654 research outputs found
Displacement and the Humanities: Manifestos from the Ancient to the Present
This is the final version. Available on open access from MDPI via the DOI in this recordThis is a reprint of articles from the Special Issue published online in the open access journal Humanities (ISSN 2076-0787) (available at: https://www.mdpi.com/journal/humanities/special_issues/Manifestos Ancient Present)This volume brings together the work of practitioners, communities, artists and other researchers from multiple disciplines. Seeking to provoke a discourse around displacement within and beyond the field of Humanities, it positions historical cases and debates, some reaching into the ancient past, within diverse geo-chronological contexts and current world urgencies. In adopting an innovative dialogic structure, between practitioners on the ground - from architects and urban planners to artists - and academics working across subject areas, the volume is a proposition to: remap priorities for current research agendas; open up disciplines, critically analysing their approaches; address the socio-political responsibilities that we have as scholars and practitioners; and provide an alternative site of discourse for contemporary concerns about displacement. Ultimately, this volume aims to provoke future work and collaborations - hence, manifestos - not only in the historical and literary fields, but wider research concerned with human mobility and the challenges confronting people who are out of place of rights, protection and belonging
The Politics of Platformization: Amsterdam Dialogues on Platform Theory
What is platformization and why is it a relevant category in the contemporary political landscape? How is it related to cybernetics and the history of computation? This book tries to answer such questions by engaging in multidisciplinary dialogues about the first ten years of the emerging fields of platform studies and platform theory. It deploys a narrative and playful approach that makes use of anecdotes, personal histories, etymologies, and futurable speculations to investigate both the fragmented genealogy that led to platformization and the organizational and economic trends that guide nowadays platform sociotechnical imaginaries
Mothers who listen with more than ears: The phenomenological experience of the non-verbal communication between mothers and their child with complex cerebral palsy
In England, every 1000 babies born 1 will be left with complex cerebral palsy affecting all limbs and internal organs. Of those children by age 12, 43% will have no consistent way to communicate with the world. Empirically, many mothers of these children self-report that they can communicate effectively with their children in these cases in a way that possibly only the mother understands. Understanding the mother’s experience of living with a complex cerebral palsy non-verbal child is important for professionals and the society that supports them.
The aim of this research is not to prove or disprove this phenomenon but rather to explore the lived experience of mothers with disabled non-verbal cerebral palsy children, validating and giving a voice to an otherwise isolated abnormal form of mothering.
A homogenous sample was collected made up of 8 mothers who had non-verbal complex cerebral palsy as a result of Hypoxic Ischemic Encephalopathy at birth. The age range of the children was not > 3 and not <16. Interviews took place on a video link, semi-structured interviews were done and the six stages of a Heuristic Inquiry were used to analyse the transcribed data.
The results produced 7 universal themes: ‘The Choice to Communicate,’ ‘Communication Over Time’, Impediments to communication’, ‘Certainty and Uncertainty’, ‘Embodied Communication’, ‘Being Towards Communication’, and ‘Being in the World with Others’. These themes capture the essence of the experience that mothers have when confronted by a baby that is diagnosed with multiple disabilities and unable to verbalise. The findings that emerged are fundamentally existential and they are examined through an existential lens
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Health Condition Evolution for Effective Use of Electronic Records: Knowledge Representation, Acquisition, and Reasoning
Smart City initiatives aim to enhance the effective management of resources while providing quality services to citizens. Central to these initiatives is the use of large-scale datasets that enable intelligent analytics and reasoning components in support of resource optimisation and service provision. Recently, there has been a growing interest in aspects of smart living, particularly due to the increasing adoption and use of Electronic Health Records (EHR).
A Smart City can introduce intelligent systems to support the usage of EHR to improve emergency response services. For instance, data derived from EHR is used in primary emergency care, as a component of emergency decision support systems and for monitoring public health. However, the delivery of healthcare information to emergency bodies must be balanced against the concerns related to citizens’ privacy. Besides, emergency services face challenges in interpreting this data; the heterogeneity of sources and the large amount of available information represents a significant barrier.
