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    <title>Notebooks   </title>
    <link>http://bactra.org/notebooks</link>
    <description>Cosma's Notebooks</description>
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  <item>
    <title>Sociology of Science</title>
    <link>http://bactra.org/notebooks/2009/12/25#sociology-of-science</link>
    <description>

&lt;P&gt;Raymond Aron says somewhere that &quot;science is inseparable from the republic
of scholars.&quot;  This is substantially true, though I can imagine odd exceptions.
(R. Crusoe, FRS, could have done astronomy or botany or algebra before meeting
Friday, though I don't think he could have invented them.)  In any event,
science is an activity which groups do vastly better, and easier, than isolated
individuals.  In saying this, I trust I shan't have to defend myself against
suspicion
of &lt;a href=&quot;social-construction-of-reality.html&quot;&gt;social-constructionist&lt;/a&gt;
heresy.  The practical recognition of this truth goes back to the founders of
the first academies during the &lt;a href=&quot;scientific-revolution.html&quot;&gt;scientific
revolution&lt;/a&gt;, and it was explicitly recognized in
the &lt;a href=&quot;enlightenment.html&quot;&gt;Enlightenment&lt;/a&gt;, for instance in
d'Alembert's &quot;Preliminary Discourse&quot; to the &lt;cite&gt;Encyclopedie.&lt;/cite&gt;  An
investigation into science which doesn't recognize, and account for, its social
nature is on all fours with one which doesn't recognize, and account for, the
fact that it produces reliable knowledge, which is to say much like an
investigation of agriculture which doesn't realize it produces food.  These
should be &quot;every schoolchild knows&quot; truths, though sadly they're anything but.

&lt;P&gt;Every schoolchild also knows that differences in social organization don't
completely explain why &lt;a href=&quot;stat-mech.html&quot;&gt;statistical mechanics&lt;/a&gt; is
fruitful, but &lt;a href=&quot;ufos.html&quot;&gt;UFOlogy&lt;/a&gt; is not &amp;mdash; that matter really
is made out of molecules, and people really aren't abducted by aliens, has, to
say the least, something to do with it.  But the sciences started from beliefs
about as wacko as anything today's kooks can produce &amp;mdash;
say, &lt;a href=&quot;alchemy.html&quot;&gt;alchemy&lt;/a&gt; &amp;mdash; but haven't stayed there,
whereas the kooks have, and this deserves explanation.  More: a proper
understanding of this could help
improve &lt;a href=&quot;scientific-method.html&quot;&gt;scientific method&lt;/a&gt;, something
eagerly to be desired.

&lt;P&gt;Of course there are already lots of people engaged in this undertaking;
sociology of science is, in general, more sensible than most scientists
suppose.  (Also more sensible than most of the rest
of &lt;a href=&quot;sociology.html&quot;&gt;sociology&lt;/a&gt;, but that's another story for another
time.)  Even the noise in the &lt;a href=&quot;management.html&quot;&gt;management&lt;/a&gt;
literature recently about &quot;learning organizations&quot; and the like is not
unrelated, and might even be promising.  (On the one hand, lots of problems get
cracked once people see that lots of money could be made from the solution.  On
the other hand, we &lt;em&gt;are&lt;/em&gt; talking about the management witch-doctors.)
There are, however, two potentially fruitful lines of research which nobody, so
far as I know, has bothered to undertake.  One is straightforward comparative
sociology, contrasting genuine intellectual disciplines (including, besides the
natural sciences, things like history or philology) with the half-disciplines,
the pseudosciences, and the &lt;a href=&quot;psychoceramics.html&quot;&gt;simple crackpots&lt;/a&gt;.
The other is to take some of the descriptions of how scientists act and
interact with each other from the existing sociological literature, throw them
on the computer, and see if they produce something which looks like the science
we know; also if they produce the results their authors claim they do.  (My
suspicion is that most of them will not.)

