm by reformulating the task. The paradigm shift has achieved great success on many tasks and is becoming a promising way to improve model performance. Moreover, some of these paradigms have shown great potential to unify a large number of NLP tasks, making it possible to build a single model to handle diverse tasks. In this paper, we review such phenomenon of paradigm shifts in recent years, highlighting several paradigms that have the potential to solve different NLP tasks.

Drawing comparisons with the study of scientific revolutions by Thomas Kuhn over 50 years ago it is possible to frame synthetic biology as a new paradigm, approaching biology and its potential for redesign from an engineering and information management standpoint. This may help relate it to current thinking about potentially revolutionary future developments stemming from the recent and very rapidly progressing convergence of relevant technologies. However, striking differences from Kuhn's historic examples may also be noted – not only a greater awareness today of potential impacts that highlights the importance of explicitly incorporating broader issues of responsibility and governance but also the rapid growth in numbers of new researchers and entrepreneurs to the field globally which could accelerate the paradigm-shift process. The UK Synthetic Biology Roadmap 2012 and subsequent 2016 Strategy set out to develop a mechanism to respond nationally to this wider perspective, and examples, both UK and global, are drawn upon to help assess current progress towards the realisation of an ‘engineering biology’ paradigm.

In sustainability science, revising the paradigms that separate humans from nature is considered a powerful 'leverage point' in pursuit of transformations. The coupled social-ecological and human-environment systems perspectives at the heart of sustainability science have, in many ways, enhanced recognition across academic, civil, policy and business spheres that humans and nature are inextricably connected. However, in retaining substantialist assumptions where 'social' and 'ecological' refer to different classes of entity that interact, coupled systems perspectives insist on the inextricability of humans and nature in theory, while requiring researchers to extricate them in practice - thus inadvertently reproducing the separation they seek to repair. Consequently, sustainability researchers are increasingly drawing on scholarship from the 'relational turn' in the humanities and the social sciences to propose a paradigm shift for sustainability science: away from focusing on interactions between entities, towards emphasizing continually unfolding processes and relations. Yet there remains widespread uncertainty about the origins, promises and challenges of using relational approaches. In this paper, we identify four themes in relational thinking - continually unfolding processes; embodied experience; reconstructing language and concepts; and ethics/practices of care - and highlight the ways in which these are being drawn on in sustainability science. We conclude by critically discussing how relational approaches might contribute to (i) a paradigm shift in sustainability science, and (ii) transformations towards sustainability. Relational approaches foster more dynamic, holistic accounts of human-nature connectedness; more situated and diverse knowledges for decision-making; and new domains and methods of intervention that nurture relationships in place and practice.

COVID-19 changed the context for Information and Communication Technology (ICT) use globally. With face-to-face practice restricted, almost all communication with clients shifted to ICTs. Starting in April 2019, we conducted semi-structured interviews with social workers from four agencies serving diverse populations in a large urban centre, with the aim of exploring social workers’ informal ICT use with clients. Approximately 6 weeks after the cessation of face-to-face practice in March 2020 due to COVID-19 measures, we re-interviewed social workers (n = 11) who had participated in our study. Second interviews were based on a newly developed interview guide that explored social workers’ use of ICTs with clients in the context of COVID-19. Analysis of transcribed interviews revealed that the context of COVID-19 had generated two main themes. One, a paradigm shift for social workers was characterized by (a) diverse ICT options, (b) client-driven approach, and (c) necessary creativity. The second theme entails the impact of this transition which involved (a) greater awareness of clients’ degree of access, (b) confidentiality and privacy, and (c) professional boundaries. We discuss these themes and sub-themes and present implications for practice and research in a Post-COVID-19 world.

This article provides a rationale for inner transformation as a key and hitherto underresearched dimension of sustainability transformations. Inner transformation relates to various aspects of human existence and interactions such as consciousness, mindsets, values, worldviews, beliefs, spirituality and human–nature connectedness. The article draws on Meadows’ leverage points approach, as places to intervene in a system, to reveal the relevance of inner transformation for system change towards sustainability. Based on insights from a series of dialogue and reflection workshops and a literature review, this article provides three important contributions to sustainability transformations research: first, it increases our conceptual understanding of inner transformation and its relevance for sustainability; second, it outlines concrete elements of the inner transformation-sustainability nexus in relation to leverage points; and third, it presents practical examples illustrating how to work with leverage points for supporting inner transformation. In sum, the paper develops a systematized and structured approach to understanding inner transformation, including the identification of deep, i.e., highly influential, leverage points. In addition, it critically discusses the often contentious and divergent perspectives on inner transformation and shows related practical challenges. Finally, current developments in inner transformation research as well as further research needs are identified.

