Literary Back-Translation or Fortleben : An Afterlife for Translations Too

Walter Benjamin famously warned against the translation of translations. Yet, literary back-translations are increasingly being published: translations of literary texts are thus made accessible in the language of their original composition to their initial audience. This book argues that the malaise generated by literary back-translations is their very promise. For it transforms our conception of translation itself. It implies the recognition that translations are literary works in their own right and, as such, also worthy of translation. It thereby responds to Maria Timoczko’s crucial call for new approaches enlarging our understanding of translation, conceptually as well as ideologically. Literary back-translation reveals translation as much less teleological a process than assumed, a process that should no longer be understood as a balance of forces seeking “restitution” – as if it were possible – but as a way to enable literary works to travel in both directions, with no preconceived trajectory. •The first book on literary back-translation •An introduction theorizing literary back-translation, distinguishing it from retranslation and indirect translation, and delineating its aesthetic, political, ethical, and philosophical implications for authors, translators, publishers and readers •Chapters providing close analyses of poems and texts back-translated into a range of languages including Turkish and Chinese by a dozen authors (from Artaud, Beauvoir, Celan, Koestler and Cao Xueqín, to Benjamin and Derrida) •A book that not only works with, but contributes to, several methodological approaches (women and gender studies, postcolonial studies, material history, poetry, hermeneutics, AI translation, architecture, film, and photography) •A bibliography with a special section dedicated to known literary back-translations, to be collectively expanded on the book's companion website

Equity Lens Podcast : Ep. 15 - Equity Mainstreaming Part 1 & 2

How does an interest in health equity and intersectionality look in day-to-day life and how does it transfer to research and academic contexts? What does mainstreaming equity mean and what are the hindrances experienced in health and care research? Dr Stan Papoulias, Savi Hensman of King's College London and ARC South London, and Dr Ana Porroche-Escudero of Lancaster University and previously ARC North West Coast share their personal health equity journeys and critically reflect on cultural and structural changes required in the future

Boundary objects : sustainability reporting and the production of organizational stability

Purpose The study investigates how sustainability reporting constructs a narrative about an organization that provides its members with a reality they can accept, with the consequence of producing organizational stability. Design/methodology/approach The article reports a research engagement concerning the “backstage” of sustainability reporting in one Spanish savings bank, which the researchers engaged with for more than three years. Findings The article describes how sustainability reporting operates as a boundary object occupying the space between the organization’s loosely coupled systems and facilitating the cooperation of members with different interpretations of the organization. Different translations of discourses and actions ensure that the sustainability report conveys a ductile narrative that can be tailored to specific interpretations. At the same time, the editing inherent in sustainability reporting ensures that any narrative that may challenge the organization’s dominant perspective is ignored and marginalized. In this way, sustainability reporting produces a discourse that inscribes a narrative of the organization and eventually ensures organizational inertia. Research limitations/implications The article highlights the relevance of investigating sustainability reports by exploring the backstage of their production rather than solely the final document. Originality/value In contrast to prior research that has been concerned with exploring the extent to which sustainability reporting is associated with organizational change, this study applies different lenses to show how and why sustainability reporting is implicated in the construction of the organization and the maintenance of its stability and inertia

Search for decays of the Higgs boson into a pair of pseudoscalar particles decaying into ⁢ ¯ ⁢+⁢− using ⁢ collisions at √=13 TeV with the ATLAS detector

This paper presents a search for exotic decays of the Higgs boson into a pair of new pseudoscalar particles, H→aa, where one pseudoscalar decays into a b-quark pair and the other decays into a τ-lepton pair, in the mass range 12≤ma≤60 GeV. The analysis uses pp collision data at s=13 TeV collected with the ATLAS detector at the LHC, corresponding to an integrated luminosity of 140 fb−1. No significant excess above the Standard Model (SM) prediction is observed. Assuming the SM Higgs boson production cross section, the search sets upper limits at 95% confidence level on the branching ratio of Higgs bosons decaying into bb¯τ+τ−, B(H→aa→bb¯τ+τ−), between 2.2% and 3.9% depending on the pseudoscalar mass

