Cet article vise à réévaluer quelle peut être l’autorité de la science en société aujourd’hui. Partant de l’époque du positivisme, il retrace dans un premier temps l’évolution globale des positions académiques sur la science et son autorité pour identifier les principaux arguments qui, en philosophie, histoire et sociologie des sciences, ont contribué à affaiblir l’autorité de la science en société. Dans un second temps, il propose une approche inspirée de celle de Popper pour montrer que l’autorité de la science peut (...) se bâtir graduellement, en partant du niveau observationnel pour se transmettre aux autres strates de la connaissance scientifique. (shrink)

In many scientific fields, today’s practices of empirical enquiry rely heavily on the production of images that display the investigated phenomena. And while scientific images of phenomena have been important for a long time, what is striking now is that scientists have found ways to visualize such widely different types of phenomena. In the past twenty or thirty years, we have become accustomed to seeing images of galaxies, of cells, of the human brain but also of blood flow or of (...) turbulent fluids. This success in making images relies first on the set of imaging devices that have flourished in the twentieth century, instruments such as radio-telescopes, electronic microscopes, MRI and many more. Without these... (shrink)

This article explores whether theory-ladenness makes empirical testing an inse cure foundation for objectivity. Specifically, this article uses path diagrams as visual heuristics to assist in (1) developing a parsimonious representation of the traditional empiricist view of empirical testing, (2) showing how the "New Image" view ostensibly threatens the objectivity of science, (3) proposing a unified, realist theory of empirical testing, (4) developing a representation of the unified theory, (5) exploring several potential threats to objectivity, (6) discussing the proposed theory's (...) implications for social science, and (7) adumbrating three foundational premises for scientific realism. (shrink)

Some solo verbal reasoning serves the function of arriving at a correct answer to a question from information at the reasoner’s disposal. Such reasoning is good if and only if its grounds are justified and adequate, its warrant is justified, and the reasoner is justified in assuming that no defeaters apply. I distinguish seven sources of justified grounds and state the conditions under which each source is trustworthy. Adequate grounds include all good relevant information practically obtainable by the reasoner. The (...) claim must follow from the grounds in accordance with a justified general warrant. If this warrant is not universal, the reasoner must be justified in assuming that no exception-making circumstances hold in the particular case to which it is applied. (shrink)

This essay attempts to distinguish the pressing issues for economists and economic methodologists concerning realism in economics from those issues that are of comparatively slight importance. In particular I shall argue that issues concerning the goals of science are of considerable interest in economics, unlike issues concerning the evidence for claims about unobservables, which have comparatively little relevance. In making this argument, this essay raises doubts about the two programs in contemporary economic methodology that raise the banner of realism. In (...) particular I argue that the banner makes it more difficult to relate the concerns of those who wave it to those of other methodologists. Although this essay argues that many of the debates in this century between scientific realists and their opponents are not relevant to economics, it does not attack scientific realism, and it does not urge economists or economic methodologists to reject it. (shrink)

My Representing and Intervening (1983) concludes with what it calls an experimental argument for scientific realism about entities. The argument is evidently inapplicable to extragalactic astrophysics, but leaves open the possibility that there might be other grounds for scientific realism in that domain. Here I argue for antirealism in astrophysics, although not for any particular kind of antirealism. The argument is conducted by a detailed examination of some current research. It parallels the last chapter of (1983). Both represent the methodological (...) opinion that abstract or semantic realism/antirealism debates are empty, and typically lead to confused or wrong conclusions because they pay so little attention to the details of a science. (shrink)

It is argued that neither the "theory-informity" of observations nor the Quine-Duhem thesis pose any in principle threat to the objectivity of theory evaluation. The employment of exploratory theories does not generate incommensurability, but on the contrary is responsible for the mensurability and commensurability of explanatory theories, since exploratory theories enable scientists to make observations which are critical in the evaluation of explanatory theories. The employment of exploratory theories and other auxiliary hypotheses does not enable a theory to always accommodate (...) recalcitrant observations to preserve evidential equivalence with a rival theory. Explanatory theories become rapidly degenerating if exploratory theories or other auxiliary hypotheses which inform the original confirmation base are modified to accommodate recalcitrant observations. (shrink)

