The Competitiveness of Nations in a Global Knowledge-Based Economy
Derek J. De Solla Price
Is
Technology Historically Independent of Science?
A Study in Statistical Historiography
Content
Scientific vs. Technology Literature
Interaction via Ambient Learning & Education
Difficulty in Writing the History of Technology HHC: titling and index added. |
Technology
& Culture VI (4)
Fall
1965, 553-568
Physical Science and Industrialism may be conceived as a pair of dancers,
both of whom know their steps and have an ear for the rhythm of the music.
If the partner who has been leading chooses to change parts and to follow instead,
there is perhaps no reason to expect that he will dance less correctly than
before.
Arnold J. Toynbee
[1]
The definition of science and of technology is such a
traditional preoccupation of historians of those subjects that few
professionals or amateurs in these fields have escaped the tempting urge to
begin their historical deliberations in such a fittingly scientific and orderly
fashion. It is not my purpose to comment
on definitions that have already been made, or indeed to add to their
embarrassing profusion, for it seems to me that, even when the job is well
done, it has been sterile and without fruit. So far as I can find, the only use to which
most of these definitions have ever been subjected is that of deciding what
range of subject matter should be included in a particular book or in a chapter
of a book. In this respect it is
somewhat similar to the recent concern of some of our colleagues with the
problems of “periodization and classification.” [2] While such precise delimitation of the
subjects may be useful and even admirable for splitting a complex whole into
more easily assimilable parcels, it offers little by way of historical or
scientific explication of the manner in which the development of science and
technology has proceeded.
It is, of course, by no means clear that one should be
able to produce anything much more useful or productive than this sort of
definition.
DR. PRICE, Avalon Professor of
the History of Science at Yale University, is the author of Science since
Babylon (1961) and Little Science, Big Science (1963).
1.
Introduction: The Geneses of Civilizations (“A Study of History,” 12
vols. [New York, 1962J),I, p. 3, n. 1.
2.
See, e.g., the papers by Bonifati Kedrov, Eugeniusz Olszewski, E. Rosen, D. A.
Wittop Koning, and S. V. Schoukhardine in Organon, No. 1 (Warsaw,
1964).
553
One could hardly expect, for example, to set up definitions or concepts
that would be anything so potent as those of force and mass in terms of which
Newton’s laws of motion can be formulated and an elaborate rational mechanics
derived. It is, however, sufficiently
reasonable to invite some speculation to see if there are perhaps definitions,
concepts, or even models that would enable one to make hypotheses about the
growth and structure of science and of technology and in particular about any
relations between them.
In this light, it may first be remarked that one
particular type of model is already so widespread as to be commonplace, so
accurate as to give rise to a rich conceptual terminology, and so obvious that
one does not often stop to think that it implies quite deep statements about
the nature of our subjects. I refer here
to the verbal-imagery models that scientists and technologists use in talking
about their work. Perhaps the most
common is that extended metaphor in which science becomes a geographical
terrain that can be explored and traversed, divided into regions like countries
and continents that have their frontiers and their borderlands, and conceived
of as varying in terrain from difficult mountains and key passes to broad
plainlands and fields. In other
metaphors science becomes a tree having roots, a main stem, and branches that
are subdivided into twigs; or it becomes a house of rooms which are being set
into order and built; or a pyramid of bricklike discoveries and theories which
are set, one on top of the other, by successive generations of workers at the
research front. As for technology, it is
often conceived of as something “growing out of” science, or “giving birth to”
scientific interests, or in some sort of dialectical interaction with it, as implied
by Toynbee’s suggestive image of a pair of dancers to the same music.
Now all of these pieces of imagery are in some degree
valid models that can be tested to see if the analogies provide relationships
that have not been deliberately built in the model or made obvious by its conception.
Thus we may consider the geographical
metaphor and ask if it is indeed true that science can be mapped in any way
onto a plane. If it can, then two points
near together, like New York and New Haven, cannot be at very different
distances from a third point far away like Montreal. Is there any concept of “distance between
scientific fields” that would make it reasonable to think of organic chemistry
as being nearly adjacent to pharmacology but also to hold that neurophysiology
was near to pharmacology but very distant from organic chemistry? If strong examples can be found to violate
one’s intuitive expectations, then with such a metric or concept of distance
one cannot map science on a plane, and to save all being lost, one might then
go on to inquire
554
if what we really felt was that some sort of mapping in space of three
dimensions or more would not involve such conflict.
