This paper investigates the key drivers behind the origins of value-for-money (VFM) audit in Canada and the aims, intents, and logics ascribed by the original proponents. Drawing on insights from governmentality and New Public Management, the paper utilizes analysis methods adapted from case study research to review a wide range of primary documentation (e.g., Hansards from the Public Accounts Committee, House of Commons debates, the so-called Wilson report and the FMCS study) and secondary documentation (newspaper articles, Office of the (...) Auditor General internal publications, journal articles). Major findings indicate a rise of a management consulting culture within the Auditor General’s office following the appointment of James Johnson Macdonell. VFM legislation effectively operationalized practices drawn from management consulting expertise by invitation of the consultant. It was offered as an answer to the growing scope and size of government, which had become problematized by the Auditor General in terms of parliament losing control over the public purse. The Auditor General’s invocation of financial crisis led to a substantial broadening of mandate and increase in resources for that office. (shrink)

In this paper I shall defend the idea that there is an abstract and general core meaning of objectivity, and what is seen as a variety of concepts or conceptions of objectivity are in fact criteria of, or means to achieve, objectivity. I shall then discuss the ideal of value-free science and its relation to the objectivity of science; its status can be at best a criterion of, or means for, objectivity. Given this analysis, we can then turn (...) to the problem of inductive risk. Do the value judgements regarding inductive risk really pose a threat to the objectivity of science? I claim that this is not the case because they do not lower the thresholds scientifically postulated for objectivity. I shall conclude the paper with a discussion of under-appreciated influences of values on science, which indeed pose a serious threat to the objectivity of some scientific disciplines. (shrink)

These are some of the central questions that Robert Proctor addresses in his study of the politics of modern science.

The ideal of value free science states that the justification of scientific findings should not be based on non-epistemic (e.g. moral or political) values. It has been criticized on the grounds that scientists have to employ moral judgements in managing inductive risks. The paper seeks to defuse this methodological critique. Allegedly value-laden decisions can be systematically avoided, it argues, by making uncertainties explicit and articulating findings carefully. Such careful uncertainty articulation, understood as a methodological strategy, is exemplified (...) by the current practice of the Intergovernmental Panel on Climate Change (IPCC). (shrink)

This book brings together key players in the current debate on positive and normative science and philosophy and value judgements in economics. Both editors have engaged in these debates throughout their careers from its early foundations; Putnam as a doctorial student of Hans Reichenbach at UCLA and Walsh a junior member of Lord Robbinsâe(tm)s department at the London School of Economics, both in the early 1950s. This book collects recent contributions from Martha Nussbaum and Harvey Gram, as well as (...) a new chapter from the editors. (shrink)

While the debate on values in science focuses on normative questions on the level of the individual (e.g. should researchers try to make their work as value free as possible?), comparatively little attention has been paid to the institutional and professional norms that researchers are expected to follow. To address this knowledge gap, we conduct a content analysis of leading national codes of conduct for research integrity of European countries, and structure our analysis around the question: do these (...) documents allow for researchers to be influenced by “non-epistemic” (moral, cultural, commercial, political, etc.) values or do they prohibit such influence in compliance with the value-free ideal (VFI) of science? Our results return a complex picture. On the one hand, codes of conduct consider many non-epistemic values to be a legitimate influence on the decision-making of researchers. On the other, most of these documents include what we call _VFI-like positions_: passages claiming that researchers should be free and independent from any external influence. This shows that while many research integrity documents do not fully endorse the VFI, they do not reject it and continue to be implicitly influenced by it. This results in internal tensions and underdetermined guidance on non-epistemic values that may limit some of the uses of research integrity codes, especially for purposes of ethical self-regulation. While codes of conduct cannot be expected to decide how researchers should act in every instance, we do suggest that they acknowledge the challenges of how to integrate non-epistemic values in research in a more explicit fashion. (shrink)

