Science as an Institution and as an Ideal
13 April 2021
Tuesday
Science as an institution today consists of colleges and universities, which are in part funded by government money that is parceled out in the form of grants and loans, decided upon by numerous committees (themselves institutions), which money is often funneled through additional committees once it arrives at a given institution. (It is well known among academics that one must attempt to get a grant twice the size that one needs, since the institution is going to take half of it.) Individual laboratories are also institutions within institutions, whether they are within the government, within a university, or within private industry.
There are numerous scientific societies, many of them distinguished by long histories and eminent alumni, which are formally organized as institutions for the advancement of science and also to assist individual scientists in the pursuit of research goals as well as career advancement. There are student associations with disciplinary specializations, which advocate for early career researchers.
There are also publishers of journals and books (often purchased by university libraries) who accept manuscripts from individuals frequently employed in institutions of higher education, and which when published are frequently read by both students and instructors at institutions of higher education. Students attend these institutions and read these materials in order to obtain a credential provided by these institutions, which gives them an institutional stamp of approval, and some of them will go on to themselves become instructors in this system of higher education.
A battery of subsidiary institutions support and facilitate these primary scientific institutions, and the whole system ripples out through the economy like Adam Smith’s famous example of a day laborer’s woollen coat (I quote this passage in The Technology of Living). The many and various institutions of science as an institution thus cannot be cleanly separated from wider society, as any attempt to isolate them would involve a sorites paradox: where do we draw the line between economic, social, and cultural activities that are scientific and those that are not?
Science as an ideal has no institutions to support it; science as an ideal exists only in the minds of a number of individuals to aspire to scientific inquiry and the growth of scientific knowledge. The scientific ideal serves as a norm against which individuals and even some institutions measure their progress in scientific inquiry and the growth of scientific knowledge. This ideal is not about the particular details of the discipline to which any given scientist may contribute, but rather it addresses a broader vision of the conduct of an ideal life in science, or even an ideal scientific institution, which puts scientific truth before any other consideration, and never fears to speak out on behalf of impartial and objective inquiry.
While science as an institution nominally supports science as an ideal, we all know that science as an ideal often finds itself in conflict with science as an institution. Institutions inevitably come to be dominated by individuals and their personalities, or by cliques of individuals. Ultimately, cliques in control of scientific institutions do far more damage to the scientific ideal than even the most boorish personalities. Individuals eventually die, allowing science to progress one funeral at a time; cliques can impose a stranglehold upon an institution for generations, and often do.
Must science be institutionalized and thus subject to these human, all-too-human frailties and pettiness? It may well be inevitable that science becomes institutionalized, and not only institutionalized, but institutionalized at the largest scale as “big science,” which increasingly plays a prominent role in contemporary scientific knowledge. In many disciplines all the low-hanging fruit of scientific knowledge has been plucked, so that the further growth of scientific knowledge requires coordinated effort over periods of time that can be measured in the overlapping careers of multiple scientists, and this means that “big science” becomes increasingly unavoidable as scientific knowledge advances.
Big science is a kind of informal institution; most involved in big science understand intuitively how it works, i.e., that they are involving themselves with a scientific research program that requires the resources of government, industry, and educational institutions working together over a period of time that is likely to exceed the entire length of an individual’s career as a scientist. A major scientific instrument constructed within the paradigm of big science will almost certainly have a formal institutional structure—think of the LHC, for example—but such big science institutions exist within a larger informal institution—in the case of the LHC, this larger informal institution is the coordinated effort of many teams of scientists at many particle accelerators to elaborate the Standard Model, whether through refining and extending it, or through finding some inadequacy in it, and thus setting physics on a new path.
Even particular scientific research programs—say, to continue with the theme of particle physics, the research program into supersymmetry, or string theory—transcend most formal institutions, in the sense that they are expressed in a number of distinct institutional contexts, even as they find their place within the even larger informal institution of particle physics and big science. Scientific research programs are informal institutions greater than most formal institutions, but less comprehensive than big science, or science itself.
We can see, then, that big science is constituted by a network of formal and informal institutions that overlap and interact. These many institutions, both formal and informal, also overlap and interact with science as an ideal. For science as an ideal is also, like science as an institution, not one thing only, but many things—playing many roles in many different lives. Within the ideal of science there are ideals for science itself—the idealization of the scientific method, the final form of which is out of reach, but nevertheless can be more closely approximated with each scientific effort—as well as ideals for individuals practicing science, and ideals for scientific institutions.