It appears then that any such model for science or for
technology can be questioned about the extent of its analogy, and if it is found
that some of the analogies hold well, it is reasonable to suppose that we might
be led thereby to extend and refine the model so that it explains features and
phenomena that were previously unrelated. With this end in mind, I shall now proceed
from a model of science, previously reported, [3]
which achieves some success in improving qualitatively the sort of thing that
is included in the geographical metaphor and which adds to it a quantitative
treatment that makes it useful for analyses of manpower and literature. It will then be suggested that a similar model
to this, with some necessary modifications, would be applicable to technology
and give rise to parallel consequences in qualitative and quantitative studies.
Comparing the two models one may then
derive a little insight into the ways in which science and technology behave
and, hopefully, some knowledge as to what is plausible in the nature of their
interaction.
The model we present for science was originally
developed in the course of quite different studies concerned with the analysis
of scientific literature and manpower, both ancient and modern; [4] I shall not here report it in anything but
the broad outlines that bear upon this new and unexpected application. The basic technique employed was originally
that of a simple head count of men and the scientific papers they published,
though this has been reasonably easy to elaborate without structural damage by
paying attention to the way in which the papers and the men relate to each
other, the journals in which the papers are published, and several indicators
of the quality and scientific importance of papers, men, and journals.
It happens to be rather easy to define the journal
literature of science; there are good bibliographical compilations that list by
name the fifty thousand journals that have ever been published in the world and
the thirty thousand or so that are alive now. If one is not satisfied by the subjective
criteria for inclusion in such a list it is quite easy to make an operational
definition that generates the complete corpus of literature
3.
In my “Statistical Studies of Networks
of Scientific Papers,” Symposium on Statistical Association Methods for
Mechanized Documentation (Washington, D.C.: National Bureau of Standards,
June, 1964), Science, 149, No. 3683 (1965), 510-15.
4
A general account of this earlier work is given in my Little Science, Big
Science (New York, 1963).
555
by making use of the fact that authors of papers have for some time made
a practice of citing previous publications that have been made use of in any
paper they publish. Clearly the citing
of a paper does not necessarily imply it has been read, and even more certainly
not all papers read are cited, but there is some significance in such
citations. Even if this is weak, one
could start with one journal or group of journals and get, from the citations
within its papers, all the other journals that contained papers to which
reference had been made. These new
journals in turn could be used to iterate the process until no new journals
appeared in the list. In fact, such a
list becomes sensibly complete after relatively few iterations, and if one is
satisfied with less than perfection, as practical libraries, it can be found
that a much smaller list than the world total can account for a very large
majority of all papers referred to. Thus
it is probable that 80 per cent of all scientific papers can be had from about
one thousand journals, and that 80 per cent of all chemical papers would come
from the biggest specialized journals totalling less than one hundred in
number, and even that better than 95 per cent of the chemical literature
could be had from less than two hundred of the most eminent journals. As well as generating a much more manageable
(even if slightly incomplete) list of containers of the scientific papers, it
might be noted that this iterative process can be extended to include all
scientific books to which reference has been made.
With the journals and therefore the papers (and perhaps
the books too) defined as a field, one may then proceed to the writers of these
contributions. Instead of inventing a
special term for a person who has ever published a scientific paper, I propose
to use the term “scientist.” It is not
an ordinary definition nor a familiar one, but it is one that can be used for
further statistical studies. If one is
dissatisfied that the standard is too low, it is quite trivial to compute from
this the numbers of authors of two or more papers, or the number of authors
whose papers have been referred to by others on one or more occasions. The calculation is not too difficult whatever
demands of this nature may be made, simply because there is a rather constant
and well-mannered distribution of the number of people writing various numbers
of papers in a lifetime or in a year and of the number of papers referred to
various numbers of times in similar intervals. These distributions are in fact exactly the
ones that one would expect on the basis of simple hypotheses, and thus without
any empirical assumptions any definitions of this form are easy to handle and
transmute from one form to another. Obviously,
however, a “scientist” in this sense has nothing to do with whether or not the
person has been trained, whether he is employed as an academic
556
or industrial scientist, or whether he has done any amount whatsoever of
scientific work, however significant, if it happens not to be published.
