Underdetermination of Theory by Data, Misc

In 1991 Larry Laudan and Jarret Leplin proposed a solution for the problem of empirical equivalence and the empirical underdetermination that is often thought to result from it. In this paper we argue that, even though Laudan and Leplin’s reasoning is essentially correct, their solution should be accurately assessed in order to appreciate its nature and scope. Indeed, Laudan and Leplin’s analysis does not succeed in completely removing the problem or, as they put it, in refuting the thesis of underdetermination (...) as a consequence of empirical equivalence. Instead, what they show is merely that science possesses tools that may eventually lead out of an underdetermination impasse. We apply their argument to a real case of two empirically equivalent theories: Lorentz’s ether theory and Einstein’s special relativity. This example illustrates the validity of Laudan and Leplin’s reasoning, but also shows the importance of the reassessment we argue for. (shrink)

Scott Soames argues that interpreted in the light of Quine's holistic verificationism, Quine's thesis of underdetermination leads to a contradiction. It is contended here that if we pay proper attention to the evolution of Quine's thinking on the subject, particularly his criterion of theory individuation, Quine's thesis of underdetermination escapes Soames' charge of paradoxicality.

Scientific risk evaluations are constructed by specific evidence, value judgements and biological background assumptions. The latter are the framework-setting suppositions we apply in order to understand some new phenomenon. That background assumptions co-determine choice of methodology, data interpretation, and choice of relevant evidence is an uncontroversial claim in modern basic science. Furthermore, it is commonly accepted that, unless explicated, disagreements in background assumptions can lead to misunderstanding as well as miscommunication. Here, we extend the discussion on background assumptions from basic (...) science to the debate over genetically modified (GM) plants risk assessment. In this realm, while the different political, social and economic values are often mentioned, the identity and role of background assumptions at play are rarely examined. We use an example from the debate over risk assessment of stacked genetically modified plants (GM stacks), obtained by applying conventional breeding techniques to GM plants. There are two main regulatory practices of GM stacks: (i) regulate as conventional hybrids and (ii) regulate as new GM plants. We analyzed eight papers representative of these positions and found that, in all cases, additional premises are needed to reach the stated conclusions. We suggest that these premises play the role of biological background assumptions and argue that the most effective way toward a unified framework for risk analysis and regulation of GM stacks is by explicating and examining the biological background assumptions of each position. Once explicated, it is possible to either evaluate which background assumptions best reflect contemporary biological knowledge, or to apply Douglas' 'inductive risk' argument. (shrink)

“Objectivity” is an important theoretical concept with diverse applications in our collective practices of inquiry. It is also a concept attended in recent decades by vigorous debate, debate that includes but is not restricted to scientists and philosophers. The special authority of science as a source of knowledge of the natural and social world has been a matter of much controversy. In part because the authority of science is supposed to result from the objectivity of its methods and results, objectivity (...) has been described as an “essentially contested,” and even an “embattled” concept. The concept of objectivity has important but contested applications outside of scientific practices as well. Philosophers, psychologists, and theologians debate whether there is an objective basis for ethical claims and demands. Legal scholars debate what it would mean for laws to be objectively derivable from basic assumptions about justice and equality. One aim of this book is to guide readers through the often volatile debates over the nature and value of objectivity. Another aim is to contribute to that debate through articulating the domain-variance of norms of objectivity, and their different functions for inquirers. A better understanding of the underdetermination problem, and of the many ways that "epistemic" and "social" values rub shoulders in the course of inquiry, aids the development of my pragmatic pluralist account of objectivity. (shrink)

This paper pursues Ernan McMullin‘s claim ("Virtues of a Good Theory" and related papers on theory-choice) that talk of theory virtues exposes a fault-line in philosophy of science separating "very different visions" of scientific theorizing. It argues that connections between theory virtues and virtue epistemology are substantive rather than ornamental, since both address underdetermination problems in science, helping us to understand the objectivity of theory choice and more specifically what I term the ampliative adequacy of scientific theories. The paper argues (...) therefore that virtue epistemologies can make substantial contributions to the epistemology and methodology of the sciences, helping to bridge the gulf between realists and anti-realists, and to re-enforce moderation over claims about the implications of underdetermination problems for scientific inquiry. It finally makes and develops the suggestion that virtue epistemologies, at least of the kind developed here, offer support to the position that philosophers of science know as normative naturalism. (shrink)

The underdetermination thesis poses a threat to rational choice of scientific theories. We discuss two arguments for the thesis. One draws its strength from deductivism together with the existence thesis, and the other is defended on the basis of the failure of a reliable inductive method. We adopt a partially subjective/objective pragmatic Bayesian epistemology of science framework, and reject both arguments for the thesis. Thus, in science we are able to reinstate rational choice called into question by the underdetermination thesis.

