Most philosophers of science now believe that scientific data are theory laden, i.e., the evaluation of data is influenced by prior theoretical beliefs. Although there is historical and psychological evidence that is consistent with the theory-laden position, experimental evidence is needed to directly test whether prior beliefs influence the evaluation of scientific data. In a fully counterbalanced design, one group of subjects received evidence that dinosaurs were cold-blooded, and another group of subjects received evidence that (...) dinosaurs were warm-blooded. The subjects reported a strong belief in whichever theory they had read about. Then subjects were presented with a piece of data that supported one theory and contradicted the other theory. The identical piece of data was rated as more believable when it was consistent with the subject's theory than when it was inconsistent. These results provide clear support for the position that scientific data are theory laden. (shrink)

Recent claims, mainly from computer scientists, concerning a largely automated and model-free data-intensive science have been countered by critical reactions from a number of philosophers of science. The debate suffers from a lack of detail in two respects, regarding the actual methods used in data-intensive science and the specific ways in which these methods presuppose theoretical assumptions. I examine two widely-used algorithms, classificatory trees and non-parametric regression, and argue that these are theory-laden in an external sense, regarding (...) the framing of research questions, but not in an internal sense concerning the causal structure of the examined phenomenon. With respect to the novelty of data-intensive science, I draw an analogy to exploratory as opposed to theory-directed experimentation. (shrink)

Theory-ladenness is the view that observation cannot function in an unbiased way in the testing of theories because observational judgments are affected by the theoretical beliefs of the observer. Its more radical cousin, incommensurability, argues that because there is no theory-neutral language, paradigms, or worldviews, cannot be compared because in different paradigms the meaning of observational terms is different, even when the word used is the same. There are both philosophical and practical components to these problems. I (...) argue, using a procedurally-defined, theory-neutral experiment that paradigms are indeed commensurable. The practical problems of theory ladenness include experimental design, failure to interpret observations correctly, possible experimenter bias, and difficulties in data acquisition. I suggest that there are methods to deal with these problems, although sometimes they cannot be dealt with completely. I believe that the philosophical problems of theory-ladenness have been solved, although the practical problems remain. (shrink)

We use evidence from cognitive psychology and the history of science to examine the issue of the theory-ladenness of perceptual observation. This evidence shows that perception is theory-laden, but that it is only strongly theory-laden when the perceptual evidence is ambiguous or degraded, or when it requires a difficult perceptual judgment. We argue that debates about the theory-ladenness issue have focused too narrowly on the issue of perceptual experience, and that a full account of (...) the scientific process requires an examination of theory-ladenness in attention, perception, data interpretation, data production, memory, and scientific communication. We conclude that the evidence for theory-ladenness does not lead to a relativist account of scientific knowledge. (shrink)

The theory-ladenness of perception argument is not an argument at all. It is two clusters of arguments. The first cluster is empirical. These arguments typically begin with a discussion of one or more of the following psychological phenomena: (a) the conceptual penetrability of the visual system, (b) voluntary perceptual reversal of ambiguous figures, (c) adaptation to distorting lenses, or (d) expectation effects. From this evidence, proponents of theory-ladenness typically conclude that perception is in some sense "laden" (...) with theory. The second cluster attempts to extract deep epistemological lessons from this putative fact. Some philosophers conclude that science is not (in any traditional sense) a rational activity, while others conclude that we must radically reconceptualize what scientific rationality involves. Once we understand the structure of these arguments, much conventional wisdom about the significance of the psychological data turns out to be false. (shrink)

