Inheriting library cards to Babel and Alexandria: Contemporary metaphors for the digital library

Librarians have been consciously adopting metaphors to describe library concepts since the nineteenth century, helping us to structure our understanding of new technologies. We have drawn extensively on these figurative frameworks to explore issues surrounding the digital library, yet very little has been written to date which interrogates how these metaphors have developed over the years. Previous studies have explored library metaphors, using either textual analysis or ethnographic methods to investigate their usage. However, this is to our knowledge the first study to use bibliographic data, corpus analysis, qualitative sentiment weighting and close reading to study particular metaphors in detail. It draws on a corpus of over 450 articles to study the use of the metaphors of the Library of Alexandria and Babel, concluding that both have been extremely useful as framing metaphors for the digital library. However, their longstanding use has seen them become stretched as metaphors, meaning that the field’s figurative framework now fails to represent the changing technologies which underpin contemporary digital libraries

Conceptualising population health: from mechanistic thinking to complexity science

The mechanistic interpretation of reality can be traced to the influential work by René Descartes and Sir Isaac Newton. Their theories were able to accurately predict most physical phenomena relating to motion, optics and gravity. This paradigm had at least three principles and approaches: reductionism, linearity and hierarchy. These ideas appear to have influenced social scientists and the discourse on population health. In contrast, Complexity Science takes a more holistic view of systems. It views natural systems as being 'open', with fuzzy borders, constantly adapting to cope with pressures from the environment. These are called Complex Adaptive Systems (CAS). The sub-systems within it lack stable hierarchies, and the roles of agency keep changing. The interactions with the environment and among sub-systems are non-linear interactions and lead to self-organisation and emergent properties. Theoretical frameworks such as epi+demos+cracy and the ecosocial approach to health have implicitly used some of these concepts of interacting dynamic sub-systems. Using Complexity Science we can view population health outcomes as an emergent property of CAS, which has numerous dynamic non-linear interactions among its interconnected sub-systems or agents. In order to appreciate these sub-systems and determinants, one should acquire a basic knowledge of diverse disciplines and interact with experts from different disciplines. Strategies to improve health should be multi-pronged, and take into account the diversity of actors, determinants and contexts. The dynamic nature of the system requires that the interventions are constantly monitored to provide early feedback to a flexible system that takes quick corrections