Having now defined the body of scientific literature and
taken a scientist as a person who adds to it, we may next inquire about the
relations between one person and another and those between one paper and
another. Let us first remark
parenthetically that our usage implies that the chief end product of a
scientist’s work is the paper that he publishes, and this accords well with his
obvious motivation to get his work into the eternal archive of the Literature. Above all, the scientist is a person who wants
to publish; only secondarily does he want to read. His reading, or rather, his awareness of what
others have written, is what shows up in the references of his papers, and it
is to these that we may now turn for light on the linkages between men and fields.
On examination, references in scientific papers arise as
a result of two processes. The first
draws equally, and virtually at random, on all of the previously published
literature of the field, any one paper being just as likely to be used as any
other paper of equal merit. Papers
differ markedly in their merits and therefore in the amount of citation to
which they give rise, but on the whole this merit stays nearly constant with
time or decreases only rather slowly. What
happens in fact is that the average paper gives rise to about one citation per
year, but this is because the number of papers available to cite it grows
exponentially (doubling every ten years) while the chance of its being cited in
any particular paper decreases by a similar factor of two in the same period. The second process is not at all randomly
distributed; it shows strong tendencies to draw papers together in clumps by a
network of multiple connections, and there is a strong trend toward links
between papers separated in time by short intervals of only at most a couple of
years.
The first process is a random raiding of the past
literature; the second shows a marked research front of papers cumulating one
on top of the other, knitted together by short range forces. The knitting seems to contain a lot of dropped
stitches, which are what divides the research front into its clumps, these
clumps seeming to correspond with the work of something like the order of one
hundred scientists who probably constitute the peer group of a typical New
Invisible College of all the people who really do the work at that particular
segment of the research front. [5] Perhaps it is no accident that there have
been, since the beginning of scientific journals, the order of one hundred
scientists
5.
There now begins to be a considerable literature on the phenomenon of the New
Invisible Colleges; for a summary of some of this see Warren O. Hagstrom,
“Traditional and Modern Forms of Scientific Teamwork,” Administrative
Science Quarterly, IX, No. 3 (December, 1964), 241-63.
537
for each serial founded, presumably to minister to the needs of a new
group.
I now suggest further that the first process, that of an
unstructured drawing on the total archive, corresponds to the normal process of
scholarship shared by the sciences and the humanities. A whole segment of learning is fed to the
scholar by his training and reading; it matures, so to speak, in the barrel and
then becomes the matrix for his own contributions. The second process I would regard as peculiar to
the sciences and responsible for that mid-seventeenth-century development that
made the sciences begin to burgeon at an exponential rate many times faster and
characteristically more surefooted than any non-scientific learning. In fact, I think one might draw up a spectrum
of subjects ranging from pure science to pure non-science by measuring and arranging
in descending magnitudes the ratio of the research-front citation to the
archival citation. There is little doubt
that such subjects as particle physics and molecular biology would be on top of
that scale and the taxonomic biological sciences toward the bottom. One might well find, however, that Assyriology
and some parts of history, economics, and linguistics might be near the top,
while other parts of history were near the bottom.
I hope I have now exhibited sufficient of this model of
science and its underlying concepts to show that it can be made to correspond
readily to the more familiar linguistic metaphors and that it can give usable
statistics and other quantitative results as well as throw light on such
qualitative issues as the difference between scientific and non-scientific
scholarship. I have considerable hope
that this model can be refined and analyzed, using such computer-handled data
as are involved in the making of citation indexes, so that the field of science
can be analyzed by its sections and relations and the entire literature and manpower
monitored in its changing patterns on a continuous and historical basis. It may seem a little odd that all this might
be possible without appeal in the first instance to any examination of the
substantive content of any paper, but all one is doing is putting some credence
in the author’s choice of journals and references as a means of fixing co-ordinates
for his work. Inevitably the background
noise is high, but the easy success of these analyses seems to indicate that
the noise blurs rapidly, and even a small amount of orderly pattern shows up
quite markedly.