It is possible that some of the ideas of ideal science are more applicable in one life than in another, and more applicable in one institution than in another. One scientist may see himself as a living embodiment of the scientific method, another as a personal exemplification of the ideal scientist, and a third as a loyal and dedicated member of a scientific institution (a true believer in institutions, as I described years ago in A Third Temperament). Thus the multiplicity of scientific ideals is interwoven with the multiplicity of scientific institutions. And, just as there are formal and informal scientific institutions, there are formal and informal scientific ideals. The scientific method, to the extent that it is explicitly codified, is a formal ideal of science. The aspiration to pure scientific impartiality and objectivity is an informal ideal of science.
Formal institutions, needless to say, favor formal ideals; informal institutions grow out of an intuitive appreciation of informal ideals. An explicitly constituted institutions can codify the explicitly formulated codification of scientific method into its institutional imperatives, for example, by requiring all projects superintended by the institution to embody some particular concrete expression of the scientific method. The implicit ideals of informal scientific ideals cannot be adopted in any meaningful way by an institution, even if that institution authentically abides by the ideals of science.
In all of this there is something hopeful and something dispiriting. Not myself belonging to the third temperament, it is difficult for me to see institutions as anything other than a betrayal of the individual and of the ideals of the individual. All science, as I see it, ultimately grows from the root of the informal scientific ideal, which has moved individuals to greater effort, to greater achievement, to greater knowledge, and to greater rigor. The growth of institutional science and big science militates against this personal ideal. That is the dispiriting aspect. The encouraging aspect, on the other hand, is the knowledge that into every generation some individuals with the authentic scientific temperament are born, who respond naturally to scientific ideals. These individuals can and will further render the scientific ideal explicit, and the extent to which it can be rendered explicit, it can be adopted by institutions. Even if these institutions are corrupt, they will become irrelevant if they stagnate. In order not to stagnate, they must draw upon those who are authentically inspired by scientific ideals, who produce the explicit formulations of that ideal that can be adopted by institutions. So there is hope, after a fashion, even if there is also despair.
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Science, Knowledge, and Civilization
12 June 2014
Thursday
Scientific civilization changes when scientific knowledge changes, and scientific knowledge changes continuously. Science is a process, and that means that scientific civilization is based on a process, a method. Science is not a set of truths to which one might assent, or from which one might withhold one’s assent. It is rather the scientific method that is central to science, and not any scientific doctrine. Theories will evolve and knowledge will change as the scientific method is pursued, and the method itself will be refined and improved, but method will remain at the heart of science.
Pre-scientific civilization was predicated on a profoundly different conception of knowledge: the idea that truth is to be found at the source of being, the fons et origo of the world (as I discussed in my last post, The Metaphysics of the Bureaucratic Nation-State). Knowledge here consists of delineating the truth of the world prior to its later historical accretions, which are to be stripped away to the extent possible. More experience of the world only further removes us from the original source of the world. The proper method of arriving at knowledge is either through the study of the original revelation of the original truth, or through direct communion with the source and origin of being, which remains unchanged to this day (according to the doctrine of divine impassibility).
The central conceit of agrarian-ecclesiastical civilization to be based upon revealed eternal verities has been so completely overturned that its successor civilization, industrial-technological civilization, recognizes no eternal verities at all. Even the scientific method, that drives the progress of science, is continually being revised and refined. As Marx put it in the Communist Manifesto: “All fixed, fast-frozen relations, with their train of ancient and venerable prejudices and opinions, are swept away, all new-formed ones become antiquated before they can ossify. All that is solid melts into air…”
Scientific civilization always looks forward to the next development in science that will resolve our present perplexities, but this comes at the cost of posing new questions that further put off the definitive formulation of scientific truth, which remains perpetually incomplete even as it expands and becomes more comprehensive.
This has been recently expressed by Kevin Kelly in an interview:
“Every time we use science to try to answer a question, to give us some insight, invariably that insight or answer provokes two or three other new questions. Anybody who works in science knows that they’re constantly finding out new things that they don’t know. It increases their ignorance, and so in a certain sense, while science is certainly increasing knowledge, it’s actually increasing our ignorance even faster. So you could say that the chief effect of science is the expansion of ignorance.”
