Value-Free Science

Social and medical scientists frequently produce empirical generalizations that involve concepts partly defined by value judgments. These generalizations, which have been called ‘mixed claims’, raise interesting questions. Does the presence of them in science imply that science is value-laden? Is the value-ladenness of mixed claims special compared to other kinds of value-ladenness of science? Do we lose epistemically if we reformulate these claims as conditional statements? And if we want to allow mixed claims in science, do we need a new (...) account of how to reconcile values with objectivity? Alexandrova (2017, 2018) offers affirmative answers to these questions. In responding to Alexandrova’s arguments, this discussion note motivates negative ones and in doing so casts new light on mixed claims. (shrink)

When it originated in the late 19th century, psychometrics was a field with both a scientific and a social mission: psychometrics provided new methods for research into individual differences, and at the same time, these psychometric instruments were considered a means to create a new social order. In contrast, contemporary psychometrics - due to its highly technical nature and its limited involvement in substantive psychological research - has created the impression of being a value-free discipline. In this article, we develop (...) a contrasting characterization of contemporary psychometrics as a value-laden discipline. We expose four such values: that individual differences are quantitative (rather than qualitative), that measurement should be objective in a specific sense, that test items should be fair, and that utility of a model is more important than its truth. Our goal is not to criticize psychometrics for employing these values, but rather to bring them into the open and to show that these values are not inevitable and are in need of systematic evaluation. (shrink)

Previous Responsible Innovation (RI) research has provided valuable insights on the value conflicts inherent to societally desirable innovation. By observing the responses of firms to these conflicts, Value-sensitive Absorptive Capacity (VAC) captures the organizational capabilities to become sensitive to these value conflicts and thus, innovate more responsibly. In this article, we construct a survey instrument to assess VAC, based on previous work by CSR and RI scholars. The construct and concurrent validity of the instrument were tested in an empirical study, (...) including 109 employees of 30 food manufacturing firms. The results from the survey were then compared with the conceptual VAC dimensions. With this comparison, we do not only contribute to the substantiation of the VAC construct, but we also show how inductive and deductive approaches can be combined to build theory regarding RI in a transdisciplinary manner. (shrink)

To clarify the proper role of values in science, focusing on controversial expert responses to Covid-19, this article examines the status of (in)convenient hypotheses. Polarizing cases like health experts downplaying mask efficacy to save resources for healthcare workers, or scientists dismissing “accidental lab leak” hypotheses in view of potential xenophobia, plausibly involve modifying evidential standards for (in)convenient claims. Societies could accept that scientists handle (in)convenient claims just like nonscientists, and give experts less political power. Or societies could hold scientists to (...) a higher bar, by expecting them not to modify evidential standards to avoid costs only incidentally tied to error. (shrink)

If any area of current philosophy is so incendiary as to veer on violence, it is argument about a divide being’s existence. Hinman’s sober offering is possibly one of the most thorough apologetics in contemporary times, meriting serious consideration yet certain to draw fire. Since Darwin, the religious have taken up arms, both metaphorically and, in the case of World Trade Center and its imitators, literally. In turn, growing atheist movements reacted against such defensiveness. This upsurge in side-taking and regrouping (...) evidences a powerful human need for settling the issue. A peek at the arguments reveals a mess. One advantage of Hinman’s new work is that, among other goals, it attempts to order the mess. The work exudes care and some respect for the various perspectives. Its sheer breadth and depth of scholarship and capacity in articulating it attests the generally due respect of the many sides, which often exhibit the rational and irrational in one commentator. The central theme tying the various arguments together is that ideologies outside of the sciences’ themselves are informing science-based, evidential arguments about any divine’s existence. Many sides of the debate, including the monotheistic, are equally guilty. (shrink)

While the Value-Free Ideal of science has suffered compelling criticism, some advocates like Gregor Betz continue to argue that science policy advisors should avoid value judgments by hedging their hypotheses. This approach depends on a mistaken understanding of the relations between facts and values in regulatory science. My case study involves the morning-after pill Plan B and the “Drug Fact” that it “may” prevent implantation. I analyze the operative values, which I call zygote-centrism, responsible for this hedged drug label. Then, (...) I explain my twofold account of value-ladenness, involving the constitutive role of value judgments in science and the social function of facts as political tools. Because this drug fact is ineliminably value-laden in both senses, I conclude that hedged hypotheses are not necessarily value-free. (shrink)