Scientific
vs. Technology Literature
The model just displayed involves no distinction between
science and technology, though indeed it happens that many parts of the world
558
total of literature, as we have defined it, seem to be far toward the
non-science end of the spectrum, showing very little of those short-range
connections between papers that indicate one has the special scientific process
of interaction with a close group of peers who are not merely contemporary but
actually treading on each others’ heels. In small part, these non-sciences consist of
the few special sciences involving such things as biological taxonomy, where
preference is given to the citing of a first published description, and in
another part they are obvious non-sciences that have been included by taking
every paper in journals that publish or review humanistic as well as scientific
scholarship. Unhappily it would appear
that the great bulk of non-science emanates from journals that one would intuitively
describe as “technical” rather than “scientific.” Certainly not all technical journals exhibit
unstructured citation, but even in serials of this sort containing many papers
of a “scientific” variety complete with short range referencing, it is obvious
at a glance that there exists a quite different class of publication, almost
bereft of bibliography, though sometimes citing a previous paper by the same
author(s).
Such papers seem to report on the making of some new
machine or drug or a testing of one previously described. It seems that after such a publication there
is not habitually any further reference to the article or any direct building
on it. That does not seem to be the
purpose. This is all very queer, for
there are many more engineers than scientists, and the great bulk of the
journal literature is technical by any standards rather than “pure scientific.”
One would suppose that if technology and
science had similar structures one could find many peer groups of technologists
cumulating their contributions. Quite
clearly no such cumulation is evident in the literature in many of the chief
branches of technology, though it must again be emphasized there exist fields
that are traditionally “technology” which exhibit strong evidence of a structured
cumulation of literature - electronics would be a good example.
Some light on this may be had by means of a cursory
comparison of manpower statistics derived from the literature with those more
conventionally obtained. If one takes
such a field as physics there is reasonable agreement between the numbers of
writers of papers and the number of people who claim to be trained and employed
in that field. For chemistry the number
of practitioners exceeds the number of writers - even if one counts all those
who had ever written in the field and not merely all those writing now. For all engineering and similar technologies,
the number of practitioners vastly exceeds the number of writers, even though
the technical literature is voluminously greater
559
than the scientific literature. It
appears then that, in addition to the small part of technology that shows
typically scientific cumulation with research-front structure and the large
part of technology that has no more cumulation than non-scientific literature,
there must be an even larger body of practitioners of technology who are not
producers of the literature.
Because of this it is certainly incorrect and contrary
to intuition to attempt a definition of technology and technologists in terms
of the technological literature. Clearly, the published paper is not, in
general, the end product of a worker in a technological subject; he appears to
be instead concerned chiefly with the production of an artifact or process. What then is the role of the literature in
technology? I suggest that for the most
part it is produced as an epiphenomenon. It comes about because many technologists have
had scientific training and know full well the code of behavior of the
scientist in which publication is not merely right and proper, but a high duty
and a behavior expected by peers and employers. Since this activity does not, however, in most
cases produce the highly interlocked research-front structure of science, it
must be regarded in this light as a sham. Possibly the literature has some other
function in technology, but clearly it does not feed on itself to grow at the
mighty rate displayed by science.
Although the literature of technology does not cumulate
in the same way as that of science, it is quite evident that it shares with
science the rate of growth and surefootedness that causes it to burgeon at a
rate outstripping all else in the last few centuries of civilization. For this reason I find it tempting to suppose
that technology must have some mode of structured cumulation, similar to that
of science, but not enshrined in the published literature. I suppose that at each part of a technological
research front there exists and cumulates a “state of the art” that is familiar
to a peer group of practitioners who are adding to this art in a structured
way. [6] If we suppose that this non-verbal state of
the art behaves in an analogous way to scientific literature, it would
6.
A most telling and perceptive comment was made on this point in the discussion
following presentation of this paper and in subsequent correspondence by Bern Dibner,
Burndy Library, Norwalk, Conn. Dr.