&lt;P&gt;See also:
	&lt;a href=&quot;collective-cognition.html&quot;&gt;Collective Cognition&lt;/a&gt;;
	&lt;a href=&quot;evol-epistem.html&quot;&gt;Evolutionary Epistemology&lt;/a&gt;;
	&lt;a href=&quot;history-of-science.html&quot;&gt;History of Science&lt;/a&gt;;
	&lt;a href=&quot;science.html&quot;&gt;Science&lt;/a&gt;;
	&lt;a href=&quot;scientific-method.html&quot;&gt;Scientific Method&lt;/a&gt;;
	&lt;a href=&quot;scientific-thinking.html&quot;&gt;Scientific Thinking&lt;/a&gt;

&lt;ul&gt;Recommended:
	&lt;li&gt;Arthur Donovan, Larry Laudan and Rachel Laudan (eds.),
&lt;cite&gt;Scrutinizing Science: Empirical Studies of Scientific Change&lt;/cite&gt;
	&lt;li&gt;Ronald N. Giere, &lt;cite&gt;Explaining Science: A Cognitive
Approach&lt;/cite&gt;
	&lt;li&gt;Philip Kitcher
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Advancement of Science: Science without
Legend, Objectivity without Illusions&lt;/cite&gt; [Formal, and at least
semi-plausible if abstract, modeling of just &lt;em&gt;how&lt;/em&gt; messy, &quot;sullied&quot;
social groups, e.g. real scientific disciplines, can achieve genuine cognitive
progress &amp;mdash; can even be more progressive than less sullied ones.  Not so
well-written as Toulmin, but probably closer to his ideas than either of them
would like to admit.]
		&lt;li&gt;&quot;Reviving the Sociology of Science&quot;,
&lt;citE&gt;Philosophy of Science&lt;/cite&gt; &lt;strong&gt;67&lt;/strong&gt; (2000): S33--S44
[&lt;a href=&quot;http://www.jstor.org/pss/188656&quot;&gt;JSTOR&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;Larry Laudan, &lt;cite&gt;Progress and Its Problems&lt;/cite&gt;
	&lt;li&gt;Robert K. Merton, &lt;cite&gt;Sociology of Science&lt;/cite&gt;
	&lt;li&gt;&lt;a href=&quot;http://www-personal.umich.edu/~mejn/&quot;&gt;Mark Newman&lt;/a&gt;
[Many fine papers on co-authorship networks, produced more rapidly than I feel
like updating this notebook]
	&lt;li&gt;Nienke Oomes, &quot;Market Failures in the Economy of Science&quot; [Chapter
in Nienke's dissertation, hopefully appearing soon as a paper]
	&lt;li&gt;Derek J. de Solla Price, &lt;cite&gt;Little Science, Big Science&lt;/cite&gt;
	&lt;li&gt;Mark Risjord, &quot;Scientific Change as Political Action: Franz Boas
and the Anthropology of
Race&quot;, &lt;a href=&quot;http://dx.doi.org/10.1177/0048393106296541&quot;&gt;&lt;cite&gt;Philosophy of
the Social Sciences&lt;/cite&gt; &lt;strong&gt;37&lt;/strong&gt; (2007): 24--45&lt;/a&gt; [This is an
interesting case-study of how some intellectual work can be at once properly
scientific &lt;em&gt;and&lt;/em&gt; carry ethical and political implications.  However, I
think that Risjord is actually not very astute about the philosophy here.  (I
realize it takes some gall for me to say this.)  On the one hand, what made
Boas's work &lt;em&gt;compelling&lt;/em&gt; was that it appealed to &lt;em&gt;purely epistemic
considerations&lt;/em&gt;, and did so &lt;em&gt;validly&lt;/em&gt;.  The motives which may or may
not have impelled Boas to undertake this work were simply irrelevant.  For that
matter, it does not &lt;em&gt;compel&lt;/em&gt; anyone to take up any position on the
ethical worth of human beings.  Someone who had, as a fundamental part of their
system of values, a belief that the races have an intrinsic order of merit
could, with perfect consistency, accept all of Boas's arguments.  I think any
such person would be &lt;em&gt;crazy&lt;/em&gt;, but sputtering incredulity is not a
logical argument.]
	&lt;li&gt;Camille Roth and Paul Bourgine [Commented on
&lt;a href=&quot;http://bactra.org/weblog/368.html&quot;&gt;elsewhere&lt;/a&gt;]
		&lt;ul&gt;
		&lt;li&gt;&quot;Binding Social and Cultural Networks: A Model&quot;, &lt;a
href=&quot;http://arxiv.org/abs/nlin.AO/0309035&quot;&gt;nlin.AO/0309035&lt;/a&gt;
		&lt;li&gt;&quot;Epistemic communities: description and hierarchic
categorization&quot;, &lt;a
href=&quot;http://arxiv.org/abs/nlin.AO/0409013&quot;&gt;nlin.AO/0409013&lt;/a&gt;
		&lt;/ul&gt;
	&lt;li&gt;Stephen Toulmin, &lt;cite&gt;Human Understanding,&lt;/cite&gt; vol. 1:
&lt;cite&gt;The Collective Use and Evolution of Concepts&lt;/cite&gt; [I think he's wrong
about some of the strictly philosophical implications of his approach, and
about formalization, but this is the best all-around consideration of how
science &amp;mdash; and other proper intellectual disciplines, for that matter
&amp;mdash; functions as a collective, social enterprise that I've ever seen; and
this was published in 1972.  Volume 2, incidentally, was supposed to address
individual judgment, but I don't think it was ever written]
	&lt;li&gt;Susan Trawek, &lt;cite&gt;Beam-times and Life-Times&lt;/cite&gt; [Ethnographic
study of the &quot;natives&quot; at &lt;a href=&quot;particle-physics.html&quot;&gt;high-energy
accelerator labs&lt;/a&gt;.  Remarkably for any ethnography, the natives don't, by
and large, think the depiction demeaning or bone-headed.]