This paper addresses a problem that arises when it comes to inferring deterministic causal chains from pertinent empirical data. It will be shown that to every deterministic chain there exists an empirically equivalent common cause structure. Thus, our overall conviction that deterministic chains are one of the most ubiquitous (macroscopic) causal structures is underdetermined by empirical data. It will be argued that even though the chain and its associated common cause model are empirically equivalent there exists an important asymmetry between (...) the two models with respect to model expansions. This asymmetry might constitute a basis on which to disambiguate corresponding causal inferences on non-empirical grounds. (shrink)

For many years, sociologists, political scientists, and management scholars have readily relied on Qualitative Comparative Analysis (QCA) for the purpose of configurational causal modeling. However, this article reveals that a severe problem in the application of QCA has gone unnoticed so far: model ambiguities. These arise when multiple causal models fare equally well in accounting for configurational data. Mainly due to the uncritical import of an algorithm that is unsuitable for causal modeling, researchers have typically been unaware of the whole (...) model space. As a result, there exists an indeterminable risk for practically all QCA studies published in the last quarter century to have presented findings that their data did not warrant. Using hypothetical data, we first identify the algorithmic source of ambiguities and discuss to what extent they affect different methodological aspects of QCA. By reanalyzing a published QCA study from rural sociology, we then show that model ambiguities are not a mere theoretical possibility but a reality in applied research, which can assume such extreme proportions that no causal conclusions whatsoever are possible. Finally, the prevalence of model ambiguities is examined by performing a comprehensive analysis of 192 truth tables across 28 QCA studies published in applied sociology. In conclusion, we urge that future QCA practice ensures full transparency with respect to model ambiguities, both by informing readers of QCA-based research about their extent and by employing algorithms capable of revealing them. (shrink)

In this paper, I address the idea that certain sentences suffer from what is generally called semantic unspecificity: their meaning is determinate, but their truth conditions are not. While there tends to be agreement on the idea that semantic unspecificity differs from phenomena such as ambiguity and vagueness, some theorists have defended an account which traces it to indexicality, broadly construed. Some authors have tried to vindicate the distinction between unspecificity and indexicality and, in this paper, I pursue the same (...) cause, but with a critical stance towards previously employed strategies. I urge that the central argument employed by Sainsbury to trace this difference fails suitably to set unspecificity apart from indexicality and I propose a new argument, which helps to trace this distinction more perspicuously. The argument is based on embeddings of indexical and unspecific expressions within modal operators and on the ways in which the truth conditions of utterances of the resulting, complex expressions are thereby affected. (shrink)

The twin goals of this essay are: to investigate a family of cases in which the goal of guaranteed convergence to the truth is beyond our reach; and to argue that each of three strands prominent in contemporary epistemological thought has undesirable consequences when confronted with the existence of such problems. Approaches that follow Reichenbach in taking guaranteed convergence to the truth to be the characteristic virtue of good methods face a vicious closure problem. Approaches on which there is a (...) unique rational doxastic response to any given body of evidence can avoid incoherence only by rendering epistemology a curiously limited enterprise. Bayesian approaches rule out humility about one’s prospects of success in certain situations in which failure is typical. (shrink)

This paper examines the epistemological significance of the present situation of underdetermination in quantum mechanics. After analyzing this underdetermination at three levels---formal, ontological, and methodological---the paper considers implications for a number of variants of the thesis of scientific realism in fundamental physics and reassesses Lakatos‘ characterization of progress in physical theory in light of the present situation. Next, this paper considers the implications of underdetermination for Weinberg’s ‘‘dream of a final theory.’’ Finally, the paper concludes by suggesting how one might (...) still think of realism and progress in fundamental physics despite the possibility of persistent underdetermination in quantum mechanics. (shrink)

This paper construes various positions in the philosophy of science and the philosophy of law as responses to the problem of underdetermination in science and in law. We begin by drawing a close analogy between the successive approaches to this problem in the two fields. In particular, we stress the analogy between conventionalism as a philosophy of science and legal realism as a philosophy of law, and between Putnam's and Dworkin's critiques of these positions. We then challenge the Putnam-Dworkin strategy, (...) arguing that their attempts to combat underdetermination are unsuccessful. We are thus led to scepticism regarding the outlook underlying the celebrated maxim, “ruled by law, not by men”. (shrink)

I present an argument that encapsulates the view that theory is underdetermined by evidence. I show that if we accept Williamson's equation of evidence and knowledge, then this argument is question-begging. I examine ways of defenders of underdetermination may avoid this criticism. I also relate this argument and my critique to van Fraassen's constructive empiricism.