This paper attempts to argue for the theory-ladenness of evidence. It does so by employing and analysing an episode from the history of eighteenth century chemistry. It delineates attempts by Joseph Priestley and Antoine Lavoisier to construct entirely different kinds of evidence for and against a particular hypothesis from a set of agreed upon observations or data. Based on an augmented version of a distinction, drawn by J. Bogen and J. Woodward, between data and phenomena it (...) is shown that the role of theoretical auxiliary assumptions is very important in constructing evidence for a theory from observation or data. In revolutionary situations, rival groups hold radically different theories and theoretical auxiliary assumptions. These are employed to construct very different evidence from the agreed upon set of observations or data. Hence, theory resolution becomes difficult. It is argued that evidence construction is a multi-layered exercise and can be disputed at any level. What counts as unproblematic observation or data at one level may become problematic at another level. The contingency of these constructions and the problematic nature of evidence are shown to be partially dependent upon the scientific knowledge that the scientific community possesses.Author Keywords: Theory-ladenness of evidence; Eighteenth century chemical philosophy; Construction of evidence; Observation/data; Theory resolution. (shrink)

Focusing on the discovery of weak currents, the current debate on the theory-ladenness of observation in modern physics might be too narrow, as it concerns only the last stage of a complex experimental process and statistical methods required to analyze data. The scope of the debate should be extended to include broader experimental conditions that concern the design of the apparatus and different levels of the detection process. These neglected conditions often decisively delimit experiments long before the (...) last stage has been reached, thus predetermining the extent of the dependence of data production on the theory. I explain the nature of these conditions and the theory-ladenness tendencies they produce, noting how they affect the last stage of the data analysis and providing some relevant examples. (shrink)

This paper attempts to argue for the theory-ladenness of evidence. It does so by employing and analysing an episode from the history of eighteenth century chemistry. It delineates attempts by Joseph Priestley and Antoine Lavoisier to construct entirely different kinds of evidence for and against a particular hypothesis from a set of agreed upon observations or (raw) data. Based on an augmented version of a distinction, drawn by J. Bogen and J. Woodward, between data and phenomena (...) it is shown that the role of theoretical auxiliary assumptions is very important in constructing evidence for (or against) a theory from observation or (raw) data. In revolutionary situations, rival groups hold radically different theories and theoretical auxiliary assumptions. These are employed to construct very different evidence from the agreed upon set of observations or (raw) data. Hence, theory resolution becomes difficult. It is argued that evidence construction is a multi-layered exercise and can be disputed at any level. What counts as unproblematic observation or (raw) data at one level may become problematic at another level. The contingency of these constructions and the (un)problematic nature of evidence are shown to be partially dependent upon the scientific knowledge that the scientific community possesses. (shrink)

The issue of the theory-ladenness of observation has long troubled philosophers of science, largely because it seems to threaten the objectivity of science. However, the way in which prior beliefs influence the perception of data is in part an empirical issue that can be investigated by cognitive psychology. This point is illustrated through an experimental analogue of scientific data-interpretation tasks in which subjects judging the covariation between personality variables based their judgments on pure data, their (...) theoretical intuitions about the variables, or both data and prior theoretical beliefs. Results showed that the perceived magnitude of correlations was greatest when subjects relied solely on theoretical intuitions; that data-based judgments were drawn in the direction of those prior beliefs; but that exposure to data nonetheless moderated the strength of the prior theories. In addition, prior beliefs were found to influence judgments only after a brief priming interval, suggesting that subjects needed time to retrieve their theoretical intuitions from memory. These results suggest ways to investigate the processes mediating theory-laden observation, and, contrary to the fears of positivist philosophers, imply that the theory-ladenness of observation does not entail that theoretical beliefs are immune to data. (shrink)