Dibner drew attention to the fact that there exists a special literature, quite
different from normal technological journals, that strikingly reflects the
state of the art in most fields of engineering. This special literature, also contained in the
advertising pages of engineering magazines, consists of the catalogues and
handbooks describing machines, components, tools, etc. Quoting Dibner: “Each engineer seems to resort
to a dozen or several dozen catalogs which he uses for constant or occasional
reference. These are furnished gratis by
the apparatus manufacturers who include handy pictorial indices, color sectional
dividers, and special binders to hold the printed pages together. Most industries being highly competitive, the
most complete and logical catalog will draw [the
prospect’s attention first and thereby gain the best chance of being
specified. In addition to individual
catalogs there are companies that gather and issue catalog material for entire
industries such as electrical transmission, construction, aircraft, etc. Sweet’s and McGraw-Hill catalogs are big
business. Engineering handbooks have a
long tradition. Marks’ (mechanical),
Pender (electrical), Knowlton (electrical), Carnegie (steel sections) are
representative. There are thick
handbooks for every specialty. Unlike
company drawings, these catalogs and handbooks are the property of the
engineer, are embellished with his notes and travel with him from job to job.”]
HHC:
[bracketed]
displayed on page 561 of original
560
appear that the process of normal growth is for small accretions to be
made, bit by bit, with occasional nodal points that begin some new strip of the
knitted structure. In general, new
technology will flow from old technology rather than from any interaction there
might be between the analogous but separate cumulating structures of science
and technology.
At this stage we must draw more understanding from our
separate models of science and technology before the nature of their
interaction can be further examined. It
has already been remarked that the traditional motivation of the scientist to
publish is not shared in general by the technologist. One might even conjecture that the traditional
motivation of the technologist is not to publish, but to produce his
artifact or process without disclosing material that may be helpful to his
peers and competitors before his claim to the private property of the
technological advance can be established. In science the publication is the medium
through which that private property is established, and approbation is secured
to the extent by which that publication is helpful to others. In technology the publication may well
jeopardize the private property unless there is a long gap in which to secure
priority of production and the winning of a patent, and the longer the gap can
be before someone else is helped to advantage, the bigger the gain in property
of the innovator. Roughly speaking, science
is a cumulating activity which is papyrocentric, while technology also
cumulates, but in a papyrophobic fashion.
If we look at the consumption of literature, rather than
its production, we find that again the behaviors of science and technology appear
to be opposite and even complementary. In spite of the fact that they cumulate by
building on the papers of their colleagues, scientists seem to have
considerable resistance to reading more than they absolutely must. It is now well known from the work of Charles
Y. Glock, Herbert Menzel, William A. Glaser and Robert H. Somers [7] from the American Psychological
Association’s Project on Scientific Information
7.
The Flow of information among Scientists (New York: Columbia University
Bureau of Applied Social Research, May, 1958).
561
Exchange in Psychology [8] that at
the present day a great deal of the communication job of a paper is made before
publication in the open literature. In
fields that are cumulating strongly, the news of research flows by personal
contact and verbal report through the Invisible College and the surrounding
peer group, and apparently this form suffices to a large extent. In consequence, by the time the paper is
available in formal publication all the juice has been squeezed out by the peer
group, and the paper is already well behind the research front of current work
by the peer group. Though the process
has become blatantly obvious only in recent times, it must have gone on to some
extent throughout the period at issue, since the mid-seventeenth-century invention
of the cumulating device of the scientific paper as a special sort of an atom
of knowledge that could fit together with other similar atoms.
The literature consumption of the technologist is quite
different. Though seeking to give little
prior advantage to others, he is anxious to gain all advantage for himself by
knowing all he can of the technical advances of others and of the scientific
advances that might in his opinion have bearing on his technology. To put it in a nutshell, albeit in exaggerated
form, the scientist wants to write but not read, and the technologist wants
to read but not write. Less
dramatically, I would like to split research activity into two sharply defined
halves; the one part has papers as an end product, the other part turns away
from them. The first part we have
already identified with science; the second part should, I think, be called
“technology,” though here there is more conflict with intuitive notions. By this definition, it should be remembered
there is a considerable part of such subjects as electronics, computer
engineering, and industrial chemistry that must be classified as science in
spite of the fact that they have products that are very useful to society.
Interaction
via Ambient Learning & Education
The first thing that may be said about the manner of
interaction between science and technology is that it seems to proceed only
slightly and with great difficulty through the literature. The technologist’s searching of the technical
literature is doomed to failure because other technologists are not interested
in helping him to their own disadvantage; in fact, it is for this reason presumably
that one finds virtually no cumulation and few references in the greater part
of the tech-
8.
