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A. Shanti James [3]A. James [1]
  1. Moral Grandstanding in Public Discourse: Status-Seeking Motives as a Potential Explanatory Mechanism in Predicting Conflict.Joshua B. Grubbs, Brandon Warmke, Justin Tosi, A. Shanti James & W. Keith Campbell - 2019 - PLoS ONE 14 (10).
    Public discourse is often caustic and conflict-filled. This trend seems to be particularly evident when the content of such discourse is around moral issues (broadly defined) and when the discourse occurs on social media. Several explanatory mechanisms for such conflict have been explored in recent psychological and social-science literatures. The present work sought to examine a potentially novel explanatory mechanism defined in philosophical literature: Moral Grandstanding. According to philosophical accounts, Moral Grandstanding is the use of moral talk to seek social (...)
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  2. Moral grandstanding and political polarization: A multi-study consideration.Joshua B. Grubbs, Brandon Warmke, Justin Tosi & A. Shanti James - 2020 - Journal of Research in Personality 88.
    The present work posits that social motives, particularly status seeking in the form of moral grandstanding, are likely at least partially to blame for elevated levels of affective polarization and ideological extremism in the U.S. In Study 1, results from both undergraduates (N = 981; Mean age = 19.4; SD = 2.1; 69.7% women) and a cross-section of U.S. adults matched to 2010 census norms (N = 1,063; Mean age = 48.20, SD = 16.38; 49.8% women) indicated that prestige-motived grandstanding (...)
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  3. Moral grandstanding, narcissism, and self-reported responses to the COVID-19 crisis.Joshua B. Grubbs, A. Shanti James, Brandon Warmke & Justin Tosi - 2022 - Journal of Research in Personality 97 (104187):1-10.
    The present study aimed to understand how status-oriented individual differences such as narcissistic antagonism, narcissistic extraversion, and moral grandstanding motivations may have longitudinally predicted both behavioral and social media responses during the early stages of the COVID-19 pandemic. Via YouGov, a nationally representative sample of U.S. adults was recruited in August of 2019 (N = 2,519; Mage = 47.5, SD = 17.8; 51.4% women) and resampled in May of 2020, (N = 1,533). Results indicated that baseline levels of narcissistic antagonism (...)
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  4. Developing the Quantitative Histopathology Image Ontology : A case study using the hot spot detection problem.Metin Gurcan, Tomaszewski N., Overton John, A. James, Scott Doyle, Alan Ruttenberg & Barry Smith - 2017 - Journal of Biomedical Informatics 66:129-135.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection with (...)
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