In a series of articles, the most extensive of which are [9] and [10], Carl R. Kordig has attacked the "new empiricism" of the late Norwood R. Hanson, P. K. Feyerabend, Thomas S. Kuhn, and Stephen E. Toulmin. While there are differ- ences among the views of these philosophers, they agree at least on the following claims: (1) scientific method does not proceed inductively from neutral observations because (a) observations are not free of interpretation; and (b) scientists, as a matter (...) of history, have not used induction as the means of arriving at scientific laws; and (2) the key to scientific progress is the discovery of theories, hypotheses, or paradigms which order phenomena and influence the ways in which data are experienced. While Kordig admits that the new empiricism has the valuable effect of underscoring the truth that scientific revolutions do not consist merely in finding new facts or in paying closer attention to already known facts, contrary to the new view, he maintains that observations must be and are neutral ([9], pp. 478-479). Kordig contends against the new empiricists that if observations are not neutral but theory-laden, then it is impossible to test, compare and verify theories. Conse- quently, Kordig concludes that the new empiricist view implies that scientific progress is impossible ([9], pp. 470-471; [10j, p. 470). In opposition to their view, Kordig maintains that observations are neutral and independent of theories (and this was the insight of the logical empiricists) ([10], p. 468); and moreover, observa- tions must be neutral to and independent of theory in order that (a) differing theories may be truly said to compete and (b) the observations may be the basis of testing and deciding between competing theories. (shrink)

This paper draws upon the history of scientific studies of inheritance in Mendel’s best-remembered model organism, the garden pea, as a source of two parables – one pessimistic, the other optimistic – on the challenges of data linkage in plants. The moral of the pessimistic parable, from the era of the biometrician-Mendelian controversy, is that the problem of theory-ladenness in data sets can be a major stumbling block to making new uses of old data. The (...) moral of the optimistic parable, from the long-run history of studies at the John Innes Centre of aberrant or “rogue” pea varieties, is that an excellent guarantor of the continued value of old data sets is the availability of the relevant physical materials – in the first instance, the plant seeds. (shrink)

Some twenty years ago, Bogen and Woodward challenged one of the fundamental assumptions of the received view, namely the theory-observation dichotomy and argued for the introduction of the further category of scientific phenomena. The latter, Bogen and Woodward stressed, are usually unobservable and inferred from what is indeed observable, namely scientific data. Crucially, Bogen and Woodward claimed that theories predict and explain phenomena, but not data. But then, of course, the thesis of theory-ladenness, which has (...) it that our observations are influenced by the theories we hold, cannot apply. On the basis of two case studies, I want to show that this consequence of Bogen and Woodward’s account is rather unrealistic. More importantly, I also object against Bogen and Woodward’s view that the reliability of data, which constitutes the precondition for data-to-phenomena inferences, can be secured without the theory one seeks to test. The case studies I revisit have figured heavily in the publications of Bogen and Woodward and others: the discovery of weak neutral currents and the discovery of the zebra pattern of magnetic anomalies. I show that, in the latter case, data can be ignored if they appear to be irrelevant from a particular theoretical perspective (TLI) and that, in the former case, the tested theory can be critical for the assessment of the reliability of the data (TLA). I argue that both TLI and TLA are much stronger senses of theory-ladenness than the classical thesis and that neither TLI nor TLA can be accommodated within Bogen and Woodward’s account. (shrink)

The thesis of theory-ladenness of observations, in its various guises, is widely considered as either ill-conceived or harmless to the rationality of science. The latter view rests partly on the work of the proponents of New Experimentalism who have argued, among other things, that experimental practices are efficient in guarding against any epistemological threat posed by theory-ladenness. In this paper I show that one can generate a thesis of theory-ladenness for experimental practices from an (...) influential New Experimentalist account. The notion I introduce for this purpose is the concept of ‘theory-driven data reliability judgments’, according to which theories which are sought to be tested with a particular set of data guide reliability judgments about those very same data. I provide various prominent historical examples to show that TDRs are used by scientists to resolve data conflicts. I argue that the rationality of the practices which employ TDRs can be saved if the independent support of the theories driving TDRs is construed in a particular way. (shrink)

Kevin T. Kelly and Clark Glymour. Inductive Inference from Theory-Laden Data.

Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to (...) identify and control for the types of methodological and inferential errors. Consequently, this makes it possible for researchers to represent and investigate cognitive phenomena in terms of hemodynamic data and for experimental knowledge to grow independently of large scale theories of cognition. (shrink)

Several developments for diverse scientific goals, mostly in physics and physiology, had to take place, which eventually gave us fMRI as one of the central research paradigms of contemporary cognitive neuroscience. This technique stands on solid foundations established by the physics of magnetic resonance and the physiology of hemodynamics and is complimented by computational and statistical techniques. I argue, and support using concrete examples, that these foundations give rise to a productive theory-ladenness in fMRI, which enables researchers to (...) identify and control for the types of methodological and inferential errors. Consequently, this makes it possible for researchers to represent and investigate cognitive phenomena in terms of hemodynamic data and for experimental knowledge to grow independently of large scale theories of cognition. (shrink)

Anthony Simon Laden explores the kind of reasoning we engage in when we live together: when we are responsive to others and neither commanding nor deferring to them. He argues for a new, social picture of the activity of reasoning, in which reasoning is a species of conversation--social, ongoing, and governed by a set of characteristic norms.

The brain is involved in theory-laden cognitive processes. But there are two different theory-laden processes. In cases where the theory is based on facts, more facts can either falsify or confirm a theory. In cases where the theory is about the choice of a benchmark or a standard, more facts can only make a theory either more or less warranted. Clark offers a review of a view of the brain where the brain pro- cesses (...) input information in a way that confirms its priors or its pre- dictions. This does not mean that the brain creates its own reality. The brain, rather, processes input data, but it does so in light of its own priors. The brain is a bidirectional hierarchical structure. While the top layers generate priors, the lower layers process input data. The brain amounts to the dynamics of image- making, where the top-down process generates unified images, while the bottom-up process, which takes data, corrects the images. (shrink)

This paper proposes a set of criteria for an appropriate experiment on the issue of the theory ladenness of perception. These criteria are used to select a number of experiments that use: belief-based ambiguous figures, fragmented figures, or memory color. Crucially, the data in experiments of this type are based on the participant’s qualitative visual experience. Across many different types of experimental designs, different types of stimuli, and different types of belief manipulation, these experiments show the impact (...) of belief/theory on visual perception. Using an ecological validity argument, I conclude that attention-based interpretations of these findings are not successful because the relevant epistemological issues only require that we examine final perception, in the sense of visual awareness of the everyday world. Finally, I argue that the epistemological consequences of theory-ladenness can be reduced by using a top-down/bottom-up theoretical framework and by adopting appropriate methodological procedures to data derived from individual observations. (shrink)

Theories of rational choice focus on the question of how to choose what to do. They are, that is, concerned with the selection of one among a set of possible actions. Furthermore, they tell us how to make such a choice rationally. They accomplish this aspect of their task by telling us how to choose ‘in order to achieve our aims as well as possible.’Theories of reasonable deliberation, as I describe them in this paper, analyze a different domain of reasoning (...) in the service of action. First, their subject matter is the deliberation that leads to action, rather than the final selection of the action itself. Second, they ask about the intrinsic character of a deliberative path, rather than its likely outcome. That is, they are theories of the reasonableness of deliberation, rather than its rationality. To see the distinctiveness of this theoretical domain, it helps to approach it by backing away from the domain of rational choice theories one step at a time. (shrink)

Theories of rational choice focus on the question of how to choose what to do. They are, that is, concerned with the selection of one among a set of possible actions. Furthermore, they tell us how to make such a choice rationally. They accomplish this aspect of their task by telling us how to choose ‘in order to achieve our aims as well as possible.’Theories of reasonable deliberation, as I describe them in this paper, analyze a different domain of reasoning (...) in the service of action. First, their subject matter is the deliberation that leads to action, rather than the final selection of the action itself. Second, they ask about the intrinsic character of a deliberative path, rather than its likely outcome. That is, they are theories of the reasonableness of deliberation, rather than its rationality. To see the distinctiveness of this theoretical domain, it helps to approach it by backing away from the domain of rational choice theories one step at a time. (shrink)