This article addresses the problem of the impact of a major change in the "instrumentation space" of a given scientific domain. The domain under scrutiny is turbulent combustion. It has the peculcarcty of being developed, essentially since the 1940s, by the progressive interpenetration of two autonomous fields, the chemistry of combustion and the mechanics of turbulence. The analyzed change in instrumentation is a major one in that the new laser-based optical diagnostic techniques which, since the 1970s, invaded turbulent combustcon, allowed (...) for the first time the quantitative characterization of turbulent reacting flows. The impact of this new instrumentation on the relations between experimental and theoretical lines of work is analyzed. These relations concern both the global organization of the workplace and the scientific "division of labor" between theoreticians and experimentalists. The impact of the sudden availability of new experimental information on the cognitive structure of this borderland domain is also explored. (shrink)

In its original form due to Ian Hacking, entity realism postulates a criterion of manipulative success which replaces explanatory virtue as the criterion of justified scientific belief. The article analyses the foundations on which this postulate rests and identifies the conditions on which one can derive a form of entity realism from it. It then develops in detail an extensive class of counterexamples, drawing on the notion of quasi-particles in condensed matter physics. While the phenomena associated with quasi-particles pass the (...) entity realist's criterion of manipulative success, quasi-particles themselves are illusions, and can be seen to be so even on the basis of the largely non-theoretical "home truths" that one must be ready to admit as background knowledge. Hence, Hacking's entity realism is shown to be incoherent. (shrink)

The act of observing is crucial for constructive empiricism, Bas van Fraassen's celebrated position on the aim of science. As Buekens and Muller noted in 2012, the Dutch philosopher should have characterized observation as an intentional act, because observation in science has a purpose. In the present article, which will also address the distinction between observing and observing that, introduced by Hanson and Dretske, it will be shown that considerations about the intentionality of the act of observing are, on the (...) contrary, unnecessary for drawing the distinction between observable and unobservable entities on which constructive empiricism depends. (shrink)

Astroparticle physics is an interdisciplinary field embracing astronomy, astrophysics and particle physics. In a recent paper on this topic, Brigitte Falkenburg defended that only scientific realism can make sense of it and that realist beliefs constitute an indispensable methodological principle of research in this discipline. The aim of this work is to show that there exists an anti-realist alternative to this account, along the lines of what Bas van Fraassen showed in his famous book The Scientific Image. Problems and results (...) of astroparticle physics can be understood from an empiricist point of view too, namely that of van Fraassen’s constructive empiricism, which is a more modest and metaphysics-free alternative to scientific realism. Although constructive empiricism can make sense of science no worse than scientific realism does, van Fraassen’s goal is not to demonstrate that his stance is the only viable position, but just that it is not incoherent or proven false by his opponents. In this paper it will be shown that the constructive empiricist stance constitutes a legitimate alternative to scientific realism even when it gets to astroparticle physics and that it does indeed make sense of this new discipline, pace Falkenburg. (shrink)

Philosophers of science diverge on the question what drives the growth of scientific knowledge. Most of the twentieth century was dominated by the notion that theories propel that growth whereas experiments play secondary roles of operating within the theoretical framework or testing theoretical predictions. New experimentalism, a school of thought pioneered by Ian Hacking in the early 1980s, challenged this view by arguing that theory-free exploratory experimentation may in many cases effectively probe nature and potentially spawn higher evidence-based theories. Because (...) theories are often powerless to envisage workings of complex biological systems, theory-independent experimentation is common in the life sciences. Some such experiments are triggered by compelling observation, others are prompted by innovative techniques or instruments, whereas different investigations query big data to identify regularities and underlying organizing principles. A distinct fourth type of experiments is motivated by a major question. Here I describe two question-guided experimental discoveries in biochemistry: the cyclic adenosine monophosphate mediator of hormone action and the ubiquitin-mediated system of protein degradation. Lacking underlying theories, antecedent data bases, or new techniques, the sole guides of the two discoveries were respective substantial questions. Both research projects were similarly instigated by theory-free exploratory experimentation and continued in alternating phases of results-based interim working hypotheses, their examination by experiment, provisional hypotheses again, and so on. These two cases designate theory-free, question-guided, stepwise biochemical investigations as a distinct subtype of the new experimentalism mode of scientific enquiry. (shrink)