	&lt;li&gt;John Ziman, &lt;cite&gt;Real Science: What It Is, and What It
Means&lt;/cite&gt; [An extremely sound synthesis by a good theoretical physicist
turned eminent science-studier]
	&lt;/ul&gt;

&lt;ul&gt;Recommended, if somewhat tangential:
	&lt;li&gt;Gross and Levitt, &lt;cite&gt;Higher Superstition&lt;/cite&gt; [What to avoid]
	&lt;li&gt;Richard F. Hamilton, &lt;cite&gt;The Social Misconstruction of Reality:
Validity and Verification in the Scholarly Community&lt;/cite&gt; [How scholars in
the humanities and social sciences manage to repeat and elaborate on sheer
myths for generations; more of a social-psychology approach than a strictly
sociological one.]
	&lt;li&gt;Noretta Koertege (ed.), &lt;cite&gt;A House Built on Sand: Flaws in the
Cultural Studies Account of Science&lt;/cite&gt; [See especially Kitcher's apologia
for well-done sociological studies of science]
	&lt;li&gt;Cass R. Sunstein, &quot;Academic Fads and Fashions (with Special
Reference to Law)&quot; [More social psychology of scholarship.  &lt;a
href=&quot;http://papers.ssrn.com/sol3/papers.cfm?abstract_id=262331&quot;&gt;Online&lt;/a&gt;]
	&lt;/ul&gt;

&lt;ul&gt;To read:
	&lt;li&gt;Albert-Laszlo Barabasi, H. Jeong, Zoltan Neda, Erzsebet Ravasz,
A. Schubert and Tamas Vicsek, &quot;Evolution of the social network of scientific
collaborations,&quot; &lt;a
href=&quot;http://arxiv.org/abs/cond-mat/0104162&quot;&gt;cond-mat/0104162&lt;/a&gt;
	&lt;li&gt;M. J. Barber, A. Krueger, T. Krueger, T. Roediger-Schluga,
&quot;The Network of European Research and Development Projects&quot;,
&lt;a href=&quot;http://arxiv.org/abs/physics/0509119&quot;&gt;physics/0509119&lt;/a&gt;
	&lt;li&gt;Elazar Barkan, &lt;cite&gt;The Retreat of Scientific Racism: Changing
Concepts of Race in Britain and the United States between the World Wars&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/ 9780521391931&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Stephen R. Barley and Julian Orr (eds.), &lt;cite&gt;Between Craft and
Science: Technical Work in the United States&lt;/cite&gt;
	&lt;li&gt;Mario Biagioli and Peter Galison (eds.), &lt;cite&gt;Scientific
Authorship: Credit and Intellectual Property in Science&lt;/cite&gt;
	&lt;li&gt;Geoffrey C. Bowker, &lt;cite&gt;Memory Practices in the Sciences&lt;/cite&gt;
[&lt;a href=&quot;http://mitpress.mit.edu/0-262-02589-2&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;James Robert Brown, &lt;cite&gt;Who Rules in Science: An Opinionated
Guide to the Wars&lt;/cite&gt;
	&lt;li&gt;Carlos Cotta and Juan J. Merelo, &quot;The Complex Network of
Evolutionary Computation Authors: an Initial Study&quot;, &lt;a
href=&quot;http://arxiv.org/abs/physics/0507196&quot;&gt;physics/0507196&lt;/a&gt;
	&lt;li&gt;Diana Crane, &lt;cite&gt;Invisible Colleges: Diffusion of Knowledge in
Scientific Communities&lt;/cite&gt;
	&lt;li&gt;H.-D. Daniel, &lt;citE&gt;Guardians of Science: Fairness and Reliability
of Peer Review&lt;/cite&gt;
	&lt;li&gt;Bruce Edmonds, &quot;Artificial science &amp;mdash; a simulation test-bed for
studying the social processes of science&quot;, &lt;a
href=&quot;http://cogprints.org/4263/&quot;&gt;cogprints/4263&lt;/a&gt;
	&lt;li&gt;Henry Etzkowitz, Carol Kemelgor and Brian Uzzi, &lt;cite&gt;Athena