ESMO Resilience Task Force recommendations to manage psychosocial risks, optimise well-being, and reduce burnout in oncology

Background Burnout in health care professionals (HCPs) results from exposure to psychosocial risks at work. Left unaddressed, burnout can lead to chronic health problems, increased staff turnover, reduced work hours, absenteeism, and early retirement from clinical practice, thus impacting patient care. The European Society for Medical Oncology (ESMO) Resilience Task Force (RTF) was established in December 2019 to support the well-being of oncology HCPs globally. This ESMO RTF position paper aims to provide a set of recommendations to optimise well-being and mitigate burnout in oncology, and to help individuals and institutions maintain the delivery of optimal cancer care. Design Recommendations were developed by a diverse multinational panel of interprofessional experts based on the key findings from three previously reported ESMO RTF surveys. Results Several recurrent work-related psychosocial risks in oncology were identified; in particular, concerns about workload and professional development. The need for flexible work patterns, continued use of virtual resources, well-being resources, and targeted support for at-risk groups were highlighted as key considerations to safeguard HCPs’ health and prevent burnout. In total, 11 recommendations relating to three priority themes were developed: (i) information and training; (ii) resources; (iii) activism and advocacy. Conclusion Optimising the well-being of oncology HCPs is essential for the provision of high-quality, sustainable care for patients globally. The ESMO RTF will continue its mission and is rolling out several initiatives and activities to support the implementation of these recommendations

An American Macroeconomic Picture : Supply and Demand Shocks in the Frequency Domain

We provide a few new empirical facts that theoretical models should feature in order to be consistent with US data. 1) There are two classes of shocks: demand and supply. Supply shocks have long-run effects on economic activity, demand shocks do not. 2) Both supply and demand shocks are important sources of business cycles fluctuations. 3) Supply shocks are the primary driver for consumption fluctuations, demand shocks for investment. 4) The demand shock is closely related to the credit spread, while the supply shock is essentially a news shock. The results are obtained using a novel approach which combines frequency domain identification and Dynamic Factor Model analysis

Assumptions and simplifications in discrete-event simulation modelling

All discrete-event simulation models are approximations of the real system that they represent. It is through making assumptions and incorporating simplifications into such models that they become an approximation. However, despite their importance, the 4definition, role and management of assumptions and simplifications is not well understood. In this paper we explore assumptions and simplifications in discrete-event simulation modelling in detail. Our approach is firstly to explore the existing literature on this topic, and then to draw this together with our extensive experience of real projects to recommend an approach to managing assumptions and simplifications in a simulation study. In doing so, we locate the role of assumptions and simplifications in a simulation study against knowledge acquisition and model abstraction respectively. We define the terms “assumptions” and “simplifications”, also identifying the role of “simplifying assumptions”. An approach to documenting, assessing and treating assumptions and simplifications which has been implemented in real projects is then described; and it is illustrated through application to a Ford Motor Company case study. This paper provides much needed clarity on the topic of assumptions and simplifications in simulation modelling, and it sets out a means for managing assumptions and simplifications during a simulation study

A Seamless Phase I/II Platform Design with a Time-To-Event Efficacy Endpoint for Potential COVID-19 Therapies

In the search for effective treatments for COVID-19, initial emphasis has been on re-purposed treatments. To maximise the chances of finding successful treatments, novel treatments that have been developed for this disease in particular, are needed. In this manuscript we describe and evaluate the statistical design of the AGILE platform, an adaptive randomized seamless Phase I/II trial platform that seeks to quickly establish a safe range of doses and investigates treatments for potential efficacy. The bespoke Bayesian design (i) utilizes randomization during dose-finding, (ii) shares control arm information across the platform, and (iii) uses a time-to-event endpoint with a formal testing structure and error control for evaluation of potential efficacy. Both single agent and combination treatments are considered. We find that the design can identify potential treatments that are safe and efficacious reliably with small to moderate sample sizes