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Melissa Jacquart
University of Cincinnati
  1.  42
    Diversity Is Not Enough: The Importance of Inclusive Pedagogy.Melissa Jacquart, Rebecca Scott, Kevin Hermberg & Stephen Bloch-Schulman - 2019 - Teaching Philosophy 42 (2):107-139.
    In philosophy, much attention has rightly been paid to the need to diversify teaching with regard to who teaches, who is taught, and which authors and questions are the focus of study. Less attention, however, has been paid to inclusive pedagogy—the teaching methods that are used, and how they can make or fail to make classes as accessible as possible to the diverse students who enter them. By drawing on experiences from our own teaching as well as research on student-centered, (...)
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    Bearing the Brunt of Structural Inequality: Ontological Labor in the Academy.Ruthanne Crapo, Ann J. Cahill & Melissa Jacquart - 2020 - Feminist Philosophy Quarterly 6 (1).
    Empirical data show that members of underrepresented and historically marginalized groups in academia undertake many forms of undervalued or unnoticed labor. While the data help to identify that this labor exists, they do not provide a thick description of what the experience is like, nor do they offer a framework for understanding the different kinds of invisible labor that are being undertaken. We identify and analyze a distinct, undervalued, and invisible labor that the data have left unnamed and unmeasured: ontological (...)
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    Diversity Is Not Enough: The Importance of Inclusive Pedagogy.Melissa Jacquart, Rebecca Scott, Kevin Hermberg & Stephen Bloch-Schulman - 2019 - Teaching Philosophy 42 (2):107-139.
    In philosophy, much attention has rightly been paid to the need to diversify teaching with regard to who teaches, who is taught, and which authors and questions are the focus of study. Less attention, however, has been paid to inclusive pedagogy—the teaching methods that are used, and how they can make or fail to make classes as accessible as possible to the diverse students who enter them. By drawing on experiences from our own teaching as well as research on student-centered, (...)
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  4.  87
    Teaching Philosophy Graduate Students About Effective Teaching.Melissa Jacquart & Jessey Wright - 2017 - Teaching Philosophy 40 (2):123-160.
    The problem of inadequate professional training for graduate students in teaching and pedagogy has recently come into sharp relief. Pro- viding teacher training for philosophy graduate students through for-credit courses has been recommended as a solution to this problem. This paper provides an overview of the problem, identifies several aims such a course should have, and provides a detailed overview of a course satisfying those aims. By providing a detailed outline of the course, this paper can act as a resource (...)
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  5.  37
    The Dark Galaxy Hypothesis.Michael Weisberg, Melissa Jacquart, Barry Madore & Marja Seidel - 2018 - Philosophy of Science 85 (5):1204-1215.
    Gravitational interactions allowed astronomers to conclude that dark matter rings all luminous galaxies in gigantic halos, but this only accounts for a fraction of the total mass of dark matter believed to exist. Where is the rest? We hypothesize that some of it resides in dark galaxies, pure dark matter halos that either never possessed or have totally lost their baryonic matter. This paper explores methodological challenges that arise due to the nature of observation in astrophysics, and examines how the (...)
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    Learning About Reality Through Models and Computer Simulations.Melissa Jacquart - 2018 - Science & Education 27 (7-8):805-810.
    Margaret Morrison, (2015) Reconstructing Reality: Models, Mathematics, and Simulations. Oxford University Press, New York. -/- Scientific models, mathematical equations, and computer simulations are indispensable to scientific practice. Through the use of models, scientists are able to effectively learn about how the world works, and to discover new information. However, there is a challenge in understanding how scientists can generate knowledge from their use, stemming from the fact that models and computer simulations are necessarily incomplete representations, and partial descriptions, of their (...)
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  7.  27
    Similarity, Adequacy, and Purpose: Understanding the Success of Scientific Models.Melissa Jacquart - 2016 - Dissertation, University of Western Ontario
    A central component to scientific practice is the construction and use of scientific models. Scientists believe that the success of a model justifies making claims that go beyond the model itself. However, philosophical analysis of models suggests that drawing inferences about the world from successful models is more complex. In this dissertation I develop a framework that can help disentangle the related strands of evaluation of model success, model extendibility, and the ability to draw ampliative inferences about the world from (...)
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