This thesis investigates the use of EHR for deriving useful information about people requiring assistance during an emergency, focusing on making rich data accessible to emergency services while minimising the amount of exchanged information. To perform this task, an intelligent system needs to estimate the probability that a potentially relevant condition mentioned in a health record is still valid at the time of the emergency. During our research work, we followed a knowledge engineering approach and developed the required knowledge components to support the intelligent delivery of relevant health information about people involved in an emergency situation. These components, which include a knowledge component for representation and reasoning, and a novel knowledge base modelling the evolution of a large number of health conditions, form the basis of CONRAD, a system which is able to support effectively decision-making in an emergency scenario
Machine Learning Algorithm for the Scansion of Old Saxon Poetry
Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools
deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We
implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon
and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and
we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm
reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested
the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that
the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input
verses
Creating immersive, play-anywhere handheld augmented reality stories, through remote user testing
This thesis outlines new instances of Extended Reality (XR) stories as well as associated user studies with them, to create more immersive story experiences delivered at a user’s choice of location through a mobile phone. This extends prior work on Location Based Experiences (LBEs), which have typically been designed to offer a game or story at a pre-determined location. A play-anywhere experience offers potential to open up LBEs to a wider audience, as well as to those may prefer to take part individually or closer to home, such attitude shifts becoming increasingly more common. The current research adopted an in the wild approach combining practice, studies and theory, with most user data being collected remotely. Each story application developed is subsequently referred to as an app, with each app offering a bespoke story incorporating Augmented Reality (AR) features, to better bring users’ location inline with the narrative. Testing the apps across various locations matched their intended use, and resulted in new guidelines for both incorporating AR into such LBEs, as well as for conducting remote user studies. A final app offered a site-specific curated story, with all study participants taking part under similar conditions at the same location, the ability to observe them using the app providing additional insights. The story apps used available local map data alongside Handheld Augmented Reality (HAR), to overlay interactable virtual objects on top of the physical environment, and visible on the phone’s display. Guidelines from related methodologies were used to better allow for the variety of factors that might influence different users’ immersion and engagement. These included the implementation of the AR features, the story itself, real world activity, and personal preferences including onboarding requirements. The approach taken contributed a reverse methodology to a lot of related research, that would typically begin with laboratory testing before moving to public spaces. User studies with the five mobile apps contributed guidelines for such experiences, that could benefit both practitioners and researchers in related fields. In the later case, a need was identified to develop new research tools specifically suited to the subtleties of handheld play-anywhere LBEs, such issues explored within the apps tested. The guidelines identified for offering more effective XR LBEs were also implemented in the creation of a new open source Unity project, called Map Story Engine. This offers a tool to test new features, as well as providing a fully customisable template for practitioners to author their own play-anywhere HAR stories and games
Endogenous measures for contextualising large-scale social phenomena: a corpus-based method for mediated public discourse
This work presents an interdisciplinary methodology for developing endogenous measures of group membership through analysis of pervasive linguistic patterns in public discourse. Focusing on political discourse, this work critiques the conventional approach to the study of political participation, which is premised on decontextualised, exogenous measures to characterise groups. Considering the theoretical and empirical weaknesses of decontextualised approaches to large-scale social phenomena, this work suggests that contextualisation using endogenous measures might provide a complementary perspective to mitigate such weaknesses.
This work develops a sociomaterial perspective on political participation in mediated discourse as affiliatory action performed through language. While the affiliatory function of language is often performed consciously (such as statements of identity), this work is concerned with unconscious features (such as patterns in lexis and grammar). This work argues that pervasive patterns in such features that emerge through socialisation are resistant to change and manipulation, and thus might serve as endogenous measures of sociopolitical contexts, and thus of groups.
In terms of method, the work takes a corpus-based approach to the analysis of data from the Twitter messaging service whereby patterns in users’ speech are examined statistically in order to trace potential community membership. The method is applied in the US state of Michigan during the second half of 2018—6 November having been the date of midterm (i.e. non-Presidential) elections in the United States. The corpus is assembled from the original posts of 5,889 users, who are nominally geolocalised to 417 municipalities. These users are clustered according to pervasive language features. Comparing the linguistic clusters according to the municipalities they represent finds that there are regular sociodemographic differentials across clusters. This is understood as an indication of social structure, suggesting that endogenous measures derived from pervasive patterns in language may indeed offer a complementary, contextualised perspective on large-scale social phenomena
General Course Catalog [2022/23 academic year]
General Course Catalog, 2022/23 academic yearhttps://repository.stcloudstate.edu/undergencat/1134/thumbnail.jp
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