Even if the “value-free ideal of science” (VFI) were an unattainable goal, one could ask: can it be a useful fiction, one that is beneficial for the research community and society? This question is particularly crucial for scholars and institutions concerned with research integrity (RI), as one cannot offer normative guidance to researchers without making some assumptions about what ideal scientific research looks like. Despite the insofar little interaction between scholars studying RI and those working on values in (...) science, the overlap of topics and interests make collaboration between the two fields promising for understanding research and its ethics. Here, we identify—for the use of RI scholars—the non-epistemic reasons (societal, political, professional) for and against the VFI considered in the literature. All of these are concerned with the beneficial or detrimental consequences that endorsing the VFI would have on society, policy-making, or the scientific community, with some authors appealing to the same principles to argue for opposite positions. Though most of the reviewed articles do not endorse the VFI, it is generally agreed that some constraints have to be put on the use of non-epistemic values. Disagreement on the utility of the VFI lies both on the different epistemic-descriptive positions taken by different authors, and on the scarcity of relevant empirical studies. Engaging critically with the reasons here identified and more in general with the values in science debate will help the RI community decide whether the VFI should be included in future codes of conduct. (shrink)

The proper role of non-epistemic values such as moral, political, and social values in practices of justification of policy-relevant hypotheses has recently become one of the central questions in philosophy of science. This strand of research has yielded conceptual clarifications and significant insight into the complex and notoriously contentious issue of the proper relationship between science, non-epistemic values, and policymaking. A central part of this discussion revolves around whether scientists should aspire for the value-free ideal, according to which (...) non-epistemic values are unacceptable in the justification of hypotheses. By so doing, scientists can... (shrink)

Douglas proposes a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, protecting the integrity and objectivity of science.

Arguing from inductive risk, Heather Douglas tried to show that the ideal of value-free science is completely unfounded. The argument has been widely acknowledged to be a strong argument against the ideal. In this paper, beginning with an analysis of the concept of an ideal, we argue that the value-free ideal is an epistemic ideal rather than a practical or ethical ideal. Then, we aim to show that the argument from inductive risk cannot be employed against (...) the value-free ideal as far as it is understood as an epistemic ideal. We try to show that the argument takes practical and ethical limitations of actual scientific enterprise into account to undermine the value-free ideal. But employing non-epistemic considerations makes the argument impotent against an epistemic ideal. (shrink)

The goal of the article is to substantiate that despite the criticism the paradigm in economics will not change because of the axiomatic assumptions of value-free economics. How these assumptions work is demonstrated on the example of Gary Becker’s economic approach which is analyzed from the perspective of scientific research programme. The author indicates hard core of economic approach and the protective belt which makes hard core immune from any criticism. This immunity leads economists to believe that they (...) are objective scientists and, consequently, it results in epistemological hubris. Due to its tautological nature, economic approach is considered to be a degenerative programme. This conclusion is extended on value-free economics. In spite of these problems, many economists still believe in positive economics and they dismiss normative approaches. It has a negative influence on people. The conclusion of the article is that thanks to axiomatic assumptions economists do not have objective and ironclad methodology and they should accept normative values in their research. (shrink)

The aim of this article is to argue that ontological choices in scientific practice undermine common formulations of the value-free ideal in science. First, I argue that the truth values of scientific statements depend on ontological choices. For example, statements about entities such as species, race, memory, intelligence, depression, or obesity are true or false relative to the choice of a biological, psychological, or medical ontology. Second, I show that ontological choices often depend on non-epistemic values. On the (...) basis of these premises, I argue that it is often neither possible nor desirable to evaluate scientific statements independently of non-epistemic values. Finally, I suggest that considerations of ontological choices do not only challenge the value-free ideal but also help to specify positive roles of non-epistemic values in an often neglected area of scientific practice. (shrink)

Exploring the role of values in scientific inquiry, Hugh Lacey examines the nature and meaning of values, and looks at challenges to the view, posed by postmodernists, feminists, radical ecologists, Third-World advocates and religious fundamentalists, that science is value free. He also focuses on discussions of 'development', especially in Third World countries. This paperback edition includes a new preface.