Cet article pose la question de savoir si les quarks — constituants élémentaires de la matière et dernières particules de la physique des hautes énergies à avoir été confirmées — peuvent être observés de manière directe ou indirecte. D’abord, des définitions antérieures de « l’observation » en physique seront examinées — en l’occurrence, celles proposées par Grover Maxwell, Bas van Fraassen et Dudley Shapere. Puis, leurs résultats seront comparés à une définition du concept d’observation et à une différenciation entre l’observation (...) directe et indirecte. Une possibilité de mettre en évidence les quarks de manière expérimentale est le phénomène des jet-events, qui représentent un type spécifique de désagrégation dans les détecteurs de particules. Ces jet-events contribuent à l’étude de cas ici centrale, puisqu’ils sont la preuve la plus convaincante à ce jour des quarks. L’examen de jet-events et leurs évaluations par des physiciens mènent à la conclusion que les quarks ne peuvent être observés, ni directement ni indirectement. Cette thèse sera comparée aux points de vue de Kristin Shrader-Frechette et Michela Massimi sur l’observabilité des quarks. On en tire la conclusion que les quarks ne sont pas observables, si l’on entend employer le terme « observation » dans un sens non métaphorique et en conservant une relation avec ses usages dans la vie quotidienne. (shrink)

Cet article pose la question de savoir si les quarks — constituants élémentaires de la matière et dernières particules de la physique des hautes énergies à avoir été confirmées — peuvent être observés de manière directe ou indirecte. D’abord, des définitions antérieures de « l’observation » en physique seront examinées — en l’occurrence, celles proposées par Grover Maxwell, Bas van Fraassen et Dudley Shapere. Puis, leurs résultats seront comparés à une définition du concept d’observation et à une différenciation entre l’observation (...) directe et indirecte. Une possibilité de mettre en évidence les quarks de manière expérimentale est le phénomène des jet-events, qui représentent un type spécifique de désagrégation dans les détecteurs de particules. Ces jet-events contribuent à l’étude de cas ici centrale, puisqu’ils sont la preuve la plus convaincante à ce jour des quarks. L’examen de jet-events et leurs évaluations par des physiciens mènent à la conclusion que les quarks ne peuvent être observés, ni directement ni indirectement. Cette thèse sera comparée aux points de vue de Kristin Shrader-Frechette et Michela Massimi sur l’observabilité des quarks. On en tire la conclusion que les quarks ne sont pas observables, si l’on entend employer le terme « observation » dans un sens non métaphorique et en conservant une relation avec ses usages dans la vie quotidienne. (shrink)

Focusing on Shannon information, this article shows that, even on the basis of the same formalism, there may be different interpretations of the concept of information, and that disagreements may be deep enough to lead to very different conclusions about the informational characterization of certain physical situations. On this basis, a pluralist view is argued for, according to which the concept of information is primarily a formal concept that can adopt different interpretations that are not mutually exclusive, but each useful (...) in a different specific context. (shrink)

Astroparticle physics is a recent sub-discipline of physics that emerged from early cosmic ray studies, astrophysics, and particle physics. Its theoretical foundations range from quantum field theory to general relativity, but the underlying “standard models” of cosmology and particle physics are far from being unified. The paper explores the pragmatic strategies employed in astroparticle physics in order to unify a disunified research field, the concept of observation involved in these strategies, and their relations to scientific realism.