The Technium: A Conversation with Kevin Kelly [02.03.2014]
Scientific civilization, then, is not based on a naïve belief in progress, as is often alleged, but rather embodies an idea of progress that is securely founded in the very nature of scientific knowledge. There is nothing naïve in the scientific conception of knowledge; on the contrary, the scientific conception of knowledge had a long and painfully slow gestation in western civilization, and it is rather the paradigm that science supplants, the theological conception of knowledge (according to which all relevant truths are known from the outset, and are never subject to change), that is the naïve conception of knowledge, sustainable only in the infancy of civilization.
We are coming to understand that our own civilization, while not yet mature, is a civilization that has developed beyond its infancy to the degree that the ideas and institutions of infantile civilization are no longer viable, and if we attempt to preserve these ideas and institutions beyond their natural span, the result may be catastrophic for us. And so we have come to the point of conceptualizing our civilization in terms of existential risk, which is a thoroughly naturalistic way of thinking about the fate and future of humanity, and is amenable to scientific treatment.
It would be misleading to attribute our passing beyond the infancy of civilization to the advent of the particular civilization we have today, industrial-technological civilization. Even without the industrial revolution, scientific civilization would likely have gradually come to maturity, in some form or another, as the scientific revolution dates to that period of history that could be called modern civilization in the narrow sense — what I have called Modernism without Industrialism. And here by “maturity” I do not mean that science is exhausted and can produce no new scientific knowledge, but that we become reflexively aware of what we are doing when we do science. That is to say, scientific maturity is when we know ourselves to be engaged in science. In so far as “we” in this context means scientists, this was probably largely true by the time of the industrial revolution; in so far as “we” means mass man of industrial-technological civilization, it is not yet true today.
The way in which science enters into industrial-technological civilization — i.e., by way of spurring forward the open loop of industrial-technological civilization — means that science has been incorporated as an integral part of the civilization that immediately and disruptively followed the scientific civilization of modernism without industrialism (according to the Preemption Hypothesis). While the industrial revolution disrupted and preempted almost every aspect of the civilization that preceded it, it did not disrupt or preempt science, but rather gave a new urgency to science.
In several posts I have speculated on possible counterfactual civilizations (according to the counterfactuals implicit in naturalism), that is to say, forms of civilization that were possible but which were not actualized in history. One counterfactual civilization might have been agrarian-ecclesiastical civilization undisrupted by the scientific or industrial revolutions. Another counterfactual civilization might have been modern civilization in the narrow sense (i.e., Modernism without Industrialism) coming to maturity without being disrupted and preempted by the industrial revolution. It now occurs to me that yet another counterfactual form of civilization could have been that of industrialization without the scientific conception of knowledge or the systematic application of science to industry.
How could this work? Is it even possible? Perhaps not, and certainly not in the long term, or with high technology, which cannot exist without substantial scientific understanding. But the simple expedient of powered machinery might have come about by the effort of tinkerers, as did much of the industrial revolution as it happened. If we look at the halting and inconsistent efforts in the ancient world to produce large scale industries we get something of this idea, and this we could call industrialism without modernity. Science was not yet at the point at which it could be very helpful in the design of machinery; none of the sciences were yet mathematicized. And yet some large industrial enterprises were built, though few in number. It seems likely that it was not the lack of science that limited industrialization in classical antiquity, but the slave labor economy, which made labor-saving devices pointless.
There are, today, many possibilities for the future of civilization. Technically, these are future contingents (like Aristotle’s sea battle tomorrow), and as history unfolds one of these contingencies will be realized while the others become counterfactuals or are put off yet further. And in so far as there is a finite window of opportunity for a particular future contingent to come into being, beyond that window all unactualized contingents become counterfactuals.
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I have written more on the nature of scientific civilization in…
David Hume and Scientific Civilization …and…
The Relevance of Philosophy of Science to Scientific Civilization
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The Retrodiction Wall
23 October 2013
Wednesday
Prediction in Science
One of the distinguishing features of science as a system of thought is that it makes testable predictions. The fact that scientific predictions are testable suggests a methodology of testing, and we call the scientific methodology of testing experiment. Hypothesis formation, prediction, experimentation, and resultant modification of the hypothesis (confirmation, disconfirmation, or revision) are all essential elements of the scientific method, which constitutes an escalating spiral of knowledge as the scientific method systematically exposes predictions to experiment and modifies its hypotheses in the light of experimental results, which leads in turn to new predictions.
