This paper details the experience of planning, orchestrating, teaching, and participating in a writing-intensive, team-taught, introductory philosophy class designed to expand the diversity of voices included in philosophical study. Accordingly, this article includes the various perspectives of faculty, TAs, and students in the class. Faculty authors discuss the administrative side of the course, including its planning and goals, its texts and structure, its working definition of “philosophy,” its balance of canonical and non-canonical texts, the significant resistance met in getting the (...) course approved, the complex pedagogical difficulties that attend teaching non-canonical texts, the motivation and execution of the course’s writing-intensive dimension, and a summary of student evaluations of the course. The TA authors reflect on the high level of student engagement and interest compared to other introductory philosophy courses, the perception that students found the material highly relevant to their own lives, and the capacity of the material to bring about philosophical insight for the instructors in the class. The student author offers a favorable account of the class and remarks on how the structure of the course aided the accessibility and relevance of the texts. (shrink)

Philosophy of science has characterized scientific knowledge as fundamentally propositional . This account leads to an inability to recognize and articulate the significant role of non-propositional, visual representation in the practice of science. Toward the development of a more productive framework for understanding visual representation in science, the present study critiques the standard philosophical view, reviews the literature on visual representation in science, and examines the scientific case of neuroscience. Specifically, the study looks at current research known as "functional mapping (...) of the human brain" which uses neuroimaging technologies such as positron emission tomography in the localization of particular functions in the human brain. This case study suggests that, contrary to previous accounts in philosophy of science, visual representation and propositional representation work together as parallel, interacting, interwoven practices in the discovery/construction of scientific knowledge. Visual representations are not reduced to--translated into--linguistic and mathematical propositions, but instead are used in their multidimensional forms. The present study focuses on the external, materialized visual representations used in the practice of science, as opposed to internal, mental images that might be studied by cognitive psychology. Several hypotheses are proposed which describe aspects of the role of these visual representations in the practice of science. These include the following: a primary function of visual representation is the representation of structure which is made possible by the use of actual space in the process of visual representation; visual comparisons among visual representations of real objects and processes, visual representations of theoretical models, and visual representations of integrations of the two are used to assess the fit of the theoretical models to the real objects and processes; the construction of visual prototypes or prototypical visual representations of objects of scientific research are used to categorize and stabilize--hold stationary for the purposes of scientific examination--such objects; and the construction of material models make it possible for scientists to interact with and/or manipulate materialized structures as representations of real systems. (shrink)

Visualizations used in the practice of neuroscience, as one example of a scientific practice, can be sorted according to whether they represent (A) actual things, (B) theoretical models, or (C) some integration of these two. In this paper I hypothesize that an assessment of a chain of visual representations from (A) through (C) to (B) (and back again) is used, as part of the practice of scientific judgment, to assess the adequacy of the "working fit" between the theoretical model and (...) the actual thing or process that the model is intended to explain. (shrink)

Visualizations used in the practice of neuroscience, as one example of a scientific practice, can be sorted according to whether they represent actual things, theoretical models, or some integration of these two. In this paper I hypothesize that an assessment of a chain of visual representations from through to is used, as part of the practice of scientific judgment, to assess the adequacy of the "working fit" between the theoretical model and the actual thing or process that the model is (...) intended to explain. (shrink)