834 research outputs found
The Black Box of Enrollment Management: The Influence of Academic Capitalism and Values of the Public Good
The study addresses the widening income and racial access gap in higher education resulting from enrollment management teamsâ operationalization of academic capitalism. The study focuses on the local, micro level, emphasizing how enrollment management leadership teams make sense of enrollment management, recognizing that enrollment management and the work of enrollment management stakeholders exist within an organizational space encompassing the values of both public good and academic capitalism. Using a case study methodology and critical sensemaking theory, the research explored how academic capitalism and values of the public good shaped enrollment management leadership teamsâ sensemaking and sensegiving as they enacted decisions, actions, and practices to recruit and admit students. The main conclusion includes the critical role of the EMLTs and its membersâ agency in public good enactments, especially driving the sensemaking process, and a more nuanced and complicated picture between academic capitalism and values of the public good in enrollment management. The study is the first to demonstrate that academic capitalism and the public good can coexist and overlap, in various ways, within the field of enrollment management despite existing literatureâs overwhelming characterization of enrollment management as firmly existing within the space of academic capitalism. Recommendations for colleges and universities include leveraging capitalist tools to drive a public good agenda; using predictive data analytics to have a measured approach to increase access; balancing the use of tuition discounting; investing in hiring organizational actors who can operate with contradictory logics and share public good values; developing key public good metrics; diversifying revenue streams; and for wealthy institutions to be bold in their public good enactments
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Artistry, Aesthetic Experience, and Global Futures in Civilization Game Design: How the ESCAPe Framework as an Ontology Captures an Art Form of the Information Age
Civilization games can depict imaginative and sophisticated perspectives on the future. Yet some scholars have critiqued civilization games for their replication of dominant, limited ideologies. Game designers often learn about design directly or indirectly from frameworks, such as the Mechanics-Dynamics-Aesthetics (MDA) framework which contains a very idiosyncratic definition of aesthetics.
Given that aesthetic thinking can unlock the sociological imagination, the aim of this dissertation was to discover opportunities to expand civilization game design by understanding the aesthetic experience of designers. A qualitative interview study was conducted of 13 game designers who created at least one civilization game based in the future. The interview and analysis had an ontological focus, to better understand how aesthetics fit into the existing puzzle of game design knowledge. The findings showed that designers employ their perspective in game design; this sense of self and perspective is not captured by current ontologies of game design.
Furthermore, designers are limited in their ability to explore the boundaries of civilization games by task complexity, emotionality, and reliance on player experience. Resultantly, they may focus intensely on known aspects of game design in order to deliver a product. The dissertation proposes two primary solutions. Firstly, a game design framework that integrates the self into game design and more clearly delineates the game as an artifact.
Secondly, cultivate truer senses of vision in game design for those who want to push civilization games and games as a whole, while understanding the practical realities of game design. These implications can be used by educators to reconsider game design program curricula, as well as affirm game designersâ pursuit of their own perspective
dacl10k: Benchmark for Semantic Bridge Damage Segmentation
Reliably identifying reinforced concrete defects (RCDs)plays a crucial role
in assessing the structural integrity, traffic safety, and long-term durability
of concrete bridges, which represent the most common bridge type worldwide.
Nevertheless, available datasets for the recognition of RCDs are small in terms
of size and class variety, which questions their usability in real-world
scenarios and their role as a benchmark. Our contribution to this problem is
"dacl10k", an exceptionally diverse RCD dataset for multi-label semantic
segmentation comprising 9,920 images deriving from real-world bridge
inspections. dacl10k distinguishes 12 damage classes as well as 6 bridge
components that play a key role in the building assessment and recommending
actions, such as restoration works, traffic load limitations or bridge
closures. In addition, we examine baseline models for dacl10k which are
subsequently evaluated. The best model achieves a mean intersection-over-union
of 0.42 on the test set. dacl10k, along with our baselines, will be openly
accessible to researchers and practitioners, representing the currently biggest
dataset regarding number of images and class diversity for semantic
segmentation in the bridge inspection domain.Comment: 23 pages, 6 figure
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
The good, the bad, and the bloody. Conceptualisations of menstruation across genders and languages
Menstruation is a particularly prominent aspect of the life of the many bodies that experience it. From menarche in adolescence to menopause in later life, the implications are not only biological and medical, but also social, cultural and political. Myths, religions, cultures, medicine, and scholarship from diverse fields have concerned themselves with this event for decades, indeed centuries, creating the complex interplay that now informs the menstrual experience and discourse. Yet, beyond anthropologically exploring the status of âtabooâ that keeps menstruation hidden, the metaphors in this discourse remain to be fully analysed from a cognitive linguistics perspective. Furthermore, there has been little acknowledgement of gender and linguistic variance within that discourse, particularly of trans individuals and speakers of Arabic and its dialects. There is a wealth of metaphorical expressions that were born within this complex landscape, and that are now used to think and speak about menses, particularly in some types of language and among certain populations.