This article examines how evolving security architectures are driving paradigm shifts within geostrategic state behaviour. Arguing that Germany-India relations are deeply impacted by these shifting geopolitical dynamics — specifically, the rise of multipolarity and increased global and regional security threats — the study traces the rationale behind the two actors’ actions and explores how the interactions between them are manifested in a reconceptualisation of German foreign policy. Employing a systemic-empirical approach and presenting a qualitative case analysis, it contributes to the study of international relations between key European and Asian actors amid transformations in the global system. The author argues for the growing significance of India within German policy objectives by studying their gradual evolution with a particular focus on security, democratic values, and (green) economy — factors considered central and evolving in the bilateral relationship. By contextualising these political trajectories bilaterally and globally, the study unpacks how the policy vis-à-vis India may serve as an exemplification of the Germany’s renewed self-conception in the Zeitenwende era: a combination of civilian power projection and a more realist orientation.

Diagnosis in psychiatry faces familiar challenges. Validity and utility remain elusive, and confusion regarding the fluid and arbitrary border between mental health and illness is increasing. The mainstream strategy has been conservative and iterative, retaining current nosology until something better emerges. However, this has led to stagnation. New conceptual frameworks are urgently required to catalyze a genuine paradigm shift. We outline candidate strategies that could pave the way for such a paradigm shift. These include the Research Domain Criteria (RDoC), the Hierarchical Taxonomy of Psychopathology (HiTOP), and Clinical Staging, which all promote a blend of dimensional and categorical approaches. These alternative still heuristic transdiagnostic models provide varying levels of clinical and research utility. RDoC was intended to provide a framework to reorient research beyond the constraints of DSM. HiTOP began as a nosology derived from statistical methods and is now pursuing clinical utility. Clinical Staging aims to both expand the scope and refine the utility of diagnosis by the inclusion of the dimension of timing. None is yet fit for purpose. Yet they are relatively complementary, and it may be possible for them to operate as an ecosystem. Time will tell whether they have the capacity singly or jointly to deliver a paradigm shift. Several heuristic models have been developed that separately or synergistically build infrastructure to enable new transdiagnostic research to define the structure, development, and mechanisms of mental disorders, to guide treatment and better meet the needs of patients, policymakers, and society.

The anniversary of Kogut and Singh’s construct of “cultural distance” is a good time to reflect on this immensely popular but flawed construct, assess the efficacy of the remedies offered for its reform and refinement, and chart an alternative approach that represents a departure from distance as the dominant paradigm with which to view and analyze the impact of national culture on cross-border business. The proposed alternative, a contact-based framework shifts attention from what sets cultures apart towards the actual cultural interface that firms and their executives experience when participating in an international transaction. With this lens, the cultural exchange is regarded as an evolving interactional process of engagement, which commences prior to a transaction and proceeds through the life of the inter-party arrangement and beyond, and whose potential to yield negative – or positive – outcome is subject to specific contingencies. Implications for theory, methodology, and practice are delineated.

The application of light detection and ranging (LiDAR), a laser-based remote-sensing technology that is capable of penetrating overlying vegetation and forest canopies, is generating a fundamental shift in Mesoamerican archaeology and has the potential to transform research in forested areas world-wide. Much as radiocarbon dating that half a century ago moved archaeology forward by grounding archaeological remains in time, LiDAR is proving to be a catalyst for an improved spatial understanding of the past. With LiDAR, ancient societies can be contextualized within a fully defined landscape. Interpretations about the scale and organization of densely forested sites no longer are constrained by sample size, as they were when mapping required laborious on-ground survey. The ability to articulate ancient landscapes fully permits a better understanding of the complexity of ancient Mesoamerican urbanism and also aids in modern conservation efforts. The importance of this geospatial innovation is demonstrated with newly acquired LiDAR data from the archaeological sites of Caracol, Cayo, Belize and Angamuco, Michoacán, Mexico. These data illustrate the potential of technology to act as a catalytic enabler of rapid transformational change in archaeological research and interpretation and also underscore the value of on-the-ground archaeological investigation in validating and contextualizing results.