William D. Garvey, Belver C. Griffith, et al., Reports of the American
Psychological Association’s Project on Scientific in formation Exchange in
Psychology (American Psychological Association, December, 1963), Vol. I.
562
nical literature. Even if one
looks at the patent literature it becomes evident, now that we have Garfield’s
Citation Index, [9] that patents do not
form a strongly cumulative network of citations. Few patents are cited more than once in any
year, and those that are have at the most very weak chains showing linear arrays
of patents improving on previous ones by the same person or group.
If the technologist searches on the other hand through
the literature of science it becomes evident that this has not been published
for his benefit but for the peer group at the front, in the first instance, and
for the eternal archive in the second place. Because of this it must be presumed that
science cannot flow into technology from the literature at the research front
but rather from some position well behind this front. Basically, the technologist could only monitor
the scientific research front if he were in his own right an active peer in an
Invisible College. Short of this, he
must retire to the level where such knowledge has been assimilated as part of
the eternal archive. Does it happen then
that elements of technology somehow arise and become attached to parts of the
network of science behind the front? To
use one of the familiar metaphors, is technology a sort of fruit that grows
from the branches of science rather than from its delicate end twigs? Assuredly, if this happens it can only be a
small part of the total activity of technology, for there would then be no
obvious way in which the corpus of technology could form a well-connected and
cumulating whole. I suggest that the
metaphor of the fruit might well hold in some measure for those subjects like
electronics which we have had to classify as scientific, but which clearly
gives rise to a considerable body of useful application and artifactual end
products. The greater part of
technology, however, does not seem to have such strong links with any
particular portion of scientific literature, nor does its own literature
cumulate cohesively. We are therefore
left with the image of a technology that cumulates at much the same rate as
science, but not through its literature.
At this stage we may draw more consequences from the
model. The complementarity of science
and technology in its attitudes to the literature is a matter of considerable
embarrassment for the technologist. The
scientist need only find ways and means of getting his material published with
the maximum possible dispatch, the technologist wants to monitor this
literature. It is therefore reasonable
to interpret the growing hue and cry about an information problem largely as
the agitation of the technologist in attempting to deal with a scientific
9.
See E. Garfield, “Science Citation index, a New Dimension in Indexing,” Science,
144, No. 3619 (1964), 649-54.
563
literature that has not been written with his interests in mind. The technologists are in a quandary, for by
the nature of the beast they cannot or will not write the papers they need for
themselves, and they do not want the scientific literature in the way in which
it is automatically organized for use by peer groups at the research fronts of
the Invisible Colleges. In the absence
of any new and radically large-scale computer operations to form an automatic
and up-to-date encyclopedia of the sciences, one falls back on a well-tried
expedient to ameliorate and cope with this problem. The expedient is the natural process of scientific
education in which all the knowledge won so far is packed down and fed to the
student of science so that at his entry to the research front he is aware of
the state of affairs without a complete monitoring of all strands of the
literature. For some limited time
thereafter he can cope with recent advances, but after a while he is capable,
if at all, only within the bailiwicks of his own Invisible College.
It may well be that a similar process holds within
technology and that the apprenticeship of the engineer, for example, acquaints
him with the “state of the art” in the field of his own choice. More than this, it becomes evident that the
process of training is also one in which considerable interaction can be
effected between science and technology. During training and general education each
scientist becomes conscious of the ambient states of the technological arts,
and each technologist reaches a certain familiarity with the state of the
sciences. Though there might well be
some additions, greater or smaller, at subsequent dates, the minimum is
available for purpose of interchange between science and technology. It can therefore be seen that without evoking
the special mechanism of technological fruit on scientific trees, the
cumulating bodies of science and of technology are each available quite readily
to the other at a distance from their respective research front equal to about
one generation of students. That is to
say that technology can make ready use of the science that has been learned and
packed down in a form suitable for students, and science can use the ambient technology
that is readily familiar at a similar stage.
Only very rarely, I think, does a new piece of science
give rise directly and quickly to technological repercussions. When it does, the effect is brilliant and
startling, and the situation is of considerable historical importance so that
the incident becomes glamorized and mythologized. [10]
10.