Traditional accounts stress certain features of theoretical objects such as their alleged imperceptibility, that are taken to raise epistemological difficulties. But these accounts do not show how theoretical objects, rightly understood, either differ in kind from more ordinary sorts of objects or make science possible. I sketch a new account that focuses on the underdetermination and similarity of theoretical objects, features closely connected to the explanatory roles they play, and construes them on an algebraic model.

Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations over values is (...) a mistake and unnecessary for avoiding the wishful thinking. Values have a deeper role to play in science. (shrink)

The first part of the paper is a metatheoretical consideration of such philosophy of nature which allows for using scientific results in philosophical analyses. An epistemological 'judgment' of those results becomes a preliminary task of this discipline: this involves taking a position in the controversy between realistic and antirealistic accounts of science. It is shown that a philosopher of nature has to be a realist, if his task to build true ontology of reality is to be achieved. At the same (...) time he cannot be a realist ˗ a possibility that science itself is capable of deciding what beings really exist (a typical realistic claim is that scientific notions refer to something external and truly describe its characteristics) has to be denied, if the philosophy of nature is seen as a discipline investigating the natural world, while being epistemologically different from the natural sciences. A possibility of weakening this opposition is explored in the second part of the paper, where the idea of so-called "postulated ontology" of scientific theories is brought to the consideration. This idea appears in the context of a well-known thesis of the underdetermination of scientific theories by empirical data. It is argued in the paper, that the conviction of the existence of some kind of relation between a given theory and ontological ideas can be derived from this thesis, regardless of its particular form. Therefore, certain solutions to classical philosophical questions can be obtained, in principle, by careful inspection of scientific achievements. However, if the thesis of underdetermination holds, such philosophical solutions are not imposed by science itself. In order to arrive at some kind of ontology based on science, it seems necessary to accept certain philosophical presuppositions in the first place. This and the fact that scientific theories change in time show that although such a kind of ontology is possible, and perhaps desirable, it can never be ultimate. (shrink)

It is claimed that the indispensability argument for the existence of mathematical entities (IA) works in a way that allows a proponent of mathematical realism to remain agnostic with regard to how we establish that mathematical entities exist. This is supposed to be possible by virtue of the appeal to confirmational holism that enters into the formulation of IA. Holism about confirmation is supposed to be motivated in analogy with holism about falsification. I present an account of how holism about (...) falsification is supposed to be motivated. I argue that the argument for holism about falsification is in tension with how we think about confirmation and with two principles suggested by Quine for construing a plausible variety of holism. Finally, I show that one of Quine's principles does not allow a proponent of mathematical realism to remain agnostic with regard to how we establish that mathematical entities exist. (shrink)

The underdetermination of theory by data argument (UD) is traditionally construed as an argument that tells us that we ought to favour an anti-realist position over a realist position. I argue that when UD is constructed as an argument saying that theory choice is to proceed between theories that are empirically equivalent and adequate to the phenomena up until now, the argument will not favour constructive empiricism over realism. A constructive empiricist cannot account for why scientists are reasonable in expecting (...) one theory to be empirically adequate rather than another, given the criteria he suggests for theory choice. (shrink)

Abstract: Laudan (1984) distinguishes between two senses of success for scientific theories: (i) that a particular theory is successful, and (ii) that the methods for picking out approximately true theories are successful. These two senses of success are reflected in two different ways that the no miracles argument for scientific realism (NMA) may be set out. First, I set out a (traditional) version of NMA that considers the success of particular theories. I then consider a more recent formulation of NMA (...) (Psillos, 1999). This version of NMA is aimed at making us believe that our methods for picking out approximately true theories are reliable. I shall argue that the success of the latter argument is dependent on the success of the first. Therefore, even though Psillos presents a new formulation of NMA, the evidential support for it is no stronger than the evidential support for the original version. (shrink)

