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Abstract Adult children are key confidants for their aging parents, often providing emotional and advisory supports. Still, adult children are not a guaranteed presence in older people's core discussion networks. Geographical distance is a leading explanation for why some children are excluded from the confidant network, but we hypothesize that certain parent- and dyadic-level factors make these intergenerational ties more or less resilient to distance. Using wave six of the Survey of Health, Ageing, and Retirement in Europe, we identified whether a living adult child was also a member of the parent's egocentric confidant network. We found that fifty-eight percent of children were excluded from a parent's network and that such network exclusion was more common the greater the distance between parent and child. Random slope logit models indicate that parents with higher education were less sensitive to longer distances when listing a child as a confidant, whereas poor parental health exacerbated distance consequences. We also observed regional differences, with Northern Europeans being more impervious to geographical distance than older adults living in areas of the continent considered most familistic. Together, results point to the contingency of distance, as a number of demographic factors and personal and social resources contribute to the elasticity of parent-child ties across geographic space.

This article considers the interdisciplinary opportunities and challenges of working with digital cultural heritage, such as digitized historical newspapers, and proposes an integrated digital hermeneutics workflow to combine purely disciplinary research approaches from computer science, humanities, and library work. Common interests and motivations of the above-mentioned disciplines have resulted in interdisciplinary projects and collaborations such as the NewsEye project, which is working on novel solutions on how digital heritage data is (re)searched, accessed, used, and analyzed. We argue that collaborations of different disciplines can benefit from a good understanding of the workflows and traditions of each of the disciplines involved but must find integrated approaches to successfully exploit the full potential of digitized sources. The paper is furthermore providing an insight into digital tools, methods, and hermeneutics in action, showing that integrated interdisciplinary research needs to build something in between the disciplines while respecting and understanding each other's expertise and expectations. Peer reviewed

Critics of multiple realizability have recently argued that we should concentrate solely on actual here-and-now realizations that are found in nature. The possibility of alternative, but unactualized, realizations is regarded as uninteresting because it is taken to be a question of pure logic or an unverifiable scenario of science fiction. However, in the biological context only a contingent set of realizations is actualized. Drawing on recent work on the theory of neutral biological spaces, the article shows that we can have ways of assessing the modal dimension of multiple realizability that do not have to rely on mere conceivability.

In this article, the Mingei Online Platform is presented as an authoring platform for the representation of social and historic context encompassing a focal topic of interest. The proposed representation is employed in the contextualised presentation of a given topic, through documented narratives that support its presentation to diverse audiences. Using the obtained representation, the documentation and digital preservation of social and historical dimensions of Cultural Heritage are demonstrated. The implementation follows the Human-Centred Design approach and has been conducted under an iterative design and evaluation approach involving both usability and domain experts.

This article examines algorithmic trading and some key failures and risks associated with it, including so-called algorithmic ‘flash crashes’. Drawing on documentary sources, 189 interviews with market participants, and fieldwork conducted at an algorithmic trading firm, we argue that automated markets are characterized by tight coupling and complex interactions, which render them prone to large-scale technological accidents, according to Perrow’s normal accident theory. We suggest that the implementation of ideas from research into high-reliability organizations offers a way for trading firms to curb some of the technological risk associated with algorithmic trading. Paradoxically, however, certain systemic conditions in markets can allow individual firms’ high-reliability practices to exacerbate market instability, rather than reduce it. We therefore conclude that in order to make automated markets more stable (and curb the impact of failures), it is important to both widely implement reliability-enhancing practices in trading firms and address the systemic risks that follow from the tight coupling and complex interactions of markets.

Children's literature studies has been relatively slow in adopting techniques from digital humanities. This article explains a method for digitising, annotating, and analysing texts in xml to investigate the implicit age norms that children's books convey. The case studies are seventeen books by Bart Moeyaert and La Belle Sauvage by Philip Pullman. The analysis of speech distribution, topic modelling, syntactic parsing, and lexical analysis with digital tools adds information about implicit age norms that can support and inspire narrative analyses with close reading.

Interventionism analyses causal influence in terms of correlations of changes under adistribution of interventions. But the correspondence between correlated changes andcausal influence is not obvious. I probe its plausibility with a problem-case involvingvariables related as time derivative (velocity) to integral (position), such that the lattervariable must change given an intervention on the former unless dependencies areintroduced among the testing and controlling interventions. Under the orthodox criteria such interventions will fail to be appropriate for causal analysis. I consider various alternatives, including permitting control interventions to be chancy, restricting the available models and mitigating variation of off-path variables. None of these work. I then present a fourth suggestion which modifies the interventionist criteria in order to permit interventions which can influence other variables than just their own targets. The correspondence between correlated changes and causal influence can thereby saved when dependencies are introduced among such interventions. This modification and the required dependencies, I argue, are perfectly in line with practice and may also assist in a wider class of cases.

The role of employment uncertainty as a fertility driver has previously been studied with a limited set of constructs, leading to inconclusive results. We address this oversight by considering perceived stability of employment and perceived resilience to potential job loss as two key dimensions of employment uncertainty in relation to fertility decision-making. The present study relies on the 2017 Italian Trustlab survey and its employment uncertainty module. We find that perception of resilience to job loss is a powerful predictor of fertility intentions, whereas perception of employment stability has only a limited impact. The observed relationship between resilience and fertility intentions is robust to the inclusion of person-specific risk attitude and does not depend on the unemployment rate or the share of fixed-term contracts in the area of residence. We conclude that the notion of employment uncertainty includes distinct expectations towards the future, which should be considered separately to understand fertility decision-making.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1939406.