Experiments (E), computer simulations (CS) and thought experiments (TE) are usually seen as playing different roles in science and as having different epistemologies. Accordingly, they are usually analyzed separately. We argue in this paper that these activities can contribute to answering the same questions by playing the same epistemic role when they are used to unfold the content of a well-described scenario. We emphasize that in such cases, these three activities can be described by means of the same conceptual framework—even (...) if each of them, because they involve different types of processes, fall under these concepts in different ways. We further illustrate our claims by presenting a threefold case study describing how a TE, a CS and an E were indeed used in the same role at different periods to answer the same questions about the possibility of a physical Maxwellian demon. We also point at fluid dynamics as another field where these activities seem to be playing the same unfolding role. We analyze the importance of unfolding as a general task of science and highlight how our description in terms of epistemic functions articulates in a noncommittal way with the epistemology of these three activities and accounts for their similarities and the existence of hybrid forms of activities. We finally emphasize that picturing these activities as functionally substitutable does not imply that they are epistemologically substitutable. (shrink)

ABSTRACTIan Hacking puts forward a distinction between two kinds of scientific realism. According to scientific realism about theories, scientific theories are accepted as approximately true; according to scientific realism about unobservable entities, the theoretical terms occurring in scientific theories refer to existing, real entities. This article seeks to show that Claude Bernard's philosophy of science is a realist one about scientific theories, but anti-realist about unobservable entities. The term “fictionalism” is used here to stand for this sort of anti-realism about (...) unobservable entities. (shrink)

One premise of the underdetermination argument is that entailment of evidence is the only epistemic constraint on theory-choice. I argue that methodological rules can be epistemically significant, both with respect to observables and unobservables. Using an example from the history of medicine—Koch’s 1882 discovery of tuberculosis bacteria—I argue that even anti-realists ought to accept that these rules can break the tie between theories that are allegedly underdetermined. I then distinguish two types of underdetermination and argue that anti-realists, in order to (...) maintain the underdetermination argument, need to do more than show that theories are empirically equivalent: they need to show that a certain kind of underdetermination obtains. (shrink)

I argue that post-Kuhnian approaches to rational scientific change fail to appreciate several distinct philosophical requirements and relativist challenges that have been assumed to be, and may in fact be essential to any adequate conception of scientific rationality. These separate requirements and relativist challenges are clearly distinguished and motivated. My argument then focuses on Shapere's view that there are typically good reasons for scientific change. I argue: that contrary to his central aim, his account of good reasons ultimately presupposes the (...) requirement of universal standards of scientific reasoning; that the good reasons established by his account underdetermine the rationality of scientific change and allow that other changes would have been equally or even more rational; that as a result, Shapere's approach fails to meet what I characterize as the challenges of moderate, sociological, and cognitive relativism. (shrink)

The problem of natural kinds forms the busy crossroads where a number of larger problems meet: the problem of universals, the problem of induction and projectibility, the problem of natural laws and de re modalities, the problem of meaning and reference, the problem of intertheoretic reduction, the question of the aim of science, and the problem of scientific realism in general. Nor do these exhaust the list. Not surprisingly then, different writers confront a different ‘problem of natural kinds,’ depending on (...) which background issue is for them the principal issue at stake. The issues of essentialism, meaning, and reference, for example, have tended to dominate recent discussions of natural kinds. But evidently these are only part of the puzzle. (shrink)

The problem of natural kinds forms the busy crossroads where a number of larger problems meet: the problem of universals, the problem of induction and projectibility, the problem of natural laws and de re modalities, the problem of meaning and reference, the problem of intertheoretic reduction, the question of the aim of science, and the problem of scientific realism in general. Nor do these exhaust the list. Not surprisingly then, different writers confront a different ‘problem of natural kinds,’ depending on (...) which background issue is for them the principal issue at stake. The issues of essentialism, meaning, and reference, for example, have tended to dominate recent discussions of natural kinds. But evidently these are only part of the puzzle. (shrink)

I develop a concept of observability that pertains to qualities rather than objects: a quality is observable if it can be registered by human sensation (possibly with the aid of instruments) without involving optional interpretations. This concept supports a better description of observations in science and everyday life than the object-based observability concepts presupposing causal information-transfer from the object to the observer. It also allows a rehabilitation of the traditional empiricist distinction between observations and their interpretations, but without a presumption (...) that observations are infallible. Using this concept of observability, I also propose a re-formulation of constructive empiricism that is easier to defend against realist attacks, while open to reasonable realist intuitions. (shrink)