Bound: The Advancement of Women in Science and Technology&lt;/cite&gt;
	&lt;li&gt;James A. Evans, &quot;Electronic Publication and the Narrowing of
Science and Scholarship&quot;, &lt;a href=&quot;http://dx.doi.org/&quot;&gt;&lt;cite&gt;Science&lt;/cite&gt;
&lt;strong&gt;321&lt;/strong&gt; (2008): 395--399&lt;/a&gt;
	&lt;li&gt;Ying Fan, Menghui Li, Jiawei Chen, Liang Gao, Zengru Di and Jinshan
Wu, &quot;Network of Econophysicists: a weighted network to investigate the
development of Econophysics&quot;, &lt;a
href=&quot;http://arxiv.org/abs/cond-mat/0401054&quot;&gt;cond-mat/0401054&lt;/a&gt;
	&lt;li&gt;Trevor Fenner, Mark Levene and George Loizou, &quot;A Model for
Collaboration Networks Giving Rise to a Power Law Distribution with an
Exponential Cutoff&quot;, &lt;a
href=&quot;http://arxiv.org/abs/physics/0503184&quot;&gt;physics/0503184&lt;/a&gt;
	&lt;li&gt;Marion Fourcade, &lt;cite&gt;Economists and Societies: Discipline and
Profession in the United States, Britain, and France, 1890s to 1990s&lt;/cite&gt;
[&lt;a href=&quot;http://press.princeton.edu/titles/8908.html&quot;&gt;Blurb&lt;/a&gt;.  Let us leave
to one side the question of whether &lt;a href=&quot;economics.html&quot;&gt;economics&lt;/a&gt;
really qualifies as a science.]
	&lt;li&gt;N. Gilbert, &lt;a
href=&quot;http://www.socresonline.org.uk/socresonline/2/2/3.html&quot;&gt;A Simulation of
the Structure of Academic Science&lt;/a&gt;
	&lt;li&gt;C. Lee Giles and Isaac G. Councill, &quot;Who gets acknowledged:
Measuring scientific contributions through automatic acknowledgment indexing&quot;,
&lt;a href=&quot;http://dx.doi.org/10.1073/pnas.0407743101&quot;&gt;&lt;cite&gt;Proceedings of the
National Academy of Sciences&lt;/cite&gt; (USA) &lt;strong&gt;101&lt;/strong&gt; (2004):
17599--17604&lt;/a&gt;
	&lt;li&gt;T. L. Goedeke and S. Rikoon, &quot;Otters as Actors: Scientific
Controversy, Dynamism of Networks, and the Implications of Power in Ecological
Restoration&quot;, &lt;a href=&quot;http://dx.doi.org/10.1177/0306312707077363&quot;&gt;&lt;cite&gt;Social
Studies of Science&lt;/cite&gt; &lt;strong&gt;38&lt;/strong&gt; (2008): 111--132&lt;/a&gt;
	&lt;li&gt;Michel L. Goldstein, Steven A. Morris and Gary G. Yen, &quot;Group-based
Yule model for bipartite author-paper networks&quot;, &lt;a
href=&quot;http://link.aps.org/abstract/PRE/v71/e026108&quot;&gt;&lt;cite&gt;Physical Review
E&lt;/cite&gt; &lt;strong&gt;71&lt;/strong&gt; (2005): 026108&lt;/a&gt;
	&lt;li&gt;Victor V. Kryssanov, Evgeny L. Kuleshov, Frank J. Rinaldo, and
Hitoshi Ogawa, &quot;We cite as we communicate: A communication model for the
citation
process&quot;, &lt;a href=&quot;http://arxiv.org/abs/cs.DL/0703115&quot;&gt;cs.DL/0703115&lt;/a&gt;
	&lt;li&gt;Timothy Lenoir, &lt;citE&gt;Instituting Science: The Cultural Production
of Scientific Disciplines&lt;/cite&gt;
	&lt;li&gt;Menghui Li, Jinshan Wu, Dahui Wang, Tao Zhou, Zengru Di and Ying
Fan, &quot;Evolving Model of Weighted Networks Inspired by Scientific Collaboration
Networks&quot;, &lt;a href=&quot;http://arxiv.org/abs/cond-mat/0501655&quot;&gt;cond-mat/0501655&lt;/a&gt;
[Only &quot;qualtitively consistent behavior with the empirical results&quot; is claimed;
I should read it to see if that's because they haven't checked quantatitively,
or if it fails when it comes to actual numbers.]