Despite the conclusions from the contemporary philosophy of science, many economists cherish the ideal of positive science. Therefore, value-free economics is still the central paradigm in economics. The first aim of the paper is to investigate economics' axiomatic assumptions from an epistemological perspective. The critical analysis of the literature shows that the positive-normative dichotomy is exaggerated. Moreover, value-free economics is based on normative foundations that have a negative impact on individuals and society. The paper's second aim (...) is to show that economics' normativity is not a problem because the discussion concerning values is possible and unavoidable. In this context, Weber and other methodologists are investigated. The conclusion of the paper is that science can thrive without strict methodological rules thanks to institutional mechanisms. Therefore, economists could learn from artists who accept the world without absolute rules. This perspective opens the possibility for methodological pluralism and normative approaches. (shrink)

This chapter contains sections titled: Two‐and Three‐Valued Logics Finite Valued Systems with more than Three Values Infinite Valued Systems Vagueness, Many‐valued and Fuzzy Logics Boolean Valued Systems Supervaluations are Boolean Valued Logics Free Logic Intuitionism Conclusions.

Against the ideal of value-free science I argue that science is not––and cannot be––value-free and that relevant values are both cognitive and moral. I develop an argument by indicating various aspects of the value-ladenness of science. The recognition of the value-ladenness of science requires rethinking our understanding of the rationality and responsibility of science. Its rationality cannot be seen as merely instrumental––as it was seen by the ideal of value-free science––for this would (...) result in limiting the autonomy of science and reducing scientists to “minds to hire”. The scientific rationality must be seen as practical rationality which takes into account the full horizon of values. The scientific responsibility must also be broaden in scope and type. On this basis I draw three practical conclusions concerning the organization of research and training of young scientists, appealing to Plato’s claim that those most capable of healing are also those most capable of harming. (shrink)

As inductive decision-making procedures, the inferences made by machine learning programs are subject to underdetermination by evidence and bear inductive risk. One strategy for overcoming these challenges is guided by a presumption in philosophy of science that inductive inferences can and should be value-free. Applied to machine learning programs, the strategy assumes that the influence of values is restricted to data and decision outcomes, thereby omitting internal value-laden design choice points. In this paper, I apply arguments from (...) feminist philosophy of science to machine learning programs to make the case that the resources required to respond to these inductive challenges render critical aspects of their design constitutively value-laden. I demonstrate these points specifically in the case of recidivism algorithms, arguing that contemporary debates concerning fairness in criminal justice risk-assessment programs are best understood as iterations of traditional arguments from inductive risk and demarcation, and thereby establish the value-laden nature of automated decision-making programs. Finally, in light of these points, I address opportunities for relocating the value-free ideal in machine learning and the limitations that accompany them. (shrink)

The books’ goal is to answer the question: Do the weaknesses of value-free economics imply the need for a paradigm shift? The author synthesizes criticisms from different perspectives (descriptive and methodological). Special attention is paid to choices over time, because in this area value-free economics has the most problems. In that context, the enriched concept of multiple self is proposed and investigated. However, it is not enough to present the criticisms towards value-free economics. For (...) scientists, a bad paradigm is better than no paradigm. Therefore, the author considers whether value-based economics with normative approaches such as economics of happiness, capability approach, libertarian paternalism, and the concept of multiple self can be the alternative paradigm for value-free economics. This book is essential reading to everyone interested in the current state of economics as a discipline. (shrink)

The aim of this article is to argue that ontological choices in scientific practice undermine common formulations of the value-free ideal in science. First, I argue that the truth values of scientific statements depend on ontological choices. For example, statements about entities such as species, race, memory, intelligence, depression, or obesity are true or false relative to the choice of a biological, psychological, or medical ontology. Second, I show that ontological choices often depend on non-epistemic values. On the (...) basis of these premises, I argue that it is often neither possible nor desirable to evaluate scientific statements independently of non-epistemic values. Finally, I suggest that considerations of ontological choices do not only challenge the value-free ideal but also help to specify positive roles of non-epistemic values in an often neglected area of scientific practice. (shrink)

Among other things, the philosophical tradition of pragmatism provides a theory of inquiry and a theory of collective action. The theory of inquiry frames how humans investigate their problems and devise solutions; the theory of collective action frames how we work together to implement solutions to shared problems. Though philosophical, pragmatism aims to integrate philosophy and practice by developing theory that is useful for solving the problems that press on people’s lives. In spite of this intention, and perhaps because of (...) disciplinary boundaries, practitioners in the social sciences, sciences, and professions do not always see pragmatism as being as relevant and useful as philosophers have hoped and.. (shrink)