Operationalism and theoretical entities. The thesis of the“theory ladenness” of observation leads to an antinomy. In order to solve this antinomy a technical operationalism is sketched, according to which theories should in principle not contain anything that cannot be reduced to technical procedures. This implies the rejection of Quine's underdeterminacy thesis and of many views about the theoretical-observational distinction, e.g. neopositivistic views, van Fraassen's view, Sneed-Stegmüller's view. Then I argue for the following theses: 1. All scientific concepts are theory laden (...) in the sense that they allow us to anticipate possible experiences, but they have to be in principle fully observable, i.e. integrally convertible into operational-technical applications. 2. The observation/theory distinction can be maintained as a historical one: what is observable depends on the instruments that are available at any stage of the development of science. 3.In principle theoretical entities are empirically real in Hacking's sense. However, some aspects of Hacking's realism are to be criticized. Theoretical entities are to be resolved into the totality of the interrelated properties accessible to us by means of theoretical points of view embodied in scientific instruments. (shrink)

A number of philosophers have argued that a naturalized epistemology cannot be normative, and thus that the norms that govern science cannot themselves be established empirically. Three arguments for this conclusion are here developed and then responded to on behalf of naturalized epistemology. The response is developed in three stages. First, if we view human knowers as part of the natural world, then the attempt to establish epistemic norms that are immune to scientific evaluation faces difficulties that are at least (...) as severe as the purported difficulties for naturalized epistemology. Second, some examples of the ways in which norms are proposed and evaluated in the course of scientific research are considered and it is concluded that science has no need for trans?scientific norms. Finally, the three arguments introduced at the outset have no force when they are viewed in the light of the preceding discussion. (shrink)

Interpretation, Constraint, and the Prospects of Scientific Realism I explore the interaction between theory-based interpretations of scientific evidence and constraints on theories provided by that evidence. Interpretation is often viewed as a source of error and a reason for scepticism about scientific results. But, I argue, while interpretation does generate epistemic risk, it also points to new sources of evidence that can constrain our theories. This is especially clear in the development of instrumentation that increases the range of our interactions (...) with nature. While the design of such instruments and the interpretation of their outputs are deeply dependent on theory-based interpretations, these outputs can still challenge those very theories. At the same time, theory-guided instrumentation provides us access to aspects of nature that we cannot study with our unaided senses. This access allows us to extend the range of evidence that we collect, and thus increases the constraints on our theories. As a result, theory-guided evidence collection has a positive impact on the prospects of scientific realism since these increasing constraints on our theories provide our only reason for thinking that we may be approaching the development of true theories. (shrink)

Three major views of the observation?theory relation are now extant: (1) Observation and theory are mutually independent and observation provides the basis for evaluating theories. (2) Observations are theory?dependent and do not provide objective grounds for evaluating theories. (3) The concept of observation should be extended in a way that includes many so?called ?theoretical?entities? among the observables. Analyses of these views set the stage for a new approach that incorporates lessons learned from discussions of earlier accounts. The central idea of (...) this new approach is that empirical testing requires comparison of results arrived at by derivation from the theory being tested (plus appropriate auxiliary premises) with results derived from an interaction with aspects of nature in the theory's domain. These routes are independent in that each can be pursued without knowledge of the details or results of the alternative route. The approach accounts for the role of empirical results in evaluating theories without requiring that these results be theory?free or more certain than theoretical results. It also provides a basis for understanding the conditions under which a conflict between observation and theory can result in rejection of the observational result. (shrink)

Decision-making typically requires judgments about causal relations: we need to know the causal effects of our actions and the causal relevance of various environmental factors. We investigate how several individuals' causal judgments can be aggregated into collective causal judgments. First, we consider the aggregation of causal judgments via the aggregation of probabilistic judgments, and identify the limitations of this approach. We then explore the possibility of aggregating causal judgments independently of probabilistic ones. Formally, we introduce the problem of causal-network aggregation. (...) Finally, we revisit the aggregation of probabilistic judgments when this is constrained by prior aggregation of qualitative causal judgments. (shrink)