Although the impact of so-called “sponsorship bias” has been the subject of increased attention in the philosophy of science, what exactly constitutes its epistemic wrongness is still debated. In this paper, I will argue that neither evidential accounts nor social–epistemological accounts can fully account for the epistemic wrongness of sponsorship bias, but there are good reasons to prefer social–epistemological to evidential accounts. I will defend this claim by examining how both accounts deal with a paradigm case from medical epistemology, recently (...) discussed in a paper by Bennett Holman. I will argue that evidential accounts cannot adequately capture cases of sponsorship bias that involve the manufacturing of certainty because of their neutrality with respect to the role of non-epistemic values in scientific practice. If my argument holds, it further highlights the importance of integrating social and ethical concerns into epistemological analysis, especially in applied contexts. One can only properly grasp sponsorship bias as an epistemological problem if one resists the methodological tendency to analyze social, ethical, and epistemological issues in isolation from each other. (shrink)

Moral, social, political, and other “nonepistemic” values can lead to bias in science, from prioritizing certain topics over others to the rationalization of questionable research practices. Such values might seem particularly common or powerful in the social sciences, given their subject matter. However, I argue first that the well-documented phenomenon of motivated reasoning provides a useful framework for understanding when values guide scientific inquiry (in pernicious or productive ways). Second, this analysis reveals a parity thesis: values influence the social and (...) natural sciences about equally, particularly because both are so prominently affected by desires for social credit and status, including recognition and career advancement. Ultimately, bias in natural and social science is both natural and social— that is, a part of human nature and considerably motivated by a concern for social status (and its maintenance). Whether the pervasive influence of values is inimical to the sciences is a separate question. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with Kuhn a number (...) of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)

Bilimsel faaliyetin ve bilimsel bilginin en temel özelliklerinden bir tanesi olarak karşımıza çıkan bilimsel nesnellik bilim felsefesi alanı içerisinde sıklıkla tartışılan bir konu olagelmiştir. Bu doğrultuda, bilimsel nesnelliğin temin edilmesine yönelik çeşitli görüşler ileri sürülmektedir. Genel olarak bilimsel nesnellik bilim insanlarının çalışmalarında olguları doğrudan yansıtması ya da bilim insanlarının çalışmalarını tarafsız bir bakış açısıyla tamamlaması olarak anlaşılmaktadır. Bu görüşlerin bilim felsefesi içerisindeki yansımaları sırasıyla olgulara bağlılık olarak nesnellik ve hiçbir yerden bakış olarak nesnellik isimleriyle olmuştur. Bu bakış açısı, kişisel çıkarların (...) ve değerlerin bilimsel çalışmalardan izole edilmesi sayesinde bilimsel nesnelliğin sağlanabileceğini kabul etmektedir. Diğer bir deyişle, bilimler değerlerden bağımsız olduğu takdirde nesnel olabilmektedirler. Bu görüşe karşı olarak, Helen Longino gibi bilim insanları ise değerleri bilimsel nesnelliğin bir gerekliliği olarak görmektedirler. Bu çalışmada, özellikle değerlerin göz ardı edilmesiyle bilimsel nesnelliğin gerçekleştirilmesinin mümkün olamayacağını vurgulan Helen Longino’nun “bağlamsal deneycilik” olarak bilinen görüşlerine yer verilmektedir. Buna göre Longino, bilimsel araştırmanın toplumsal yönlerini göz önünde bulundurarak değerden bağımsız ideali tamamen reddetmektedir. O değer yüklü bir bilimin hem bilgi kuramsal açıdan hem de nesnellik açısından güvenilir olabileceğini düşünmektedir. -/- Scientific objectivity, which is one of the most basic features of scientific activity and scientific knowledge, is a subject that is frequently discussed in the field of philosophy of science. In this direction, various views are put forward to ensure scientific objectivity. In general, scientific objectivity is understood as scientists reflecting the facts as they are in their studies or scientists completing their studies with an impartial point of view. The reflections of these views in the philosophy of science were respectively called objectivity as faithfulness to facts and objectivity as a view from nowhere. This perspective recognizes that scientific objectivity can be achieved by isolating personal interests and values from scientific studies. In other words, sciences can only be objective if they are value-free. Against this view, scientists such as Helen Longino see values as a necessity of scientific objectivity. In this study, Helen Longino's views known as "contextual empiricism" are included. Accordingly, it is emphasized that it is not possible to realize scientific objectivity by ignoring values. Longino completely rejects the value-free ideal, considering the social aspects of scientific research. She thinks that a value-laden science can be reliable both in terms of epistemology and objectivity. (shrink)