This project aims to fill this gap as it focuses on uncovering the conceptual metaphors of menstruation that exist in everyday language, while including menstruators and non-menstruators alike, as well as speakers of Arabic and its dialect, using a Conceptual Metaphor Theory-based investigation of these metaphors. For this purpose, a survey of participants is first used to gather data which is examined through a semantic tagger, the Historical Thesaurus, and the Mapping Metaphor online tool. This analysis results in the identification of several conceptual metaphors pertaining to the domains PART OF NATURE or NATURAL PART OF LIFE, SOMETHING DIRTY or UPKEEP, PURIFICATION, A PERIOD OF TIME or A PERIOD OF THE HEALTH CYCLE, A HABIT, BLOOD, BLESSING AND TORMENT, A VISITOR, and THE COLOUR RED. Menstruators and non-menstruators rely on those domains and engage in creative coinages of new expressions to create a linguistic point that is informed by their purposes in communication and from which they are able to communicate exactly what and how they want, whether it is to comply with or to defy convention and taboo. Therefore, the usage of menstrual metaphors, beyond its tabooed background and its reflections of societal constraints, is first and foremost a strategic tool for menstruators in particular to be able to accomplish any communicative goal they have in a manner that they deem safe and suitable
The Potential of Visual ChatGPT For Remote Sensing
Recent advancements in Natural Language Processing (NLP), particularly in
Large Language Models (LLMs), associated with deep learning-based computer
vision techniques, have shown substantial potential for automating a variety of
tasks. One notable model is Visual ChatGPT, which combines ChatGPT's LLM
capabilities with visual computation to enable effective image analysis. The
model's ability to process images based on textual inputs can revolutionize
diverse fields. However, its application in the remote sensing domain remains
unexplored. This is the first paper to examine the potential of Visual ChatGPT,
a cutting-edge LLM founded on the GPT architecture, to tackle the aspects of
image processing related to the remote sensing domain. Among its current
capabilities, Visual ChatGPT can generate textual descriptions of images,
perform canny edge and straight line detection, and conduct image segmentation.
These offer valuable insights into image content and facilitate the
interpretation and extraction of information. By exploring the applicability of
these techniques within publicly available datasets of satellite images, we
demonstrate the current model's limitations in dealing with remote sensing
images, highlighting its challenges and future prospects. Although still in
early development, we believe that the combination of LLMs and visual models
holds a significant potential to transform remote sensing image processing,
creating accessible and practical application opportunities in the field
Generations: Creative Computation, Community, and the Rhetorical Canon
âGenerations: Creative Computation, Community, and the Rhetorical Canonâ investigates how computational poets and artists use the intrinsic rhetoricity of generative computational processes for social critique and community-building, through a renewal of the classical rhetorical canon. Computer-generated poetry and art is often created using the same technological mechanisms (full-stack development, procurement and manipulations of âbig dataâ) as the algorithms and social norms it sets out to critique. These conditions of production provide a unique rhetorical perspective for revisiting the classical rhetorical canonsâinvention, arrangement, style, memory, and delivery. From this vantage point that views classical rhetorical theory in contemporary digital context, I detail ways that computer-generated texts relate to concerns of social critique and enable digital communities. âGenerationsâ demonstrates the rhetorical possibilities and limitations of computer-generated creative texts as artistic correctives in response to specific harms (like neoliberal individualism and data colonialism) of contemporary digital life. It also demonstrates the ways that these texts are created in community with others, a salient feature of the genre that amplifies its capacity for social engagement.Doctor of Philosoph
Iterative musical collaboration as palimpsest: Suite Inversée and The Headroom Project
Suite inversée is a musical work, co-composed by the two authors asynchronously
online by means of file transfer alone and digitally presented using a self-made web
app called The Headroom Project. The Headroom Project mediates the compositional
project during creation as well as allowing the listener to browse a historical thread
that weaves through the developmental process: through this app, each audio file that
was shared between the two composers can be heard and considered both in and out
of the context of its creation. The framework of the project provided the opportunity
for the authors to reflect on issues of remote digital collaboration and the palimpsest
nature of a work revealed in varying stages of evolution through a novel mode of
presentation. This paper discusses the mode of creation by situating it within narratives
of composition and technology
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