In the discussion following presentation of this paper it was asked if there
was not a strong body of evidence suggesting that the “lag time” between
scientific advance and technological innovation had not been progressively
reduced throughout the last few centuries so that now there was little lag and
therefore strong interaction. In reply,
it was again emphasized that the few recent examples used [in these studies tended to be like the cases of
transistors and penicillin, grand innovations that break paradigms and happen
only in those rare and highly atypical instances that correspond to Copernicus,
Einstein, etc. in the history of science.
If one excepts these traumatic phenomena and looks instead at the main
bulk of “normal” technological advance, it seems doubtful if the lag time has
ever differed from that taken to pack down the scientific knowledge from one
generation of students to the next.
Clearly the incidence of traumatic breaking of the paradigms in science
and technology has increased exponentially (though much less rapidly than the
growth in crude bulk), but the decrease of lag in normal innovation is most
probably mythical.]
HHC:
[bracketed]
displayed on page 565 of original
564
There is here, I think, considerable analogy to the breaking of the
paradigm a la Kuhn; [11] the
normal progress of advance is one of steady cumulation from within, but the
sudden and traumatic changes are of a different nature. It would therefore be just as wrong to see the
history of technology as a series of spectacular applications of scientific discovery
as it would to see the history of science as a succession of paradigm-breaking
events.
Difficulty
in Writing the History of Technology
At this point one might use the present state of the
model to explain to some degree the peculiar difficulty there seems to be in
writing the history of technology. There
has been a tendency on the one hand to look only at the traumatic changes and
see the great inventions which are probably not at all typical of the “normal”
growth of technology, just as the Copernican Revolution cannot be counted as
part of the normal growth of science. In
this connection it is obvious that history written in terms of only such
dramatic “Greats” can be, and usually is, highly misleading in spite of its
popularity. On the other hand, the
history of technology is made especially difficult because the subject matter
of its cumulation does not consist of written papers; when such documents exist
they are usually epiphenomenal in a way that documents in the history of
science are not. There is a tremendous
difficulty in translating to written terms the “state of the art” in ancient or
in modern times. For this reason, so
much of the history of technology necessarily appears to be antiquarian
descriptions of artifacts and processes, displayed, as they must be, more like
in a museum than as the narrative of conceptual change and cultural evolution
that is possible in the history of science. Most certainly the social relations of
technology are even greater than those of science, and so some sort of cultural
and social history of technology becomes easy; but when one reaches below this
to what is now frequently called the internal history, only that of
11.
Thomas S. Kuhn. The Structure of Scientific Revolutions (Chicago. 1962).
565
science is already injected in documentary form in a way that mirrors the
content of the science. The similar
mirroring process in technology gives rise to the artifacts and processes, and
it is necessary to transform this evidence into written form through the medium
of descriptions which savor of the antiquarian.
The model of science and technology as a pair of
complementary cumulating bodies of research accords rather well with Toynbee’s
image of the two dancers. It may be
remarked that the dancers are male and female, of sharply opposite attitudes to
the production and consumption of literature, of very similar basic motivations
in their quests for the private property of discovery. How much truth is there in the notion that the
dancers move to the same musical rhythm? If the music be taken to be the needs of
society, the wishes of governments, or the desires of men, there is, I feel,
very little truth in it. The structure
of science at least, as one can analyze it from the connectivity of its papers,
seems to show clearly that new knowledge grows out of old at a very steady rate
without even very much sensitivity to what one would suppose that societies and
men desire. No amount of investment can
be guaranteed to produce a cancer cure - not even to give one a 50-50 chance of
finding one within ten years if it is not within the state of knowledge to do
it. Science seems quite strongly to be
its own sweet beast, and to manage it scientists have jealously guarded their
right and duty to follow any inquiry wheresoever it might lead, whether or not
the results are the ones they thought they wanted. Might it be that the cumulation of a
technological art goes by the same sort of process and proves almost as
intractable to the will of society and industry? If there is any sort of truth in this, it
would make one doubt very heavily the utility of investment of any large sums
of money for specific industrial research. It is all very well to pay for the general
support of scientists and of technologists provided one is satisfied to take
whatever advances happen to be produced, but there seems some inherent
difficulty in supposing, according to this model, that anywhere but in very
special fields would it pay to subsidize work to a particular technological
end.
