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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.

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.

This article pursues a translational approach to the securitization of migration. It argues that sociotechnical processes of identification at the border can be conceived of as translations into legible identities of individuals who are unknown to authorities. The article contributes to the materiality debate on securitization across Critical Security Studies (CSS) and Science and Technology Studies (STS) by answering the call to conduct empirical explorations of security, and by revisiting the potential of the early sociology of translation (i.e. actor-network theory) to account for the identification of border crossers. Data collection was conducted at four identification facilities in the Hellenic Republic. Three sets of implications for the CSS-STS debate on the materiality of securitization are discussed. First, a translational approach can replace a representational understanding of identity with a performative apprehension of identification. Second, adopting a translational approach leads to acknowledge that the identification encounter is mediated by multiple, heterogeneous actors. It thus helps to open technological black boxes and reveal the key role of material qualities, affordances and limitations of artefacts. Third, a translational approach to the securitization of migration can help advance the field of ‘alterity processing’ by appreciating the de facto re-arrangements of institutional orders elicited by techno-political alignments with global security regimes.

International audience; Large scale cultural heritage datasets and computational methods for the humanities research framework are the two pillars of Digital Humanities, a research field aiming to expand humanities studies beyond specific sources and periods to address macroscope research questions on broad human phenomena. In this regard, the development of machine-readable semantically enriched data models based on a cross-disciplinary "language" of phenomena is critical for achieving the interoperabil-ity of research data. This contribution reports, documents, and discusses the development of a model for the study of reading experiences as part of the EU JPI-CH project Reading Europe Advanced Data Investigation Tool (READ-IT). Through the discussion of the READ-IT ontology of reading experience, this contribution will highlight and address three challenges emerging from the development of a conceptual model for the support of research on cultural heritage. Firstly, this contribution addresses modelling for multidisciplinary research. Secondly, this work addresses the development of an ontology of reading experience, under the light of the experience of previous projects, and of ongoing and future research developments. Lastly, this contribution addresses the validation of a conceptual model in the context of ongoing research, the lack of a consolidated set of theories and of a consensus of domain experts.

Digital Libraries (DLs), especially in the Cultural Heritage domain, are rich in narratives. Every digital object in a DL tells some kind of story, regardless of the medium, the genre, or the type of the object. However, DLs do not offer services about narratives, for example it is not possible to discover a narrative, to create one, or to compare two narratives. Certainly, DLs offer discovery functionalities over their contents, but these services merely address the objects that carry the narratives (e.g. books, images, audiovisual objects), without regard for the narratives themselves. The present work aims at introducing narratives as first-class citizens in DLs, by providing a formal expression of what a narrative is. In particular, this paper presents a conceptualisation of the domain of narratives, and its specification through the Narrative Ontology (NOnt for short), expressed in first-order logic. NOnt has been implemented as an extension of three standard vocabularies, i.e. the CIDOC CRM, FRBRoo, and OWL Time, and using the SWRL rule language to express the axioms. On the basis of NOnt, we have developed the Narrative Building and Visualising (NBVT) tool, and applied it in four case studies to validate the ontology. NOnt is also being validated in the context of the Mingei European project, in which it is applied to the representation of knowledge about Craft Heritage.

AbstractProminent among the social developments that the web 2.0 has facilitated is digital social reading (DSR): on many platforms there are functionalities for creating book reviews, ‘inline’ commenting on book texts, online story writing (often in the form of fanfiction), informal book discussions, book vlogs, and more. In this article, we argue that DSR offers unique possibilities for research into literature, reading, the impact of reading and literary communication. We also claim that in this context computational tools are especially relevant, making DSR a field particularly suitable for the application of Digital Humanities methods. We draw up an initial categorization of research aspects of DSR and briefly examine literature for each category. We distinguish between studies on DSR that use it as a lens to study wider processes of literary exchange as opposed to studies for which the DSR culture is a phenomenon interesting in its own right. Via seven examples of DSR research, we discuss the chosen approaches and their connection to research questions in literary studies.

Recent studies have shown higher uncertainty to be associated with fertility decline. This study considers the role of social trust as a coping mechanism when general uncertainty increases. We analyse the fertility data of Italian provinces from 2004 to 2013, thereby incorporating the period of economic recession, which unexpectedly and exogenously increased uncertainty across the population. We find a robust and significantly positive impact of social trust on fertility, which is stronger among younger age groups. Moreover, we find that the buffer effect of trust decreases with the level of public childcare provision, suggesting that low trust endowments may be counterbalanced through public policy.

AbstractMany believe that the quality of a scientific publication is as good as the science it cites. However, quantifications of how features of reference lists affect citations remain sparse. We examined seven numerical characteristics of reference lists of 50,878 research articles published in 17 ecological journals between 1997 and 2017. Over this period, significant changes occurred in reference lists’ features. On average, more recent papers have longer reference lists and cite more high Impact Factor papers and fewer non-journal publications. We also show that highly cited articles across the ecological literature have longer reference lists, cite more recent and impactful references, and include more self-citations. Conversely, the proportion of ‘classic’ papers and non-journal publications cited, as well as the temporal span of the reference list, have no significant influence on articles’ citations. From this analysis, we distill a recipe for crafting impactful reference lists, at least in ecology.

In this paper, we will explore the theme of the documentation of 3D cultural heritage assets, not only as entire artefacts but also including the interesting features of the object from an archaeological perspective. Indeed, the goal is supporting archaeological research and curation, providing a different approach to enrich the documentation of digital resources and their components with corresponding measurements, combining semantic and geometric techniques. A documentation scheme based on CIDOC, where measurements on digital data have been included extending CIDOC CRMdig, is discussed. To annotate accurately the components and features of the artefacts, a controlled vocabulary named Cultural Heritage Artefact Partonomy (CHAP) has been defined and integrated into the scheme as a SKOS taxonomy to showcase the proposed methodology. CHAP concerns Coroplastic, which is the study of ancient terracotta figurines and in particular the Cypriot production. Two case studies have been considered: the terracotta statues from the port of Salamis and the small clay statuettes from the Ayia Irini sanctuary. Focussing both on the artefacts and their digital counterparts, the proposed methodology supports effectively typical operations within digital libraries and repositories (e.g. search, part-based annotation), and more specific objectives such as the archaeological interpretation and digitally assisted classification, as proved in a real archaeological scenario. The proposed approach is general and applies to different contexts, since it is able to support any archaeological research where the goal is an extensive digital documentation of tangible findings including quantitative attributes.

Cultural heritage management is a multiple-perspective enterprise where several disciplines and practices contribute to successful dissemination and communication. Digital data in support of cultural heritage management are addressed by the digital curation process, which has been emerging to account for the diversity of disciplinary communities and cultural heritage organizations. Digital curation addresses the diversity of participating skills and practices by working on the relationship between the cultural heritage objects and their digital counterparts. In particular, the innumerable initiatives for providing access to cultural heritage data are ideally coordinated by digital curation and are part of the process since the beginning. However, some thorough reflections on its role and implementation in cultural heritage institutions yet lack. In this paper, we provide a survey of the digital curation process, by unpacking the component curatorial tasks, with the solutions that have been proposed in the literature and in the application projects to account for the multiple perspectives at hand.