Over the past twenty-five years debate surrounding cultural diversity has become one of the most active areas of contemporary political theory and philosophy. The impact of taking cultural diversity seriously in modern political societies has led to challenges to the dominance of liberal theory and to a more serious engagement of political theory with actual political struggles. This 2007 volume of essays by leading political theorists reviews the development of multiculturalism, surveys the major approaches, addresses the critical (...) questions posed and highlights directions in research. Multiculturalism and Political Theory provides an overview for both students and researchers. (shrink)

John Rawls's form of constructivism can easily be ramped up into a fullblown metaethics. In this chapter, the author explores an alternative interpretive framework, which basically inverts the roles that the construction of the original position and the reliance on reflective equilibrium play in Rawls's argument. The author sketches out the basic contours of Rawls's thinking if we treat constructivism as his method for theory construction and reflective equilibrium as his metaethics. Metaethics is clearly a part of moral philosophy (...) outside of moral theory. At every major turn in the articulation of Rawls's theory there is a new or more developed account of reflective equilibrium and in particular its justificatory role in the theory. Giving one's argument a form that allows it to more easily appeal to a particular audience, is the job of rhetoric. So it turns out that constructivism is not a metaethical position, but a rhetorical strategy. (shrink)

Amartya Sen describes John Rawls?s ?justice as fairness? as ?transcendental institutionalism? and develops his realization-focused approach in contrast. But Rawls is no transcendental institutionalist, and Sen?s construal of their opposition occludes a third, relation-based position and a valuable and practical form of ideal theory. What Sen calls transcendental institutionalism and realization-focused comparative theory each treat justice as something to bring about, a problem for experts. A third position treats justice in terms of how we relate to one another (...) rather than of achievement. This position, called ?justice as reciprocity,? is consistent with Rawls?s ?justice as fairness? and Sen?s normative aspirations, and might form the basis of new and fruitful dialogue between them. By treating justice as a question of how we relate to one another, and treating relation-based ideals as the basis of respectful behavioral constraints (rather than of ends to pursue), ?justice as reciprocity? grounds an everyday form of just democratic citizenship. (shrink)

Rawls criticizes utilitarianism for not taking the distinction between persons seriously, and suggests that his own theory: justice as fairness, does. I argue that justice as fairness aims to take the distinction seriously at four levels, ranging from the content of its principles to its conception of political philosophy, and that doing so at each stage is of fundamental importance in working out the basis of a conception of justice for a democratic society. Understanding Rawls’s theory in this (...) way points to a clearer understanding of how to go on doing political philosophy after Rawls. (shrink)

The author argues that the distinctive aspects of political liberalism have historical roots in the republican tradition that is often described as “neo-roman,” and recently given articulation in the work of Q. Skinner and P. Pettit. The primary task of this paper will be to layout these correlations, to provide, as it were, a mapping between the vocabulary of the neo-roman theory and that of political liberalism. By tracing the genealogy of political liberalism, the author argues that we ought (...) to rethink the history, the vocabulary, and conceptual framework of contemporary political philosophy. In particular, seeing political liberalism as a form of republican theory as well as a form of liberal theory changes how we understand it: it brings out certain distinctive features of the structure of the view that are often overlooked, such as its stress on certain civic duties and its conception of freedom as a freedom of the city. If leading republican and liberal thinkers turn out to have much in common, then we will have to rethink also our intellectual geography: we will have to sketch in some land-bridges between the continents. (shrink)