One of the main purposes of science is to explain natural phenomena by increasing our understanding of the physical world and to make predictions about the future based on these explanations. In this context, scientific theories can be defined as large-scale explanations of phenomena. In the historical process, scientists have made various choices among the theories they encounter at the point of solving the problems related to their fields of study. This process, which can be called ‘theory choice’, is one (...) of the most debated issues in the field of philosophy of science in the twentieth century, because this discussion is a very comprehensive problem because it includes important issues such as the use of logical arguments and the determination of the scientific method. At the point of solving this problem, members of the Vienna Circle and Karl Popper think that an objective criterion can be determined by which scientists can apply for theory choice. While the Vienna Circle emphasizes that the best-confirmed theory should be chosen among competing theories, Popper states that competing theories or theories should be tested ruthlessly with appropriate methods, and that successful or corroborated theories should be selected as a result of these tests. Contrary to these views Kuhn states that there are some non-obligatory subjective elements that scientists should follow at the point of theory choice. Accordingly, in this study, the problem of how scientists make their choices among competing theories will be discussed by highlighting Kuhn’s arguments regarding the subjective nature of theory selection. (shrink)

I critically analyze Kevin Elliott’s A Tapestry of Values in order to tease out his views on the nature and status of values or value judgments in the text. I show there is a tension in Elliott’s view that is closely connected to a major lacuna in the philosophical literature on values in science: the need for a better theory of values.

It is now commonly held that values play a role in scientific judgment, but many arguments for that conclusion are limited. First, many arguments do not show that values are, strictly speaking, indispensable. The role of values could in principle be filled by a random or arbitrary decision. Second, many arguments concern scientific theories and concepts which have obvious practical consequences, thus suggesting or at least leaving open the possibility that abstruse sciences without such a connection could be value-free. Third, (...) many arguments concern the role values play in inferring from evidence, thus taking evidence as given. This paper argues that these limitations do not hold in general. There are values involved in every scientific judgment. They cannot even conceivably be replaced by a coin toss, they arise as much for exotic as for practical sciences, and they are at issue as much for observation as for explicit inference. (shrink)

Understanding science requires appreciating the values it presupposes and its social context. Both the values that scientists hold and their social context can affect scientific communication. Philosophers of science have recently begun studying scientific communication, especially as it relates to public policy. Some have proposed “guiding principles for communicating scientific findings” to promote trust and objectivity. This paper contributes to this line of research in a novel way using behavioural experimentation. We report results from three experiments testing judgments about the (...) trustworthiness, competence and objectivity of scientists. More specifically, we tested whether such judgments are affected by three factors: consulting or not consulting nonscientists, conducting research under a restrictive or non-restrictive governmental communication policy, and the source of a lab’s funding. We found that each of these factors affects ordinary judgments of trustworthiness, competence and objectivity. These findings support several recommendations that could help improve scientific communication and communication policies. (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 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)

English abstract: Feminist philosophers of science have argued that various biases can and do influence the results of scientific investigations. Two kinds of arguments have been most influential: On the one hand, it has been argued that biased assumptions frequently bridge the gap between observation and theory associated with ‘the underdetermination thesis’. On the other hand, it has been argued that biased value judgments determine when the evidence in favor of a particular theory is considered sufficiently strong for the theory (...) to be accepted as true. This paper argues that bias can influence the results of scientific investigations via a third route. Briefly, biases can and do influence which theories are seriously proposed and considered in scientific communities, which in turn leads to otherwise promising theories being ignored when scientists are choosing between such theories. In the final section, I suggest that this result speaks in favor of taking a quite radical approach to eliminating unwanted biases in science. (shrink)

Can we sustain the idea, once expressed by Henri Poincaré, that science and values only touch but do not interpenetrate? Isn’t such an idea nothing more than an idealization? Is there no link between science and genuine human flourishing?