The escalating spiral of knowledge that science cultivates naturally pushes that knowledge into the future. Sometimes scientific prediction is even formulated in reference to “new facts” or “temporal asymmetries” in order to emphasize that predictions refer to future events that have not yet occurred. In constructing an experiment, we create a few set of facts in the world, and then interpret these facts in the light of our hypothesis. It is this testing of hypotheses by experiment that establishes the concrete relationship of science to the world, and this is also a source of limitation, for experiments are typically designed in order to focus on a single variable and to that end an attempt is made to control for the other variables. (A system of thought that is not limited by the world is not science.)
Alfred North Whitehead captured this artificial feature of scientific experimentation in a clever line that points to the difference between scientific predictions and predictions of a more general character:
“…experiment is nothing else than a mode of cooking the facts for the sake of exemplifying the law. Unfortunately the facts of history, even those of private individual history, are on too large a scale. They surge forward beyond control.”
Alfred North Whitehead, Adventures of Ideas, New York: The Free Press, 1967, Chapter VI, “Foresight,” p. 88
There are limits to prediction, and not only those pointed out by Whitehead. The limits to prediction have been called the prediction wall. Beyond the prediction wall we cannot penetrate.
The Prediction Wall
John Smart has formulated the idea of a prediction wall in his essay, “Considering the Singularity,” as follows:
With increasing anxiety, many of our best thinkers have seen a looming “Prediction Wall” emerge in recent decades. There is a growing inability of human minds to credibly imagine our onrushing future, a future that must apparently include greater-than-human technological sophistication and intelligence. At the same time, we now admit to living in a present populated by growing numbers of interconnected technological systems that no one human being understands. We have awakened to find ourselves in a world of complex and yet amazingly stable technological systems, erected like vast beehives, systems tended to by large swarms of only partially aware human beings, each of which has only a very limited conceptualization of the new technological environment that we have constructed.
Business leaders face the prediction wall acutely in technologically dependent fields (and what enterprise isn’t technologically dependent these days?), where the ten-year business plans of the 1950’s have been replaced with ten-week (quarterly) plans of the 2000’s, and where planning beyond two years in some fields may often be unwise speculation. But perhaps most astonishingly, we are coming to realize that even our traditional seers, the authors of speculative fiction, have failed us in recent decades. In “Science Fiction Without the Future,” 2001, Judith Berman notes that the vast majority of current efforts in this genre have abandoned both foresighted technological critique and any realistic attempt to portray the hyper-accelerated technological world of fifty years hence. It’s as if many of our best minds are giving up and turning to nostalgia as they see the wall of their own conceptualizing limitations rising before them.
Considering the Singularity: A Coming World of Autonomous Intelligence (A.I.) © 2003 by John Smart (This article may be reproduced for noncommercial purposes if it is copied in its entirety, including this notice.)
I would to suggest that there are at least two prediction walls: synchronic and diachronic. The prediction wall formulated above by John Smart is a diachronic prediction wall: it is the onward-rushing pace of events, one following the other, that eventually defeats our ability to see any recognizable order or structure of the future. The kind of prediction wall to which Whitehead alludes is a synchronic prediction wall, in which it is the outward eddies of events in the complexity of the world’s interactions that make it impossible for us to give a complete account of the consequences of any one action. (Cf. Axes of Historiography)
Retrodiction and the Historical Sciences
Science does not live by prediction alone. While some philosophers of science have questioned the scientificity of the historical sciences because they could not make testable (and therefore falsifiable) predictions about the future, it is now widely recognized that the historical sciences don’t make predictions, but they do make retrodictions. A retrodiction is a prediction about the past.
The Oxford Dictionary of Philosophy by Simon Blackburn (p. 330) defines retrodiction thusly:
retrodiction The hypothesis that some event happened in the past, as opposed to the prediction that an event will happen in the future. A successful retrodiction could confirm a theory as much as a successful prediction.
I previously wrote about retrodiction in historical sciences, Of What Use is Philosophy of History in Our Time?, The Puppet Always Wins, and Futurism without predictions.
As with predictions, there is also a limit to retrodiction, and this is the retrodiction wall. Beyond the retrodiction wall we cannot penetrate.