Many philosophers of science have maintained that science should be value-free; still others believe that such ideal is neither achievable nor desirable for science. Hugh Lacey is presently one of the main supporters of the idea of value-free science and his theory is probably the most debated today and attracts the most attention and criticism. Therefore, in this text, I will primarily analyze his theory of value-free science. After briefly defining the notion of (...) class='Hi'>value I highlight which strategy Lacey chooses to lay a firm foundation for the concept of science without value, with his starting point being the differentiation between cognitive and non-cognitive values. Then I describe three basic characteristics of Lacey’s value-free science: impartiality, neutrality, and autonomy. However, the overall plan and design of his project, together with some concrete steps he takes, are not without problems in our view. I will try to point out some of these problematic issues and provide brief suggestions for alleviating them. (shrink)

Many philosophers of science have maintained that science should be value-free; still others believe that such ideal is neither achievable nor desirable for science. Hugh Lacey is presently one of the main supporters of the idea of value-free science and his theory is probably the most debated today and attracts the most attention and criticism. Therefore, in this text, I will primarily analyze his theory of value-free science. After briefly defining the notion of (...) class='Hi'>value I highlight which strategy Lacey chooses to lay a firm foundation for the concept of science without value, with his starting point being the differentiation between cognitive and non-cognitive values. Then I describe three basic characteristics of Lacey’s value-free science: impartiality, neutrality, and autonomy. However, the overall plan and design of his project, together with some concrete steps he takes, are not without problems in our view. I will try to point out some of these problematic issues and provide brief suggestions for alleviating them. (shrink)

The argument from inductive risk has been embraced by many as a successful account of the role of values in science that challenges the value-free ideal. We argue that it is not obvious that the argument from inductive risk actually undermines the value-free ideal. This is because the inductive risk argument endorses an assumption held by proponents of the value-free ideal: that contextual values never play an appropriate role in determining evidence. We show that (...) challenging the value-free ideal ultimately requires rejecting this assumption. (shrink)

The value-free ideal for science prohibits noncognitive values from influencing the practice of science. After all, a scientist should not reject an empirical theory on religious grounds. But while motivated by reasonable concerns, VFI overlooks legitimate roles for noncognitive values in science. Contra VFI, Hugh Lacey explains that noncognitive values can promote scientific aims by grounding new methodologies that may lead to novel theories and extend to new domains. Yet, Lacey agrees with one aspect of VFI: noncognitive values (...) should not serve as grounds in the empirical evaluation of theories. This has led some critics to misidentify his view merely as an updated version of VFI. I argue that views of the kind Lacey endorses, which I call Dialectical Empiricism, deserve further investigation. They capture what VFI gets right; but they also show that noncognitive values are essential to good science. Throughout the dissertation I explore variants of DE, demonstrating its potential and flexibility. Furthermore, I defend DE against its critics, especially those who mistake it for a version of VFI. In stark opposition to VFI, DE reveals how the illusion of value-freedom sometimes blinds us to promising alternatives to mainstream scientific approaches. I demonstrate this by applying the framework of DE to contemporary research in agricultural and nutritional science. These case studies show that noncognitive values really do influence scientific practices. And, most importantly, they demonstrate how embracing a value-laden view of science can open our eyes to promising alternative approaches that may have the potential to increase our knowledge of the world and of possibilities for human flourishing. (shrink)

In a recent paper, Gregor Betz has defended the value-free ideal: “the justification of scientific findings should not be based on non-epistemic values”against the methodological critique, by reference to the work of the International Panel on Climate Change . This paper argues that Betz’s defence is unsuccessful. First, Betz’s argument is sketched, and it is shown that the IPCC does not avoid the need to “translate” claims. In Section 2, it is argued that Betz mischaracterises the force of (...) the methodological critique. Section 3 shows why the methodological critique still applies to the work of the IPCC even on a refined version of Betz’s argument. Section 4 then considers an alternative way of defending the work of the IPCC which is in-line with, but does not clearly vindicate, the value-free ideal. (shrink)

A popular view in philosophy of science contends that scientific reasoning is objective to the extent that the appraisal of scientific hypotheses is not influenced by moral, political, economic, or social values, but only by the available evidence. A large body of results in the psychology of motivated-reasoning has put pressure on the empirical adequacy of this view. The present study extends this body of results by providing direct evidence that the moral offensiveness of a scientific hypothesis biases explanatory judgment (...) along several dimensions, even when prior credence in the hypothesis is controlled for. Furthermore, it is shown that this bias is insensitive to an economic incentive to be accurate in the evaluation of the evidence. These results contribute to call into question the attainability of the ideal of a value-free science. (shrink)

