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Women in Baseball: The Decision Between Collegiate Baseball or Softball
Baseball is both a site of struggle for women as they actively resist gender norms and rebel against the gendered institution of baseball as an exclusively male space, and a place to find community and form identities playing the game they love. This dichotomy underlies the choice female baseball players make to continue down their chosen path or conform to societal expectations and switch to softball. However, the factors that contribute to this decision are underexplored. Therefore, an investigation into female baseball players and why they ultimately choose to play the “girls” (softball) or “boys” (baseball) version of a sport in college provides a unique opportunity to link various fields of sociological work (sports, gender, higher education) together to better understand how sports are a site for the reproduction and breaking of gender roles and inequalities. This was accomplished through semi-structured interviews with 10 female college baseball players and 11 female college softball players who are also involved in women’s baseball. Through this study, I find that women collegiate ball players are motivated by childhood dreams and long-term goals, the critical role of visibility and representation in encouraging more women to play baseball, male role models frequently get credited with encouraging baseball participation while female role models often suggest softball as a more practical alternative for players, and, finally, that playing collegiate softball was at times a strategic choice for players, rather than what based off of love of the game
\u3cem\u3eStories from Home\u3c/em\u3e: Contextualizing Phonics through Immigration, Storytelling, and Belonging
\u3cem\u3eQhia Peb Tus Kheej\u3c/em\u3e: HMong Resistance using Community-Based Educational Spaces in Vietnam
Statistical Analysis Of Multi-Endpoint Phenotypic Screening Increases Sensitivity Of Planarian Neurotoxicity Testing
There is an urgent need for high-throughput screening (HTS) models to replace, refine, and/or reduce (“3Rs”) vertebrate toxicity testing. Replacing in vivo animal studies is challenging for neurotoxicity and developmental neurotoxicity (DNT), where the functional relevancy of adverse outcomes needs to be assessed on the whole organism. We previously screened the NTP 87-compound library (NTP87), consisting of known and suspected developmental neurotoxicants, and showed that planarian HTS can identify known (developmental) neurotoxicants. Because analysis methods can impact screening results, and our original analysis used the lowest-observed-effect-level (LOEL) only, we hypothesized that the use of state-of-the-art statistical analysis would increase the sensitivity of planarian HTS to identify neurotoxicity and DNT. Using the original NTP87 planarian data, we quantified 8 additional behavioral endpoints for a total of 26 readouts on days 7 and 12 of exposure, evaluated at 5 log-scale concentrations (10 nM–100 µM). Benchmark concentration (BMC) modeling replaced LOEL analysis. We also calculated a concentration-independent multi-readout summary measure using weighted Aggregate Entropy, providing insight into systems-level toxicity. Finally, we compared the planarian BMC data to in vitro and developing zebrafish data from independent screens of the NTP87 library that were analyzed using the same BMC pipeline. Planarian and developing zebrafish screens showed similar sensitivity. Regenerating planarian hits helped correctly identify known neurotoxicants of the NTP87 library. Hierarchical clustering showed that organismal, neuron outgrowth, and neuron firing models were the main contributors to the NTP87 DNT battery’s information content, emphasizing their relevance for DNT testing
Conducting Impactful Research At Primarily Undergraduate Institutions
Primarily undergraduate institutions (PUIs) are significant academic employers of Ph.D. recipients. Even though the focus of PUIs is undergraduate education, many Ph.D. faculty who teach at these institutions are research-active and conduct impactful work. Unfortunately, it has been our experience that many at funding agencies and research-intensive institutions hold the view that this is not the case. In this piece, 16 faculty members share their experiences and approaches to conducting research at PUIs
Making Sense of Anarchism: Science, Nature, and the Local in the Utopias of Ricardo Mella and Pierre Quiroule
This article uses a detailed analysis of ideas about nature and science in the utopian works of Spanish anarchist Ricardo Mella and Argentine anarchist Pierre Quiroule, separated by roughly twenty-five years and over five thousand miles, to explore what is often called the “localization” of anarchist ideology. Rather than search for differences in their ideas that stem from some sort of quintessential Argentine or Spanish—or on a more granular level porteño or barcelonés—identity, I examine how these two authors took ideas from a shared anarchist imaginary and connected them to local events to make them relevant to themselves and their readers
Dance Studies
This chapter focuses on dance studies. Dance studies is a relatively new field of scholarship that has crystallized over the past four decades. As a fundamentally interdisciplinary field, its methods and practices reflect its disparate influences. These influences are rooted in the humanities and social sciences, and extend into the fields of education, philosophy, and sciences
Change Blindness, Subset Segmentation, And The Perceptual Underestimation Of Subset Numerosity
How well can humans perceptually estimate subsets of collections of differently colored dots? People can simultaneously evaluate the numerosity of at least two color-defined subsets. But when equal (largish) numbers of light gray and white dots are presented on a medium-gray background, there appear to be fewer white dots than gray dots. The present paper presents 6 experiments designed to test the hypothesis that these behaviors are due to figure-ground segmentation based on color similarity, which can lead to incomplete segmentation, and thus perceptual underestimation of foregrounded dots. Ironically, subset matching is most accurate for sets of dots that are difficult to segment, such as light gray among white. This is demonstrated using a color-change detection task to show that (1) accurate subset estimation is only accomplished for sets that resist foreground selection, and (2) even stereoscopically backgrounded white dots fail to be segmented (i.e., are at chance for color change detection) when a frontal plane of gray dots is more successfully segmented. Although explicit attentional biasing is shown to shift performance between dots differing in chromatic color, it does not improve performance at selecting light gray dots among white. It is also shown that the perceptual underestimation of supersets of mixed colors may be consistent with combining an underestimated foreground with an accurately estimated background