The ArgumentThe societal context within which science is pursued generally acts as a productive force in the generation of knowledge. To analyze this action it is helpful to consider particular modes of mediation through which societal concerns are projected into the very local and esoteric concerns of a particular domain of research. One such mode of mediation occurs through material systems. Here I treat two such systems – the steam engine and the electric telegraph – in the natural philosophy of (...) William Thomson (Lord Kelvin).The steam engine illustratesconceptualmediation. It simultaneously instantiates “labor value” in political economy and “work” in engineering mechanics, thereby identifying the two concepts in the region of their common reference. The partial identification carries with it a structural analogy between a network of concepts from political economy and a similar network in natural philosophy, providing a potent heuristic for the reformulation and further development of dynamics.The electric telegraph illustratesmethodologicalmediation. It projects the interests of engineering and industry into the interests of electromagnetic theory and vice versa, thereby establishing, in Thomson's view, a Baconian unity of truth and utility. As the common reference of theory and practice, the telegraph locates the truth of theoretical knowledge in its utility and the utility of practical knowledge in its truth.These particular cases of conceptual and methodological mediation indicate how the local practices, concepts, and interests of a research specialty, or subculture, draw on and are adapted to those of the larger culture within which they develop. Thus the analysis of mediation leads to an ecological model of the social construction of scientific knowledge. (shrink)

ABSTRACT An overview of some of the main modes of making images of natural objects and processes, as they have appeared in the history of science, leads to two main conclusions. First, the dichotomies that have traditionally distinguished, for example, art from science, museums from laboratories, and geometrical from algebraic methods have produced a poverty of understanding of visualization. It is at the intersections of these dichotomies where much of the creative work of science occurs, and it is into those (...) intersections that this Focus section leads us. Second, the section suggests that we need to understand images as arguments. Generalizing, we need to develop a “materialized epistemology” that reunites sensual with ideational knowing. Recent work in the history of science is already pointing the way and producing a dramatically new historiography. (shrink)

The traditional mode of explanation in physics via deduction from partial differential equations is contrasted here with explanation via simulations. I argue that the different technologies employed constitute different languages, which support different sorts of narratives. The narratives that accompany simulations and articulate their meaning are typically historical or natural historical in kind. They explain complex phenomena by growing them rather than by referring them to general laws. Examples of such growth simulations and growth narratives come from the evolution of (...) wave functions in quantum chaos, snowflake formation, and Etruscan genetics. The examples suggest a few concluding remarks on historical explanation. (shrink)

ABSTRACT An overview of some of the main modes of making images of natural objects and processes, as they have appeared in the history of science, leads to two main conclusions. First, the dichotomies that have traditionally distinguished, for example, art from science, museums from laboratories, and geometrical from algebraic methods have produced a poverty of understanding of visualization. It is at the intersections of these dichotomies where much of the creative work of science occurs, and it is into those (...) intersections that this Focus section leads us. Second, the section suggests that we need to understand images as arguments. Generalizing, we need to develop a “materialized epistemology” that reunites sensual with ideational knowing. Recent work in the history of science is already pointing the way and producing a dramatically new historiography. (shrink)

This collection addresses a post-WWII shift in the hierarchy of scientific explanations, where the highest goal moves from reductionism towards some ...

Physicists regularly invoke universal laws, such as those of motion and electromagnetism, to explain events. Biological and medical scientists have no such laws. How then do they acquire a reliable body of knowledge about biological organisms and human disease? One way is by repeatedly returning to, manipulating, observing, interpreting, and reinterpreting certain subjects—such as flies, mice, worms, or microbes—or, as they are known in biology, “model systems.” Across the natural and social sciences, other disciplinary fields have developed canonical examples that (...) have played a role comparable to that of biology’s model systems, serving not only as points of reference and illustrations of general principles or values but also as sites of continued investigation and reinterpretation. The essays in this collection assess the scope and function of model objects in domains as diverse as biology, geology, and history, attending to differences between fields as well as to epistemological commonalities. Contributors examine the role of the fruit fly Drosophila and nematode worms in biology, troops of baboons in primatology, box and digital simulations of the movement of the earth’s crust in geology, and meteorological models in climatology. They analyze the intensive study of the prisoner’s dilemma in game theory, ritual in anthropology, the individual case in psychoanalytic research, and Athenian democracy in political theory. The contributors illuminate the processes through which particular organisms, cases, materials, or narratives become foundational to their fields, and they examine how these foundational exemplars—from the fruit fly to Freud’s Dora—shape the knowledge produced within their disciplines. Contributors Rachel A. Ankeny Angela N. H. Creager Amy Dahan Dalmedico John Forrester Clifford Geertz Carlo Ginzburg E. Jane Albert Hubbard Elizabeth Lunbeck Mary S. Morgan Josiah Ober Naomi Oreskes Susan Sperling Marcel Weber M. Norton Wise. (shrink)