Two of the most potent challenges faced by scientific realism are the underdetermination of theories by data, and the pessimistic induction based on theories previously held to be true, but subsequently acknowledged as false. Recently, Stanford (2006, Exceeding our grasp: Science, history, and the problem of unconceived alternatives. Oxford: Oxford University Press) has formulated what he calls the problem of unconceived alternatives: a version of the underdetermination thesis combined with a historical argument of the same form as the pessimistic induction. (...) In this paper, I contend that while Stanford does present a novel antirealist argument, a successful response to the pessimistic induction would likewise defuse the problem of unconceived alternatives, and that a more selective and sophisticated realism than that which he allows is arguably immune to both concerns. (shrink)

The main theme is that theorizing serves empirical prediction. This is used as the core of a counter to contemporary anti-realist arguments. Different versions of the thesis that data underdetermines theory are identified and it is shown that none which are acceptable differentiates between theory selection and prediction. Criteria sufficient for the former are included amongst those necessary for the latter; and obviously go beyond mere compatibility with data.Special attention is given to causal process theories. It is argued that the (...) only empirically equivalent alternatives which can be constructed to any theory of this kind must be parasitic on that theory; so a choice for the original theory can not be avoided. Once this is established, a positive case for taking a realist position can be developed. (shrink)

Recent attempts to turn Standard Quantum Theory into a coherent representational system have improved markedly over previous offerings. Important questions about the nature of material systems remain open, however, as current theorizing effectively resolves into a multiplicity of incompatible statements about the nature of physical systems. Specifically, the most cogent proposals to date land in effective empirical equivalence, reviving old anti-realist fears about quantum physics. In this paper such fears are discussed and found unsound. It is argued that nothing of (...) global skeptical or agnostic significance follows from the kind of underdetermination presently encountered in fundamental quantum theory. The case is instructive, however, for what it shows about the characteristics and prospects of scientific realism as a perspective in contemporary philosophy of science. (shrink)

It is argued that the concept of observational equivalence can be made coherent, and that observationally equivalent theories can be theoretically incompatible. However, it is also argued that observationally equivalent, theoretically incompatible theories are difficult to generate in a way that leaves even a prima facie epistemological problem, for they will usually involve superfluous expansions. An account, involving a discussion of scientific realism, is given as to why superfluous expansions are not epistemolgically troublesome. Furthermore, a method is given that allows (...) one to solve the epistemological problems of those theories that are observationally equivalent, theoretically incompatible and not superfluously expanded. (shrink)

It has been argued in Dawid that physicists at times generate substantial trust in an empirically unconfirmed theory based on observations that lie beyond the theory’s intended domain. A crucial role in the reconstruction of this argument of “non-empirical confirmation” is played by limitations to scientific underdetermination. The present paper discusses the question as to how generic the role of limitations to scientific underdetermination really is. It is argued that assessing such limitations is essential for generating trust in any theory’s (...) predictions, be it empirically confirmed or not. The emerging view suggests that empirical and non-empirical confirmation are more closely related to each other than one may expect at first glance. (shrink)

According to the no miracles argument, scientific realism provides the only satisfactory explanation of the predictive success of science. It is argued in the present article that a different explanatory strategy, based on the posit of limitations to the underdetermination of scientific theory building by the available empirical data, offers a more convincing understanding of scientific success.

The thesis of underdetermination presents a major obstacle to the epistemological claims of scientific realism. That thesis is regularly assumed in the philosophy of science, but is puzzlingly at odds with the actual history of science, in which empirically adequate theories are thin on the ground. We propose to advance a case for scientific realism which concentrates on the process of scientific reasoning rather than its theoretical products. Developing an account of causal–explanatory inference will make it easier to resist the (...) thesis of underdetermination. For, if we are not restricted to inference to the best explanation only at the level of major theories, we will be able to acknowledge that there is a structure in data sets which imposes serious constraints on possible theoretical alternatives. We describe how Differential Inference, a form of inference based on contrastive explanation, can be used in order to generate causal hypotheses. We then go on to consider how experimental manipulation of differences can be used to achieve Difference Closure, thereby confirming claims of causal efficacy and also eliminating possible confounds. The model of Differential Inference outlined here shows at least one way in which it is possible to ‘reason from the phenomena’. (shrink)

