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Thinking Otherwise with Children in Cities: A Storying Approach to Co-Researching with Children and Teachers
No full textThis Children in Cities research project examines an approach to storying research that foregrounds collaborative meaning-making between educators and young children in their city. Through exploring how educators and young children might “think otherwise” about teaching, learning, and participation with history, Place noticing and entanglements between humans, more-than-human, and non-humans, three stories and a metaphor surface in the data. Drawing on three stories, metaphor is employed as an analytic and integrative device to deepen interpretation of lived experiences. Central to the methodology is a democratic orientation that seeks to reduce hierarchical boundaries, engaging children aged 3–5 as co-researchers in the selection, interpretation, and representation of stories. This positioning recognizes children as competent participants whose perspectives offer valuable contributions to life learning such as storying Place and taking up socio-historical responsibilities. Findings suggest that such visits with city places can broaden conceptions of fairness in early childhood education, fostering more welcoming and relational approaches to both research and teaching
Evaluating the Fate and Variability of Soil Organic Carbon and Nitrogen Species Under Conservation Practices in the Raccoon River Watershed
No full textThis study evaluates the fate and variability of soil organic carbon (SOC) stocks and nitrogen species using the latest version of the Soil and Water Assessment Tool– Carbon (SWAT-C) and assesses how conservation practices influence their dynamics in the Raccoon River Watershed (RRW). Dominated by intensive agricultural pro- duction, the RRW is a significant contributor of sediment and nutrient loads to local rivers and the Mississippi River. This SWAT-C model simulates the export of SOC and nitrogen species and evaluates their responses under varying management scenarios. Model calibration was performed for streamflow, sediment, nitrate, total nitrogen, and organic carbon with monitoring data at both a sub-basin and the watershed outlet. The SWAT-C model achieved satisfactory to very good performance, with Nash–Sutcliffe efficiency values of 0.76–0.80, coefficients of determination (R2) of 0.78–0.86, and percent bias ranging from –18% to 12%. We assessed the effects of three conservation practices on SOC and nitrogen fate and transport: no-till, residue harvest with cover crop implementation, and residue harvest without cover crops. The SWAT-C results were compared with a historical baseline to quantify changes in the carbon and nitrogen loadings associated with each practice. This study highlights the role of conservation management and provides valuable insights for improving water quality and carbon sustainability in intensively farmed regions
WILD@FIRE2025: Overview of Word-Level Code-Mixed Language Identification in Dravidian Languages
No full textCode-mixing is considered as a linguistic phenomenon that combines several languages into one text. It has now become very common in multilingual societies, especially in digital communication. Word-Level Identification of Languages in Dravidian Languages (WILD) - a Code-mixed Language Identification (CoLI) in Dravidian languages shared task, organized as a part of Forum for Information Retrieval and Evaluation (FIRE) 2025, put forward these challenges to the researchers by asking them to develop models capable of classifying words in code-mixed texts involving Dravidian languages - Tamil, Telugu, Malayalam, Kannada, and Tulu, which are interwoven with English. It poses significant challenges due to the complexity of linguistic structures, mixed-language tokens, and dialectal variations in low-resource languages such as those from the Dravidian family. The participating teams used different methodologies, ranging from traditional Machine Learning (ML) to Deep Learning and transformer-based models to address these challenges. This paper presents the important findings of the task and an overview of the submitted methodologies
Adolescent Math Anxiety: Teachers\u27 Grouping Approach at the Intersection of Multiple Student Identities
No full textMath anxiety represents a substantial barrier to many students’ math learning. In this paper, we apply interdisciplinary perspectives to data on over 13,200 ninth graders and their math teachers from the High School Longitudinal Study. Results suggest that being perceived as dis/abled relates to heightened math anxiety regardless of adolescents’ gender, or race and ethnicity. Our intersectional approach reveals that adolescents’ expressions of math anxiety do not always correspond with gender, racial, and ethnic stereotypes, with Black girls, Black boys, and Latine boys expressing relatively low levels of math anxiety. Finally, consistent with the principles of inclusion and universal design, placing students into groups of mixed ability is the only teacher approach to grouping that does not relate to high levels of math anxiety for any subgroup of students. With intersectionality and interdisciplinariness the pillars of Disability Studies in Education, this study contributes to critical research approaches and policy considerations