The dissertation develops and defends a form of liberalism it calls "deliberative liberalism." The aim of developing this form of liberalism is to show how liberal theory can be sensitive to the importance people place on particular aspects of their practical identities. In particular, the dissertation answers four criticisms of liberalism. Catharine MacKinnon and Michel Foucault claim that liberalism is incapable of attending to the role power plays in constructing our identities, and is thus insensitive to forms of opression (...) tied to those identities. Charles Taylor and James Tully claim that liberalism fails to recognize adequately the depth and breadth of human diversity, and thus winds up exerting normative pressures on liberal citizens. ;Deliberative liberalism revolves around a conception of political philosophy which it takes from the work of Rousseau, Hegel, and John Rawls: that political philosophy should determine the conditions under which otherwise diverse people can come to form a shared will about essential political matters. Deliberative liberalism does this through the articulation of an ideal of reasonable political deliberation conceived as the exchange of public reasons among citizens. This ideal rests on an intersubjective account of reasons, in which the authority of reasons derives from aspects of the practical identities of the reasoners. This central ideal is then supplemented by two principles which prevent the ideal from misfiring. The reciprocity of constructive power principle works to prevent people from imposing particular identities on others. The non-burdensomeness of citizenship principle ensures that the exchange of public reasons serves as a means of recognizing citizens' diverse non-political identities and not effacing them. In the conclusion, connections are drawn between deliberative liberalism and Rawls's "political liberalism.". (shrink)

Internal debates over the status and aims of archaeology—between processualists and post or anti-processualists—have been so sharply adversarial, and have generated such sharply polarized positions, that they obscure much common ground. Despite strong rhetorical opposition, in practice, all employ a range of strategies for building and assessing the empirical credibility of their claims that reveals a common commitment to some form of mitigated objectivism. To articulate what this comes to, an account is given of how archaeological data may be (...) ‘laden with theory’ constructed as evidence—and yet still function as an independent constraint on interpretation. (shrink)

I argue that if we allow that Moore’s Method, which involves taking an ordinary knowledge claim to support a substantive metaphysical conclusion, can be used to support Moore’s proof an external world, then we should accept that Moore’s Method can be used to support a variety of incompatible metaphysical conclusions. I shall refer to this as “the problem of many proofs”. The problem of many proofs, I claim, stems from the theory-ladenness of perception. I shall argue further that (...) this plethora of proofs for incompatible positions leads to a darker form of skepticism, one which maintains that each of the dogmatic views is probably false. We will conclude by considering various ways a Moorean might respond to these difficulties. (shrink)

According to the hierarchy of models (HoM) account of scientific experimentation developed by Patrick Suppes and elaborated by Deborah Mayo, theoretical considerations about the phenomena of interest are involved in an experiment through theoretical models that in turn relate to experimental data through data models, via the linkage of experimental models. In this paper, I dispute the HoM account in the context of present-day high-energy physics (HEP) experiments. I argue that even though the HoM account aims to characterize (...) experimentation as a model-based activity, it does not involve a modeling concept for the process of data acquisition, and it thus fails to provide a model-based characterization of the theory-experiment relationship underlying this process. In order to characterize the foregoing relationship, I propose the concept of a model of data acquisition and illustrate it in the case of the ATLAS experiment at CERN’s Large Hadron Collider, where the Higgs boson was discovered in 2012. I show that the process of data acquisition in the ATLAS experiment is performed according to a model of data acquisition that specifies and organizes the experimental procedures necessary to select the data according to a predetermined set of selection criteria. I also point out that this data acquisition model is theory-laden, in the sense that the underlying data selection criteria are determined by considering the testable predictions of the theoretical models that the ATLAS experiment is aimed to test. I take this sense of theory-ladenness to indicate that the relationship between the procedures of the ATLAS experiment and the theoretical models of the phenomena of interest is first established, prior to the formation of data models, through the data acquisition model of the experiment, thus not requiring the intermediary of other types of models as suggested by the HoM account. I therefore conclude that in the context of present-day HEP experiments, the HoM account does not consistently extend to the process of data acquisition so as to include models of data acquisition. (shrink)