Among the most serious challenges to scientific realism are arguments for the underdetermination of theory by evidence. This paper defends a version of scientific realism against what is perhaps the most influential recent argument of this sort, viz. Kyle Stanford’s New Induction over the History of Science. An essential part of the defense consists in a probabilistic analysis of the slogan “absence of evidence is not evidence of absence”. On this basis it is argued that the likelihood of a theory (...) being underdetermined depends crucially on social and historical factors, such as the structure of scientific communities and the time that has passed since the theory first became accepted. This is then shown to serve as the epistemological foundation for a version of scientific realism which avoids Stanford’s New Induction in a principled and non-question-begging way. (shrink)

If observation is 'theory-laden', how can there be 'observationally equivalent theories'? How can the observations 'laden' by one theory be 'the same as' those 'laden' by another? The answer might lie in the expressibility of observationally equivalent theories in a common mathematical formalism.

Earman (1993) distinguishes three notions of empirical indistinguishability and offers a rigorous framework to investigate how each of these notions relates to the problem of underdetermination of theory choice. He uses some of the results obtained in this framework to argue for a version of scientific anti- realism. In the present paper we first criticize Earman's arguments for that position. Secondly, we propose and motivate a modification of Earman's framework and establish several results concerning some of the notions of indistinguishability (...) in this modified framework. Finally, we interpret these results in the light of the realism/anti- realism debate. (shrink)

I present some objections to traditional literary interpretation and consider subversive interpretation as a solution to these problems. Subversive interpretation may be considered more scientific and more democratic than traditional interpretation, but it is open to doubt that it is more democratic.

The paper seeks to show that Quine’s theses concerning the underdetermination of scientific theories by experience and the indeterminacy of reference cannot be reconciled if some of Quine’s central assumptions are accepted. The argument is this. Quine holds that the thesis about reference is not just a special case of the other thesis. In order to make sense of this comment we must distinguish between factual and epistemic indeterminacy. Something is factual indeterminate if it is not determined by the facts. (...) Epistemic indeterminacy, on the other hand, is due to the lack of evidence. Quine’s claim about the relationship between the two theses is best understood as saying that reference is factually indeterminate, whereas the underdetermination of scientific theories is merely epistemic. But the latter cannot be sustained in light of Quine’s verificationism, holism and naturalism. (shrink)

The underdetermination of theory by data obtains when, inescapably, evidence is insufficient to allow scientists to decide responsibly between rival theories. One response to would-be underdetermination is to deny that the rival theories are distinct theories at all, insisting instead that they are just different formulations of the same underlying theory; we call this the identical rivals response. An argument adapted from John Norton suggests that the response is presumptively always appropriate, while another from Larry Laudan and Jarrett Leplin suggests (...) that the response is never appropriate. Arguments from Einstein for the special and general theories of relativity may fruitfully be seen as instances of the identical rivals response; since Einstein’s arguments are generally accepted, the response is at least sometimes appropriate. But when is it appropriate? We attempt to steer a middle course between Norton’s view and that of Laudan and Leplin: the identical rivals response is appropriate when there is good reason for adopting a parsimonious ontology. Although in simple cases the identical rivals response need not involve any ontological difference between the theories, in actual scientific cases it typically requires treating apparent posits of the various theories as mere verbal ornaments or computational conveniences. Since these would-be posits are not now detectable, there is no perfectly reliable way to decide whether we should eliminate them or not. As such, there is no rule for deciding whether the identical rivals response is appropriate or not. Nevertheless, there are considerations that suggest for and against the response; we conclude by suggesting two of them. (shrink)

This document collects discussion and commentary on issues raised in the workshop by its participants. Contributors are: Greg Frost-Arnold, David Harker, P. D. Magnus, John Manchak, John D. Norton, J. Brian Pitts, Kyle Stanford, Dana Tulodziecki.