	&lt;li&gt;P. D. Magnus, &quot;Distributed Cognition and the Task of Science&quot;,
&lt;a href=&quot;http://dx.doi.org/10.1177/0306312706072177&quot;&gt;&lt;cite&gt;Social Studies of
Science&lt;/cite&gt; &lt;strong&gt;37&lt;/strong&gt; (2007): 297-310&lt;/a&gt;
	&lt;li&gt;Matti Peltomaki and Mikko Alava, &quot;Correlations in Bipartite
Collaboration Networks&quot;, &lt;a
href=&quot;http://arxiv.org/abs/physics/0508027&quot;&gt;physics/0508027&lt;/a&gt;
	&lt;li&gt;Michael Polanyi, &quot;The republic of science: its political and
economic theory&quot;, &lt;cite&gt;Minerva&lt;/cite&gt; &lt;strong&gt;1&lt;/strong&gt; (1962): 54--73
	&lt;li&gt;Anne E. Preston, &lt;cite&gt;Leaving Science: Occupational Exit from
Scientific Careers&lt;/cite&gt;
	&lt;li&gt;Jos&amp;eacute; J. Ramasco, S. N. Dorogovtsev and Romualdo
Pastor-Satorras, &quot;Self-organization of collaboration networks&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1103/PhysRevE.70.036106&quot;&gt;&lt;cite&gt;Physical Review
E&lt;/cite&gt; &lt;strong&gt;70&lt;/strong&gt; (036106)&lt;/a&gt; [It's not clear to me from the
abstract just what they mean by &quot;self-organization&quot;, but of course it &lt;a
href=&quot;self-organization.html&quot;&gt;piques my interest&lt;/a&gt;]
	&lt;li&gt;Jose J. Ramasco and Steven A. Morris, &quot;Social inertia in
collaboration
networks&quot;, &lt;a href=&quot;http://arxiv.org/abs/physics/0509247&quot;&gt;physics/0509247&lt;/a&gt;
	&lt;li&gt;Jerome R. Ravetz, &lt;cite&gt;Scientific Knowledge and Its Social
Problems&lt;/cite&gt;
	&lt;li&gt;Camille Roth
		&lt;ul&gt;
		&lt;li&gt;&quot;Measuring Generalized Preferential Attachment in
Dynamic Social Networks&quot;, &lt;a
href=&quot;http://arxiv.org/abs/nlin.AO/0507021&quot;&gt;nlin.AO/0507021&lt;/a&gt;
		&lt;li&gt;&quot;Co-evolution in Epistemic Networks: Reconstructing
Social Complex Systems&quot;, &lt;a
href=&quot;http://repositories.cdlib.org/imbs/socdyn/sdeas/vol1/iss3/art2&quot;&gt;&lt;cite&gt;Structure
and Dynamics: eJournal of Anthropological and Related
Sciences&lt;/cite&gt; &lt;strong&gt;1&lt;/strong&gt; (2006): 3:2&lt;/a&gt;
		&lt;/ul&gt;
	&lt;li&gt;Nancy Rothwell, &lt;cite&gt;Who Wants to be a Scientist?: Choosing Science As a Career&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/9780521817738&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;James D. Savage, &lt;cite&gt;Funding Science in America: Congress, Universities, and the Politics of the Academic Pork Barrel&lt;/cite&gt;
	&lt;li&gt;Mikhail V. Simkin and V. P. Roychowdhury
		&lt;ul&gt;
		&lt;li&gt;&quot;Read before you cite!&quot;
&lt;a href=&quot;http://arxiv.org/abs/cond-mat/0212043&quot;&gt;cond-mat/0212043&lt;/a&gt; [I can't
resist quoting the whole abstract.  &quot;We report a method of estimating what
percentage of people who cited a paper had actually read it. The method is
based on a stochastic modeling of the citation process that explains empirical
studies of misprint distributions in citations (which we show follows a Zipf
law).  Our estimate is only about 20% of citers read the original.&quot;]
		&lt;li&gt;&quot;Copied citations create renowned papers?&quot;
&lt;a href=&quot;http://arxiv.org/abs/cond-mat/0305150&quot;&gt;cond-mat/0305150&lt;/a&gt; [&quot;Recently
we discovered (cond-mat/0212043) that the majority of scientific citations are
copied from the lists of references used in other papers. Here we show that a
model, in which a scientist picks three random papers, cites them,and also
copies a quarter of their references accounts quantitatively for empirically