I haven’t been thinking about this idea for long enough to fully understand the ramifications of a retrodiction wall, so I’m not yet clear about whether we can distinction diachronic retrodiction and synchronic retrodiction. Or, rather, it would be better to say that the distinction can certainly be made, but that I cannot think of good contrasting examples of the two at the present time.
Effective History
We can define a span of accessible history that extends from the retrodiction wall in the past to the prediction wall in the future as what I will call effective history (by analogy with effective computability). Effective history can be defined in a way that is closely parallel to effectively computable functions, because all of effective history can be “reached” from the present by means of finite, recursive historical methods of inquiry.
Effective history is not fixed for all time, but expands and contracts as a function of our knowledge. At present, the retrodiction wall is the Big Bang singularity. If anything preceded the Big Bang singularity we are unable to observe it, because the Big Bang itself effectively obliterates any observable signs of any events prior to itself. (Testable theories have been proposed that suggest the possibility of some observable remnant of events prior to the Big Bang, as in conformal cyclic cosmology, but this must at present be regarded as only an early attempt at such a theory.)
Prior to the advent of scientific historiography as we know it today, the retrodiction wall was fixed at the beginning of the historical period narrowly construed as written history, and at times the retrodiction wall has been quite close to the present. When history experiences one of its periodic dark ages that cuts it off from his historical past, little or nothing may be known of a past that once familiar to everyone in a given society.
The emergence of agrarian-ecclesiastical civilization effectively obliterated human history before itself, in a manner parallel to the Big Bang. We know that there were caves that prehistorical peoples visited generation after generation for time out of mind, over tens of thousands of years — much longer than the entire history of agrarian-ecclesiastical civilization, and yet all of this was forgotten as though it had never happened. This long period of prehistory was entirely lost to human memory, and was not recovered again until scientific historiography discovered it through scientific method and empirical evidence, and not through the preservation of human memory, from which prehistory had been eradicated. And this did not occur until after agrarian-ecclesiastical civilization had lapsed and entirely given way to industrial-technological civilization.
We cannot define the limits of the prediction wall as readily as we can define the limits of the retrodiction wall. Predicting the future in terms of overall history has been more problematic than retrodicting the past, and equally subject to ideological and eschatological distortion. The advent of modern science compartmentalized scientific predictions and made them accurate and dependable — but at the cost of largely severing them from overall history, i.e., human history and the events that shape our lives in meaningful ways. We can make predictions about the carbon cycle and plate tectonics, and we are working hard to be able to make accurate predictions about weather and climate, but, for the most part, our accurate predictions about the future dispositions of the continents do not shape our lives in the near- to mid-term future.
I have previously quoted a famous line from Einstein: “As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.” We might paraphrase this Einstein line in regard to the relation of mathematics to the world, and say that as far as scientific laws of nature predict events, these events are irrelevant to human history, and in so far as predicted events are relevant to human beings, scientific laws of nature cannot predict them.
Singularities Past and Future
As the term “singularity” is presently employed — as in the technological singularity — the recognition of a retrodiction wall in the past complementary to the prediction wall in the future provides a literal connection between the historiographical use of “singularity” and the use of the term “singularity” in cosmology and astrophysics.
Theorists of the singularity hypothesis place a “singularity” in the future which constitutes an absolute prediction wall beyond which history is so transformed that nothing beyond it is recognizable to us. This future singularity is not the singularity of astrophysics.
If we recognize the actual Big Bang singularity in the past as the retrodiction wall for cosmology — and hence, by extension, for Big History — then an actual singularity of astrophysics is also at the same time an historical singularity.
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I have continued my thoughts on the retrodiction wall in Addendum on the Retrodiction Wall.
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Some Formulations of Methodological Naturalism
16 October 2011
Sunday
In several earlier posts I have made a trial of distinct definitions of naturalism. These posts include:
● A Formulation of Naturalism
● Two Thoughts on Naturalism
● Naturalism: Yet Another Formulation, and
● Naturalism and Object Oriented Ontology
I regard all of these formulations of tentative, but there may be something to learn from these tentative formulations if we employ them as a kind of experiment for understanding methodological naturalism. That is to say, each of these attempts to formulate naturalism implies a formulation of methodological naturalism. Furthermore, in so far as methodological naturalism is definitive of contemporary science, each formulation of methodological naturalism implies a distinct conception of science.