The goal of this article is to show that the structuralist approachprovides a powerful framework for the analysis of certain holistic phenomena in empirical theories.We focus on two aspects of holism. The first refers to the involvement of comprehensive complexes of hypothesesin the theoretical treatment of systems regarded in isolation. By contrast, the second refers to thecorrelation between the theoretical descriptions of different systems. It is demonstrated how these two aspectscan be analysed by making use of the structuralist notion of (...) theory-nets, and how they are reflected by a refinedversion of the Ramsey sentence. Furthermore, it is argued that there exists a tight correlation between theoccurrence of these two holistic phenomena, a specific form of underdetermination of terms which occur in thefundamental principles of an empirical theory, and the shaping of the theory's protective belt. After having dealtwith these questions in abstracto, the relevance of these considerations for a better understanding of the dynamicsof empirical theories is demonstrated in a concrete case study. It refers to the role holistic phenomenaplayed in the investigation of the anomalous advance of Mercury's perihelion and in the various attempts to eliminate this anomaly. (shrink)

Kyle Stanford’s arguments against scientific realism are assessed, with a focus on the underdetermination of theory by evidence. I argue that discussions of underdetermination have neglected a possible symmetry which may ameliorate the situation.

Milner and Goodale's Two Visual Systems Hypothesis is regarded as common ground in recent discussions of visual consciousness. A central part of TVSH is a functional model of vision and action. In this paper, I provide a brief overview of these current discussions and argue that there is ambiguity between a strong and a weak version of PAM. I argue that, given a standard way of individuating computational mechanisms, the available evidence cannot be used to distinguish between these versions. This (...) not only has consequences for philosophical theories of the role of visual consciousness but also for the role of experimental evidence in model testing in cognitive neuroscience. (shrink)

The underdetermination thesis , the claim that every theory has a rival that is equally reasonable to believe given all the possible evidence, is central in the debate between Scientific Realists and Scientific Anti-Realists. We address central arguments on both sides and argue for the truth of a certain version of the thesis. ;Scientific Realists argue that UD is false because the class of facts relative to which the rivals are compared can change in unforeseeable ways because: the class of (...) observable facts is unstable , and the dependence of the derivation of consequences about the observable on auxiliary theories. We show first that being observable should be distinguished from our belief that a certain fact is observable, and thus we should care about whether theories have rivals given what is actually observable. We also argue that it is sufficient to compare theories with respect to what they say about a small class of facts that are observable in our world, and are manipulable by observers. In order to avoid problems that arise due to the possible appeal to auxiliary theories we propose to examine UD with respect to total fundamental theories. As a result, the Scientific Realists' worries can be avoided when we examine the following version of UD: UD If the true total fundamental theory of our world is X, then it has a total fundamental rival that entails exactly the same consequences about pointer readings. ;We show that this is true when X is the Quantum Formalism: Bohm's Theory and the Many Worlds Interpretation are empirically equivalent in that sense. ;Scientific Anti-Realists argue that there are many ways to generate empirically equivalent rivals. We show that the main theories of confirmation provide grounds to dismiss the proposed rivals because they are considerably less well-confirmed. We argue, however, that it seems unreasonable to assume that the eventual "ideal" theory of confirmation will guarantee that a choice can be made between any pair of empirically equivalent rivals. In the Quantum Mechanics case, we examine one argument against the reasonability of the initial probability distribution in Bohm's Theory and show why it is wrong. (shrink)

What makes a high-quality biomarker experiment? The success of personalized medicine hinges on the answer to this question. In this paper, I argue that judgment about the quality of biomarker experiments is mediated by the problem of theoretical underdetermination. That is, the network of biological and pathophysiological theories motivating a biomarker experiment is sufficiently complicated that it often frustrates valid interpretation of the experimental results. Drawing on a case-study in biomarker diagnostic development from neurooncology, I argue that this problem of (...) underdetermination can be overcome with greater coordination across the biomarker research trajectory. I then sketch an account for how coordination across a research trajectory can be evaluated. I ultimate conclude that what makes a high-quality biomarker experiment must be judged by the epistemic contribution it makes to this coordinated research effort. (shrink)

This paper examines the scientific controversy over the yields of genetically modified [GM] crops as a case study in epistemologically deep disagreements. Appeals to “the evidence” are inadequate to resolve such disagreements; not because the interlocutors have radically different metaphysical views (as in cases of incommensurability), but instead because they assume rival epistemological frameworks and so have incompatible views about what kinds of research methods and claims count as evidence. Specifically, I show that, in the yield debate, proponents and opponents (...) of GM crops cite two different sets of claims as evidence, which correspond to two rival epistemological frameworks, classical experimental epistemology and Nancy Cartwright's evidence for use. I go on to argue that, even if both sides of the debate accepted Cartwright's view, they might still disagree over what counts as evidence, because evidence for use ties standards of evidence to what is sometimes called the “context of application.”. (shrink)