A particularly gloomy application of this principle is
to be seen in an analysis of the biomedical literature Part of it seems to be normal cumulative
science, another larger part including clinical papers has all the appearance
of technology. [12] If these are dancers to the same rhythm
12.
Later contemplation and discussion with colleagues have convinced me that it
may be most fruitful to consider medicine as having scientific and
technological components in the light of this discussion of their
historiographies. As evidence of the
identification of clinical practice with technology it should be noted that the
[literature usually does not engage in
strong interaction. Furthermore, it is a
strong point that there may exist “schools” of clinical practice, as, e.g.,
those notable in the early history of psychoanalysis. The existence of such schools, as in the
subject of philosophy, does not seem to correspond to that of New Invisible
Colleges, monitoring a particular sector of research front. Rather, it betokens and corresponds to a set
of people with the same fashions and modes, and indeed it may well be an
embodiment of the technological state of the art. If this is so, it is an identifying symptom,
for whenever we see Invisible Colleges we have research-front science, and
whenever we see Schools it is research-front technology. In both cases there is strong communication
and social interaction within the group, but only in the case of the scientific
groups does the literature behave cumulatively in its strongly knit
interaction. Just as in the main body of
this investigation, one would suppose that clinical innovation is related to
the medical science of the preceding generation, and the advances in medical
science tend to grow from the common knowledge of clinical practice learned by
the researcher in his medical training.
Only in the traumatic and paradigm-breaking instances corresponding to
the best known and popularly mythologized great changes in medicine could one
find the anomaly of direct interaction between the research fronts of medical
science and clinical practice.]
HHC:
[bracketed]
displayed on page 567 of original
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they perhaps do it by the same rather weak and infrequent (though often
spectacular) interaction that we have found above. In this case the popular and naïve view of
technology as applied science is far too simple and directly misleading. Medical research is heavily supported in the
strong belief that scientific advance will produce new cures and wonder-drugs. It is perhaps part of the special pleading
that scientists have made, more or less successfully, since the days when
Archimedes and Leonardo sought state support for pure scientific research by
telling about the technology they could master to produce engines of war and
other desirable things. There is a
long-standing mystique and mythology which perhaps needs questioning by the
deeper analysis of this science-technology relationship. Any excuse that gets support for science and
technology is a good thing up to the point (which has now been reached in some
countries) where society cannot afford to make greater investment and must then
decide what to abandon and what to continue and expand. I am afraid that the naïve image of technology
as “applied science” will be difficult to refine and understand in greater
depth. But until we know what the rhythm
is and how both dancers move to it we shall not have a proper understanding of
the history of technology, and until we know that we shall not be able to make
intelligent judgments in such critical areas as the support of science and
technology and medicine by state and industry.
567
In summary, therefore, we can say the
following:
1. Science has a cumulating, close-knit
structure; that is, new knowledge seems to flow from highly related and rather
recent pieces of old knowledge, as displayed in the literature.
2. This property is what distinguishes
science from technology and from humanistic scholarship.
3. This property accounts for many known
social phenomena in science, and also for its surefootedness and high rate of
exponential growth.
4. Technology shares with science the
same high growth rate, but shows quite complementary social phenomena,
particularly in its attitude to the literature.
5. Technology therefore may have a
similar, cumulating, close-knit structure to that of science, but of the state
of the art, rather than of the literature.
6. Science and technology each therefore
have their own separate cumulating structures.
7. Since the structures are separate,
only in special and traumatic cases involving the breaking of a paradigm can
there be a direct flow from the research front of science to that of technology
or vice versa.
8. It is probable that research-front
technology is strongly related only to that part of scientific knowledge that
has been packed down as part of ambient learning and education, not to
research-front science.
9. Similarly, research-front science is
related only to the ambient technological knowledge of the previous generation
of students, not to the research front of the technological state of the art
and its innovations.
10. This reciprocal relation between
science and technology, involving the research front of one and the accrued
archive of the other, is nevertheless sufficient to keep the two in phase in
their separate growths within each otherwise independent cumulation.
11. It is therefore naïve to regard
technology as applied science, or clinical practice as applied medical science.
12. Because of this one should beware of
any claims that particular scientific research is needed for particular
technological potentials, and vice versa. Both cumulations can only be supported for
their own separate ends.
568