Heat Misers, Snow Misers, and Cognitive Misers: The \u27Nukewarm\u27 Perceptions of Nuclear Power
No full textRising energy demand in the United States necessitates alternatives to fossil fuels, yet renewable energy sources alone are insufficient to meet this demand. Nuclear power presents a promising option but faces persistent public hesitancy. This study examines how heuristic-based biases relate to American\u27s risk-benefit perceptions towards nuclear power. Guided by the heuristic-systematic model. Results indicate that competence and affect are related to risk-benefit perceptions, and naturalness shows no relationship with risk perceptions but does correlate with benefit perceptions. Implications highlight the importance of affect-driven communication strategies for nuclear communicators, while also underscoring the need for participatory approaches that foster trust and dialogue. Limitations of sampling and measurement are noted, with recommendations for future research to further examine the interplay of heuristics in shaping public opinion
An Examination of Two Atypical Carbonaceous Chondrites
No full textCarbonaceous chondrites are meteorites that represent ancient Solar System material, and are classified into groups separating different parent bodies. CML 1689 and CML 1723 are two carbonaceous chondrites that appeared atypical to official groups and required further investigation in order to classify. CML 1723 contains an abundance of magnetite grains, porphyritic chondrules, and a lack of CAIs and metals. The fayalite contents of olivine grains and the composition of the magnetite grains are consistent with a CK chondrite. The moderate discernability of chondrules and equilibrated olivine compositions are typical of a type 5 chondrite, representing a moderately metamorphosed meteorite. CML 1723 has subsequently been submitted to the Meteoritical Society as a CK5 chondrite, and is awaiting official approval. CML 1689 contains abundant inclusions such as large chondrules and CAIs, but no metals. The abundance of inclusions, iron-rich minerals, and lack of metals suggests an oxidized CV chondrite, but CML 1689 contains less fayalitic matrix olivines than typical CVs, preventing a simple classification. It has affinities to CKs, CVs, and the proposed CV4 chondrite from MacPherson et al. (2023). CML 1689 has been submitted as a C3 ungrouped and will be the subject of further analysis for a definitive classification
Justice for Animals in Climate Change Integrated Assessment Models
No full textIntegrated assessment models (IAMs) exclude individual non-human animal welfare, despite clear evidence that climate change will harm billions of animals through habitat loss, extreme weather, and ecosystem disruption. We argue that this is a significant moral oversight. Further, incorporating animal welfare into IAMs is technically feasible, using traditional economic methods or novel ones. Crucially, accounting for animal welfare in IAMs need not undermine considerations of justice for humans
Patient Characteristics Associated with Telehealth Use in a Large Federally Qualified Health Center
No full textThe COVID-19 pandemic rapidly expanded telehealth services when in-person care was limited. Using primary care data from a large federally qualified health center in Washington state, this study aimed to: 1) describe trends in telehealth use among adult patients, and 2) provide disaggregated patient characteristic data associated with telehealth use, with a focus on patients speaking Asian Indian languages
Discussion on Housing and Goal 10: Ed Sullivan
No full textEd Sullivan was interviewed on March 18, 2025, by Sy Adler and Andrée Tremoulet.
The content of this interview is audio only with machine-generated captions.
In March of 2025, Portland State University Professor Emeritus Sy Adler and former Adjunct Associate Professor Andrée Tremoulet conducted three audio interviews with leaders instrumental in the formation and implementation of Goal 10 housing policies to capture their views regarding legislative changes, and how they might affect the availability of housing for all Oregonians.https://pdxscholar.library.pdx.edu/planoregon_interviews/1080/thumbnail.jp
The Explored Experiences of Latino Families in the Neonatal Intensive Care Unit
No full textWhile many families experience multiple etiologies of stress during a neonatal intensive care unit (NICU) admission, unique stressors arise for certain groups that are at higher risk for disparities in infant outcomes, including Latino families. The objective of this study was to explore the experiences of Latino families regarding support received in the NICU while their infant was hospitalized to identify ways to enhance the quality of care