An important fact about human labor is that it can result not just in reproduction of what it started with, but in something new, a surplus product. When the latter is a means of production, it makes possible a mechanism of change consisting of reproduction by means of the expanded means of production. Each iteration of the labor process can differ from the preceding one insofar as it incorporates the surplus generated previously. Over the long-term, this cyclical process can lead (...) to the self-transformation of labor and, through it, of human societies and cultures. In this paper, I argue that this mechanism of change is also at work in the history of science. I argue that the form this mechanism takes in science is that of a feedback loop between discovery and instrument construction. This process requires the integration, and transformation into material form, of different kinds of knowledge. Based on this mechanism, I defend a concept of scientific progress as transcendence of the limitations of native human epistemic abilities. I also criticize narrowly biologistic approaches to the history of science for ignoring the role of surplus generation in transforming the labor process, and discuss some problems associated with viewing science as labor. (shrink)

The question of where, between theory and experiment, computer simulations (CSs) locate on the methodological map is one of the central questions in the epistemology of simulation (cf. Saam Journal for General Philosophy of Science, 48, 293–309, 2017). The two extremes on the map have them either be a kind of experiment in their own right (e.g. Barberousse et al. Synthese, 169, 557–574, 2009; Morgan 2002, 2003, Journal of Economic Methodology, 12(2), 317–329, 2005; Morrison Philosophical Studies, 143, 33–57, 2009; Morrison (...) 2015; Massimi and Bhimji Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 51, 71–81, 2015; Parker Synthese, 169, 483–496, 2009) or just an argument executed with the aid of a computer (e.g. Beisbart European Journal for Philosophy of Science, 2, 395–434, 2012; Beisbart and Norton International Studies in the Philosophy of Science, 26, 403–422, 2012). There exist multiple versions of the first kind of position, whereas the latter is rather unified. I will argue that, while many claims about the ‘experimental’ status of CSs seem unjustified, there is a variant of the first position that seems preferable. In particular I will argue that while CSs respect the logic of (deductively valid) arguments, they neither agree with their pragmatics nor their epistemology. I will then lay out in what sense CSs can fruitfully be seen as experiments, and what features set them apart from traditional experiments nonetheless. I conclude that they should be seen as surrogate experiments, i.e. experiments executed consciously on the wrong kind of system, but with an exploitable connection to the system of interest. Finally, I contrast my view with that of Beisbart (European Journal for Philosophy of Science, 8, 171–204, 2018), according to which CSs are surrogates for experiments, arguing that this introduces an arbitrary split between CSs and other kinds of simulations. (shrink)

Large scale experiments at CERN’s Large Hadron Collider rely heavily on computer simulations, a fact that has recently caught philosophers’ attention. CSs obviously require appropriate modeling, and it is a common assumption among philosophers that the relevant models can be ordered into hierarchical structures. Focusing on LHC’s ATLAS experiment, we will establish three central results here: with some distinct modifications, individual components of ATLAS’ overall simulation infrastructure can be ordered into hierarchical structures. Hence, to a good degree of approximation, hierarchical (...) accounts remain valid at least as descriptive accounts of initial modeling steps. In order to perform the epistemic function Winsberg Model-based reasoning in scientific discovery. Kluwer Academic/plenum Publishers, New York, pp 255–269, 1999) assigns to models in simulation—generate knowledge through a sequence of skillful but non-deductive transformations—ATLAS’ simulation models have to be considered part of a network rather than a hierarchy, in turn making the associated simulation modeling messy rather than motley. Deriving knowledge-claims from this ‘mess’ requires two sources of justification: holistic validation :253–262, 2010; in Carrier M, Nordmann A Science in the context of application. Springer, Berlin, pp 115–130, 2011), and model coherence. As it turns out, the degree of model coherence sets HEP apart from other messy, simulation-intensive disciplines such as climate science, and the reasons for this are to be sought in the historical, empirical and theoretical foundations of the respective discipline. (shrink)

Computer simulations are involved in numerous branches of modern science, and science would not be the same without them. Yet the question of how they can explain real-world processes remains an issue of considerable debate. In this context, a range of authors have highlighted the inferences back to the world that computer simulations allow us to draw. I will first characterize the precise relation between computer and target of a simulation that allows us to draw such inferences. I then argue (...) that in a range of scientifically interesting cases they are particular abductions and defend this claim by appeal to two case studies. (shrink)