observed citation distribution. Simple mathematical probability, not genius,
can explain why some papers are cited a lot more than the other.&quot;]
		&lt;li&gt;&quot;A mathematical theory of citing&quot;, &lt;a
href=&quot;http://arxiv.org/abs/physics/0504094&quot;&gt;physics/0504094&lt;/a&gt; [&quot;Here we
propose a modified model: when a scientist writes a manuscript, he picks up
several random recent papers, cites them and also copies some of their
references. The difference with the original model is the word recent. We solve
the model using methods of the theory of branching processes, and find that it
can explain [certain] features of citation distribution, which our original
model couldn't account for. The model can also explain 'sleeping beauties in
science', i.e., papers that are little cited for a decade or so, and later
'awake' and get a lot of citations. Although much can be understood from purely
random models, we find that to obtain a good quantitative agreement with
empirical citation data one must introduce Darwinian fitness parameter for the
papers.&quot;]
		&lt;/ul&gt;
	&lt;li&gt;Miriam Solomon, &lt;cite&gt;Social Empiricism&lt;/cite&gt;
	&lt;li&gt;Kent W. Staley, &lt;cite&gt;Evidence for the Top Quark: Objectivity and
Bias in Collaborative Experimentation&lt;/cite&gt;
	&lt;li&gt;Carol Tenopir and Donald W. King, &lt;cite&gt;Communication Patterns of
Engineers&lt;/cite&gt;
	&lt;li&gt;Gordon Tullock, &lt;cite&gt;The Organization of Inquiry&lt;/cite&gt;
	&lt;li&gt;Alexei Vazquez, &quot;Statistics of citation networks,&quot; &lt;a
href=&quot;http://arxiv.org/abs/cond-mat/0105031&quot;&gt;cond-mat/0105031&lt;/a&gt;
	&lt;li&gt;Walter G. Vincentin, &lt;cite&gt;What Engineers Know and How They Know
It: Analytical Studies from Aeronautical History.&lt;/cite&gt;
	&lt;li&gt;Matthew L. Wallace, Yves Gingras, Russell Duhon, &quot;A new approach for detecting scientific specialties from raw cocitation networks&quot;, &lt;a href=&quot;http://arxiv.org/abs/0807.4903&quot;&gt;arxiv:0807.4903&lt;/a&gt;
	&lt;li&gt;Etienne Wenger, &lt;cite&gt;Communities of Practice&lt;/cite&gt; [Related but
not identical subject]
	&lt;li&gt;K. Brad Wray, &quot;The Epistemic Significance of Collaborative
Research&quot;, &lt;cite&gt;Philosophy of Science&lt;/cite&gt; &lt;strong&gt;69&lt;/strong&gt; (2002):
150--168
	&lt;li&gt;John H. Zammito, &lt;cite&gt;A Nice Derangement of Epistemes:
Post-Positivism in the Study of Science from Quine to Latour&lt;/cite&gt;
	&lt;li&gt;Jes&amp;uacute;s P. Zamora Bonilla, &quot;Scientific Inference and the
Pursuit of Fame: A Contractarian Approach&quot;, &lt;citE&gt;Philosophy of Science&lt;/cite&gt;
&lt;strong&gt;69&lt;/strong&gt; (2002): 300--323
	&lt;li&gt;John Ziman
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;An Introduction to Science Studies: The Philosophical
and Social Aspects of Science and Technology&lt;/cite&gt; [&lt;a
href=&quot;http://www.cup.org/Titles/34/0521346800.html&quot;&gt;Blurb&lt;/a&gt;]
		&lt;li&gt;&lt;cite&gt;Of One Mind: The Collectivization of Science&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Prometheus Bound: Science in a Dynamic Steady
State&lt;/cite&gt; [&lt;a href=&quot;http://www.cup.org/Titles/43/0521434300.html&quot;&gt;Blurb&lt;/a&gt;]
		&lt;li&gt;&lt;cite&gt;Public Knowledge: An Essay Concerning the Social
Dimension of Science&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Reliable Knowledge: An Exploration of the Grounds for
Belief in Science&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;/ul&gt;
</description>
  </item>
  </channel>
</rss>