According to the hierarchy of models account of scientific experimentation developed by Patrick Suppes and elaborated by Deborah Mayo, theoretical considerations about the phenomena of interest are involved in an experiment through theoretical models that in turn relate to experimental data through data models, via the linkage of experimental models. In this paper, I dispute the HoM account in the context of present-day high-energy physics experiments. I argue that even though the HoM account aims to characterize experimentation as (...) a model-based activity, it does not involve a modeling concept for the process of data acquisition, and it thus fails to provide a model-based characterization of the theory-experiment relationship underlying this process. In order to characterize the foregoing relationship, I propose the concept of a model of data acquisition and illustrate it in the case of the ATLAS experiment at CERN’s Large Hadron Collider, where the Higgs boson was discovered in 2012. I show that the process of data acquisition in the ATLAS experiment is performed according to a model of data acquisition that specifies and organizes the experimental procedures necessary to select the data according to a predetermined set of selection criteria. I also point out that this data acquisition model is theory-laden, in the sense that the underlying data selection criteria are determined by considering the testable predictions of the theoretical models that the ATLAS experiment is aimed to test. I take this sense of theory-ladenness to indicate that the relationship between the procedures of the ATLAS experiment and the theoretical models of the phenomena of interest is first established, prior to the formation of data models, through the data acquisition model of the experiment, thus not requiring the intermediary of other types of models as suggested by the HoM account. I therefore conclude that in the context of present-day HEP experiments, the HoM account does not consistently extend to the process of data acquisition so as to include models of data acquisition. (shrink)

In this paper I inquire into Bogen and Woodward’s data/phenomena distinction, which in a similar way to Cartwright’s construal of the model of superconductivity —although in a different domain—argues for a ‘bottom-up’ construction of phenomena from data without the involvement of theory. I criticise Bogen and Woodward’s account by analysing their melting point of lead example in depth, which is usually cited in the literature to illustrate the data/phenomenon distinction. Yet, the main focus of this paper (...) lies on Matthias Kaiser’s case study of the plate tectonic revolution, the most extensive case study that has been put forth to support the bottom-up construction of phenomena. On the basis of new historical evidence, which has been overlooked not only by Kaiser but also by the entire historical literature on the plate tectonic revolution, I demonstrate that phenomena are not constructed from the bottom-up but rather, admittedly counter-intuitively, from the top-down.Keywords: Data; Phenomena; Bottom-up; Theory-ladenness; Plate tectonic revolution. (shrink)

This chapter takes a naturalized approach to the philosophy of science using evidence from cognitive psychology and from the history of science. It first describes the problem of the theory ladenness of perception. Then it provides a general top-down/bottom-up framework from cognitive psychology that is used to organize and evaluate the evidence for theory ladenness throughout the process of carrying out science (perception, attention, thinking, experimenting, memory, and communication). The chapter highlights both the facilitatory and inhibitory (...) role of theory in the scientific process. Both the historical record and the evidence from cognitive psychology suggest that the top-down factors have their greatest impact when the bottom-up information is weak or degraded. There is a short discussion of the normative implications of the material in the chapter for carrying out science. (shrink)

Abstract During the last decades it has become widely accepted that scientific observations are ?theory?laden?. Scientists ?see? the world with their theories or theoretical presuppositions. In the present paper it is argued that they ?see? with their scientific instruments as well, as the uses of scientific instruments is an important characteristic of modern natural science. It is further argued that Euclidean geometry is intimately linked to technology, and hence that it plays a fundamental part in the construction and operation (...) of scientific instruments. Finally, Euclidean geometry is compared to fractal geometry, and the question of its a priori status is raised. Although the position that Euclidean geometry is a priori in the original Kantian sense is untenable, the paper concludes that in some restricted sense Euclidean geometry may be said to be a priori. (shrink)