It is often claimed that science should be "value-free in that ethical, political, and social values have no legitimate role in the justification of scientific theories. Although such values may influence which hypotheses are pursued, or whether some application of scientific theories is desirable, they play no legitimate role in scientific reasoning. ;I argue against the view that all science ought to be value-free. Examining a range of cases from biology, epidemiology, pathology, and atmospheric sciences I (...) show that ethical and political values can operate in cases widely agreed to be "good science." Drawing on recent work by Helen Longino and Phillip Kitcher, I argue that in many research contexts the goals of scientific research cannot be separated from ethical and political interests. As a result, there are at least four ways ethical and political value judgments can play a legitimate role in the justification of scientific theories. First, in certain research contexts, ethical and political values help justify and apply criteria for theory choice . Second, ethical and political aims of inquiry can give scientists reason to adopt conceptual frameworks that contain ethical or political normative content. In these contexts, ethical and political value judgments play a legitimate role as auxiliary hypotheses in generating evidential relations. Third, when scientific research has implications for public policy, scientists must weigh ethical values in determining which risks are "acceptable" in classifying data. Finally, ethical and political considerations can be relevant to evaluating whether an interpretation of data is biased. ;A consequence of my view is that, in some contexts, "value-free" science is not only impossible, but also epistemologically irresponsible. Good science will sometimes require scientists to weigh the ethical and political values at stake in their research. As a result, scientists should be trained to think critically about the ethical and political dimensions of their work. (shrink)

Philosophers of science debate the proper role of non-epistemic value judgements in scientific reasoning. Many modern authors oppose the value free ideal, claiming that we should not even try to get scientists to eliminate all such non-epistemic value judgements from their reasoning. W. E. B. Du Bois, on the other hand, has a defence of the value free ideal in science that is rooted in a conception of the proper place of science in a (...) democracy. In particular, Du Bois argues that the value free ideal must be upheld in order to, first, retain public trust in science and, second, ensure that those best placed to make use of scientifically acquired information are able to do so. This latter argument turns out to relate Du Bois’ position on the value free ideal in science to his defence of epistemic democracy. In this essay I elaborate, motivate, and relate to the modern debate, Du Bois’ under-appreciated defence of the value free ideal. (shrink)

There is a widespread, popular view—and one I basically endorse—that Nietzsche is, in one sense of the word, a nihilist. As Arthur Danto put it some time ago, according to Nietzsche, “there is nothing in [the world] which might sensibly be supposed to have value.” As interpreters of Nietzsche, though, we cannot simply stop here. Nietzsche's higher men, Übermenschen, “genuine philosophers”, free spirits—the types Nietzsche wants to bring forth from the human, all-too-human herds he sees around him with (...) the fish hooks, as he says, of his books—seem to engage in what looks like valuing. These free spirits are supposed to revalue the old values—revaluing, as is clear from the texts, is not simply to remove the old values from circulation (Nietzsche uses “umwerten” and not “entwerten”)—and they are supposed to create new values. And, of course, Nietzsche himself, free spirit that he is, takes on the task of revaluing all values and seems to assert many a strident evaluation. So we need to say more here. What are Nietzsche and his free spirits up to when they engage in what looks, for all the world, like a practice of valuing? What is the practice of valuing Nietzsche is recommending for his free spirits? I argue for two claims: (i) First, we end up facing an interpretive puzzle when we attempt to explain how Nietzsche's free spirits are supposed to engage in a practice of valuing. (ii) Second, we can solve the interpretive puzzle by taking Nietzsche's free spirits to be engaged in a fictionalist simulacrum of valuing. (shrink)

Open peer commentary on the article “Second-Order Science: Logic, Strategies, Methods” by Stuart A. Umpleby. Upshot: The author claims that second-order science leads to “an awareness of our impact on our social and biological environment.” If this is true, it is sheer irresponsibility not to address the possibility that human activity is leading the biosphere to a point of catastrophic collapse. More generally, I hold that science should openly address explicitly value-laden issues.