That expressive writing can be a beneficial response to trauma or grief is well-established in the literature. Grief research also shows that the majority of people are resilient in the face of the death of loved ones. That said, traditional rituals around loss are no longer ubiquitous, well-known phase models of bereavement are contested, and ‘unfinished business’ can create difficulties in the face of loss. Increasingly, bereavement scholars speak of a need for individuals in western society to make meaning of their own grief through narrative construction, though little is said about what constitutes a beneficial story. The author takes an autoethnographic approach to write and reflect on her spouse’s illness and death and explores through a multi-voiced expressive dialogue a personal issue around her bereavement. In an analysis of her writing, using Dialogical Self Theory, she identifies markers which may be indicative of the development of a beneficially constructed narrative. The model of writing-for-transformation is used to describe the overall intent of the process, while the dialogical markers show how progress may be identified. Reinekke Lengelle (2020) Writing the Self and Bereavement: Dialogical Means and Markers of Moving Through Grief, Life Writing, 17:1, 103-122, DOI: 10.1080/14484528.2020.1710796
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This paper argues that there is a need for a dialogical learning space because soft skills are becoming increasingly important in an ever more unstable labour market. Where once a monological form of education worked to prepare youth for the future, now a dialogue is required. This dialogue, by definition or in the first place seek consensus, but assumes pluralism and even conflict and is thereby intended to be a true departure from the monological nature of education.
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Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.
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