In A Formulation of Naturalism I suggested that, “Naturalism is on a par with materialism, and philosophically is to be treated as far as possible like materialism.”
In Two Thoughts on Naturalism I suggested that “Naturalism is on a par with mechanism, and philosophically is to be treated as far as possible like mechanism.” I also suggested that, “Naturalism entails that all ideas will first be manifest in embodied form… there are no abstract ideas that are given to us as abstract ideas; all ideas are ultimately derived from experience.”
In Naturalism: Yet Another Formulation I noted that these earlier efforts at formulations of naturalism are implicitly parsimonious, tending toward conceptual minimalism, and further suggested that, “we can characterize naturalism in terms of a quantitative parsimony, following quantitative formulations as far as they will go, and only appealing to qualitative formulations when quantitative formulations break down.” There is a sense, then, in which we can speak of deflationary naturalism. In so far as these formulations of naturalism embody the principle of parsimony, we need not separately formulate the principle of parsimony as a regulative norm of science.
In Naturalism and Object Oriented Ontology I suggested that an approach to naturalism might be made by way of object oriented ontology, which I there compared to Colin McGinn’s transcendental naturalism thesis, i.e., that the world is “flatly natural” though we are unable to see this for what it is because of our perceptual and cognitive limitations.
While when I first formulated naturalism such that, “Naturalism is on a par with materialism, and philosophically is to be treated as far as possible like materialism,” I intended naturalism as consisting of a more comprehensive scope than materialism, though when applied to the scientific method I see that it can be taken as a doctrine of limiting one’s scope to the problem at hand. This approach to science is as familiar as Newton’s aphorism, Hypotheses non fingo. Science often proceeds by providing a very limited explanation for a very limited range of phenomena. This leaves many explanatory gaps, but the iteration of the scientific method means that subsequent scientists return to the gaps time and again, and when they do so they do so from the perspective of the success of the earlier explanation of surrounding phenomena. Once a species of explanation becomes generally received as valid, the perception of the later extension of this species of explanation (perhaps already considered radical in its initial formulation) becomes more acceptable, and more explanatory power can be derived from the explanation.
Similar considerations to those above hold for the same formulation in terms of mechanism rather than materialism, or in terms of quantification rather than materialism. Initial formulations of mechanism (or quantification) can be crude and seem only to apply to macroscopic features, and is possibly seen as impossibly awkward to explain the fine-grained features of the world. As the mechanistic explanation becomes more refined and flexible, the idea of its application to more delicate matters appears less problematic.
An object-oriented ontological account of naturalism would be the most difficult to formulate and would take us the farthest from methodological concerns and the deepest into ontological concerns, so I will not pursue this at present (as I write this I can feel that my mind is not up to the task at the moment), but I will only mention it here as a viable possibility.
In any case, our formulations of methodological naturalism based on these formulations of naturalism would run something like this:
● Methodological materialism pursued as far as possible, leaving any non-material account aside
● Methodological mechanism pursued as far as possible, leaving any non-mechanistic account aside
● Methodological quantification pursued as far as possible, leaving any qualitative account aside
● Methodological flat naturalism, or transcendental naturalism, pursued as fas a possible, leaving any non-flat or non-transcendental account aside
I think that all of these approaches do, in fact, closely describe the methodology of the scientific method, especially as I mentioned above considered from the perspective of the growth of knowledge through the iteration of the scientific method.
The growth of knowledge through the iteration of the scientific method is a formulation of the historicity of scientific knowledge in terms of the future of that knowledge. The formulation of the historicity of scientific knowledge in terms of the past is nothing other than that embodied in the Foucault quote that, “A real science recognizes and accepts its own history without feeling attacked.” (from “Truth, Power, Self: An Interview with Michel Foucault”)
All present scientific knowledge will eventually become past scientific knowledge, and it will become past knowledge through the continued pursuit of the scientific method, which is to say, methodological naturalism in some form or another.
The distant future of scientific knowledge, if only we had access to it, would seem as unlikely and as improbable as the distant past of scientific knowledge, but the past, present, and future of scientific knowledge are all connected in a continuum of iterated method.
It is ultimately the task of philosophy of see scientific knowledge whole, and to this end we must see the whole temporal continuum as the expression of science, and not any one, single point on the continuum as definitive of science. The unity of science, then, is the unity of the scientific method that is the connective tissue between these diverse epochs of science, part, present, and future.
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