568 research outputs found

    Impact as Odyssey

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    Within the context of the UK’s Research Excellence Framework (REF), academic labor is being tagged to ‘impact’: to demonstrable outputs that go beyond academia and benefit “the wider economy and society” (HEFCE, 2009, 13; see also Rogers et al., this issue). This move is certainly not new, nor is it unique to institutions of higher education in the UK. ‘Impact statements’ have been standard in funding proposals for quite a while, grant funded projects have long required evidence of application within the communities where research occurs and, in the US, ‘service’ to institutional, professional, and broader communities is well established as one of the metrics used in governing promotion and tenure processes. In this intervention, we reflect on our experience working on an Economic and Social Research Council (ESRC) funded project where questions of impact – understood as efforts to engage participants and to produce applied results – were an ongoing concern. We offer a vision that recognizes that producing impact in research is a complicated process where alternatives to what some describe as the “wholesale neoliberalization of knowledge production” (Jazeel, 2010, np) might potentially be realized. More specifically, we offer an allegorical rendering of impact as odyssey

    Modelling cohort seasonal mortality e ects in a compositional framework

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    In the late 20th century, the average age at death for Danes and Austrians aged 50 or above and born in the Spring was approximately 6 months older than those born in the Autumn (Doblhammer and Vaupel, 2001). The pattern was reversed for native-born Australians but, using British migrants to Australia as a natural experiment, these authors showed that the latter retained the northern hemisphere pattern indicating that it must have been an `early life' e ect. This indicates that the human body can experience damage or selection in early life that can be expressed as a mortality risk 50 or more years later. The problem is that month of birth is simply an indicator. We do not know if these e ects occured during pregnancy or after birth. Those born in the Spring were in utero during the winter, which may have been bad for the mother's health and therefore their own development, but they also experienced the Spring peak in infant respiratory infections. Bengtsson and Lindstr om (2003) used historic data for southern Sweden to show that mortality risk after the age of 50 was higher if the person was born in a year with above average infant mortality. This suggests that, on balance, the survivors of a bad year were not more robust (selection) but had been damaged by the experience (debility)

    Z. Yi, E. M. Crimmins, Y. CarriĂšre and J.-M. Robine, Longer Life and Healthy Aging

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    Logos, Ethos, Pathos and the Marketing of Higher Education

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    This article utilises rhetorical analysis as a method to investigate course level marketing communications for undergraduate fashion marketing degrees in England. The purpose of this method is to explore the persuasive appeals of Aristotle’s triad of logos, ethos and pathos, how they are used and how these appeals could differ by university type. 16 course pages were analysed, with the analysis of course web pages shows a clear distinction between ‘types’ of university, with Post 92 institutions relying heavily on appeals to emotion (pathos) and giving more focus to ‘value for money’ that would be a concern to their students. Russell Group and Specialist universities rely more on appeals to ethos (credibility) and logos (fact/data) to market their courses. This research finds evidence of market segmentation, demonstrated through the different use of persuasive appeals to express the course focus, and giving insight to their target audience

    Modelling and forecasting healthy life expectancy. A Compositional Data Analysis approach

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    Will the extra years of life gained by the increase in life expectancy be lived in good or bad health? As forecasts support social, economic and medical decisions, as well as individuals' choices, there is a clear rationale for forecasting healthy life expectancy. However, only a limited number of models are available to forecast healthy life expectancy. Some are based on multistate modelling, which can be data-demanding and requires separate forecasts of transition rates for mortality within different health statuses and the incidence rate. We here suggest a less data demanding model to forecast mortality and health prevalence simultaneously. The model is based on the Sullivan method, which uses cross-sectional data, and Compositional Data Analysis. The method is applied to Swedish female mortality aged 65 and above. We show that deaths have been shifted towards older ages and not-limited, leading to an increase in both life expectancy and disability-free life expectancy
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