Many decades ago Patrick Suppes argued rather convincingly that theoretical hypotheses are not confronted with the direct, raw results of an experiment, rather, they are typically compared with models of data. What exactly is a data model however? And how do the interactions of particles at the subatomic scale give rise to the huge volumes of data that are then moulded into a polished data model? The aim of this paper is to answer these questions by (...) presenting a detailed case study of the construction of data models at the LHCb for testing Lepton Flavour Universality in rare decays of B-mesons. The close examination of the scientific practice at the LHCb leads to the following four main conclusions: raw data in their pure form are practically useless for the comparison of experimental results with theory, and processed data are in some cases epistemically more reliable, real and simulated data are involved in the co-production of the final data model and cannot be easily distinguished, theory-ladenness emerges at three different levels depending on the scope and the purpose for which background theory guides the overall experimental process and the overall process of acquiring and analysing data in high energy physics is too complicated to be fully captured by a generic methodological description of the experimental practice. (shrink)

Kuhn 's contribution should be viewed as posing a number of important problems, not as a full-fledged theory of the structure of science. Kuhn 's alleged theory-ladenness of observations is examined as a test case in the light of Hintikka's interrogative model of inquiry. A certain superficial theory-ladenness is built into that model. Moreover, the model provides a deeper analysis of theory-ladenness via the two-levelled character of experimental science. A higher-level and a lower-level (...) inquiry rely on different kinds of initial premises and operate with different kinds of "answers" by nature. The model also throws light on the alleged theory-ladenness of meaning. (shrink)

Feyerabend claims that what is perceived depends upon what is believed ; and he maintains that among really efficient alternative theories "each theory will possess its own experience, and there will be no overlap between these experiences". According to Feyerabend "scientific theories are ways of looking at the world; and their adoption affects our general beliefs and expectations, and thereby also our experiences...". Toulmin, Hanson, and Kuhn concur with this view. Toulmin claims that men who accept different "ideals" and (...) "paradigms" will see different phenomena. He thinks theories not only give significance to facts, but also determine what facts are for us at all. Like Feyerabend, Toulmin asserts that "we see the world through" our fundamental concepts of science "to such an extent that we forget what it would look like without them". Indeed, both Feyerabend and Toulmin would have previous thinkers "live in an observational world very different from our own". Kuhn expresses quite similar views. He feels that. (shrink)

Bas van Fraassen’s recent book Scientific Representation: Paradoxes of Perspective modifies and refines the “constructive empiricism” of The Scientific Image in a number of ways. This paper investigates the changes concerning one of the most controversial aspects of the overall position, that is, van Fraassen’s agnosticism concerning the veridicality of microscopic observation. The paper tries to make plausible that the new formulation of this agnosticism is an advance over the older rendering. The central part of this investigation is an attempt (...) to answer Marc Alspector-Kelly’s 2004-criticism of an early version of van Fraassen’s new position. Alspector-Kelly’s contribution it is to date the most extensive attack on van Fraassen’s twenty-first-century work on the topic of microscopic observation. One of the central ideas emerging from the present discussion is a link between the debate over the veridicality of microscopic observation and the issue of the theory-ladenness of experience. (shrink)

SummaryThe view that observations in science are theory‐laden is critically evaluated in this paper. A number of theses are distinguished concerning the alleged theory‐ladenness of claims of the form ‘P observes X’ and ‘P observes that X is A’ that derive from some remarks of Hanson; each thesis is shown to be untenable. However a modicum of theory‐ladenness is supported in the claim that some observation‐that reports depend for their truth on other claims which in (...) turn depend for their truth on a piece of scientific theory. (shrink)

Model-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are not only data-laden, but data are also model-laden or model filtered. In this paper I elaborate and defend the second, more controversial, component of the symbiosis view. In particular, I construct a preliminary taxonomy of the different ways in which theoretical and simulation models are used in the production of data sets. These include (...) class='Hi'>data conversion, data correction, data interpolation, data scaling, data fusion, data assimilation, and synthetic data. Each is defined and briefly illustrated with an example from the geosciences. I argue that model-filtered data are typically more accurate and reliable than the so-called raw data, and hence beneficially serve the epistemic aims of science. By illuminating the methods by which raw data are turned into scientifically useful data sets, this taxonomy provides a foundation for developing a more adequate philosophy of data. (shrink)

Model-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are data-laden and data are model-laden. In this articl...