The poetics of Arapaho storytelling : From salvage to performance

One of the most widely discussed issues for students of Native American anthropology, literature, linguistics, and ethnopoetics has been the question of how to represent verbal narratives on the page. In the past generation, Dell Hymes and Dennis Tedlock led the way in demonstrating the poetic elements of these narratives, and "poetic" as opposed to prose presentations are now the norm--though this is certainly not uncontested (see Mattina 1987).Not

Equity and Ability Grouping: A Study of Whole-School Practices and Reflections on Vocal Music Education

This co-authored dissertation is a macro-level case study of a public high school tracking system and a micro-level autoethnography from a music educator about vocal music placement practices. The case study sought to comprehensively describe and analyze the characteristics of a tracking system in all core subjects at a single school, including the extent of differentiation of levels, placement practices, student mobility, teacher tracking, and inclusiveness by race, class, and gender. It also used network analysis software to map more than 75,000 connections among students created by their course-taking; it used this to quantitatively identify student communities, which then were analyzed for demographic trends. Paired with the case study, the autoethnography examined the assumptions and placement practices in high school vocal music and in educator preparation programs. The case study found limited student mobility, complex placement practices that differed from one subject area to another, extensive segregation in nearly all subject areas, and limited evidence for teacher tracking. It also revealed several student communities that function as segregated schools-within-a-school. The autoethnography revealed the impact of teachers as evaluator on the leveling and ability grouping practices within vocal music education and specifically highlights bias through the lens of Critical Race Theory. Recommendations for policy reform are provided

Visions for the International Decade of Indigenous Languages 2022-2032

The United Nations General Assembly recently proclaimed the International Decade of Indigenous Languages ( IDIL ) from 2022-2032 to to draw attention to the critical loss of indigenous languages and the urgent need to preserve, revitalize and promote indigenous languages and to take urgent steps at the national and international levels. The Decade is an opportunity to expose and address the severe loss of Indigenous Peoples\u27 languages locally, regionally, and globally. It is a chance for the entire world community to gather together and commit to bringing Indigenous languages back from the brink of dormancy or extinction

Data-quality assessment for digital twins targeting multi-component degradation in industrial internet of things (IIoT)-enabled smart infrastructure systems

In the development of analytics for PHM applications, a lot of emphasis has been placed on data transformation for optimal model development without enough consideration for the repeatability of the measurement systems producing the data. This paper explores the relationship between data quality, defined as the measurement system analysis (MSA) process, and the performance of fault detection and isolation (FDI) algorithms within smart infrastructure systems. This research employs a comprehensive methodology, starting with an MSA process for data-quality evaluation and leading to the development and evaluation of fault detection and isolation (FDI) algorithms. During the MSA phase, the repeatability of a water distribution system’s measurement system is examined to characterise variations within the system. A data-quality process is defined to gauge data quality. Synthetic data are introduced with varying data-quality levels to investigate their impact on FDI algorithm development. Key findings reveal the complex relationship between data quality and FDI algorithm performance. Synthetic data, even with lower quality, can improve the performance of statistical process control (SPC) models, whereas data-driven approaches benefit from high-quality datasets. The study underscores the importance of customising FDI algorithms based on data quality. A framework for instantiating the MSA process for IIoT applications is also suggested. By bridging data-quality assessment with data-driven FDI, this research contributes to the design of digital twins for IIoT-enabled smart infrastructure systems. Further research on the practical implementation of the MSA process for edge analytics for PHM applications will be considered as part of our future research