The book chapter “Social Studies of Knowledge” by David Hess
summarizes some of the major approaches in the sociological study of scientific
knowledge. In describing both
contributions and critiques of various sociological analyses of science, he is
clearly setting up an argument in favor of what he calls “postconstructivist”
ideologies found in critical science studies and cultural studies of science
(which he discusses in the next chapter).
There are many areas I want to comment on, but due to word restrictions,
I will just share some beginning thoughts.
SSK (Sociology of Scientific Knowledge) is described by Hess
as existing somewhere (or many places) in the spectrum of constructivism. A constructivist approach basically would define knowledge,
not as something absolute, rather as something that is formed (via any number
of influences). In the context of SSK, constructivism could connote anything
from the simple or minute influences on knowledge formation as seen in the rituals of a laboratory setting (for example), all the way
to claims of total epistemological relativism, where reality is in entirety
contingent on the ideas of scientists and/or the methods they are using to
know.
Hess rightly argues that there is a value to a
constructivist perspective in understanding how we know in science, and points
out that most people who critique “science studies” (SSK, etc.) lump all of
these studies into the extreme epistemological relativism camp. I have read a number of likewise
inaccurate critiques. In fact, I
believe that many social scientists (anthropologists, etc.) examining knowledge
as a social (cultural, etc.) construction are "realists" to their core. It is the nature of reality that is
troublesome, not falling so easily into static ontological categories, rather
dynamic and contingent.
Even attributing knowledge formation in science to purely
social or institutional conditions (as Hess describes Collins), is to be caught
in the trappings of an ideation of lineal causality. At best, under any one approach to understanding how
knowledge is formed, we offer one conical window into a web of mutually
interacting and impacting systems.
Nonetheless, “opening the black box” is still preferable to the
alternative (accepting the output of a scientific process as prescriptive by
default). In attaining a greater
awareness of the complexity through which we discover (or decide upon) and
ascribe authority to knowledge, we have the possibility of improving the whole
system (or being incredibly manipulative, but that’s another conversation…
:>).
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