Objectivity and Value in Social Science

Many philosophers of science have recently argued that extra-academic participation in scientific knowledge production does not threaten scientific objectivity. Quite the contrary: citizen science, participatory projects, transdisciplinary research, and other similar endeavours can even increase the objectivity of the research conducted. Simultaneously, researchers working in fields where such participation is common have expressed worries about various ways in which it can result in biases. In this paper I clarify how these arguments and worries can be compared, and how extra-academic participation (...) can both increase and threaten the objectivity of the research conducted. (shrink)

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)

Consideration of the moral and ethical consequences of competing scientific and social theories often proceeds on the assumption that such discourses are or ought to be rational. The concept of incommensurability, however, threatens this assumption. Literature on the Incommensurability thesis consists mostly in explanation of the concept itself and the degree of damage it portends for the rationality of science. Most often this work is done via historical case studies. Exemplary is Thomas Kuhn’s The Copernican Revolution. Historical studies do sometimes (...) provide us with great insights, but their worth is limited by the backward-looking nature of anecdotes and single case investigations. The current work looks toward new and prospective methods of investigation. Through the lens of a novel and experimental approach to incommensurability the author asks, “What are the prospects for an inter-theoretic language in the social sciences?” In particular, there is a focus on the contentious claim by some that it is perfectly fine and even beneficial to have social, business or intimate relations with clients. (shrink)

"Assim, este é o objetivo deste texto: mostrar como a literatura recente em torno de valores nas ciências pode nos ajudar a compreender melhor algumas das discussões em torno da mensuração da pobreza que foram suscitadas pelo trabalho de Peter Townsend. Apresentaremos primeiro o ideal da ausência de valor (seção 2), o que Townsend entendia por medidas objetivas e subjetivas (seção 3) e então poderemos compreender melhor o que é e quem não concorda com a posição de que a pobreza (...) é um juízo de valor (seção 4). Terminamos com as maneiras pelas quais é possível rejeitar essa posição (seção 5).". (shrink)

The development of the science of poverty has largely been driven by the need to define more precisely what poverty is, as well as to provide theoretical and empirical criteria for identifying those who suffer from it. This thesis focuses on a notable response to these and related questions: the conception and measure of poverty by the British sociologist Peter Townsend. Townsend defines poverty as relative deprivation caused by lack of resources. This conception, along with his corresponding cut-off measure, constitutes (...) some of the key components of his theory of poverty. The theory discusses what poverty is, its causes, and how it can be eradicated, and is detailed in Poverty in the United Kingdom: A Survey of Household Resources and Standards of Living (1979), his magnum opus. The primary aim of this thesis is to interpret the theory from Townsend’s adherence to the value-free ideal. He pursued this ideal in response to what he perceived as the pervasive and deleterious influence of moral and political values on measures, theories, and policies on poverty throughout its scientific and political history. I argue that to be free from such influence, Townsend aimed to be as guided by epistemic values as possible, which resulted in a systematic theory of poverty. -/- The thesis is structured as follows: In Chapter 1, I situate Townsend’s conception and measurement of poverty within the context of both the recent history of scientific poverty lines and the most important approaches to measuring the phenomenon. Chapter 2 discusses the systematic nature of the theory, including its role as a middle-range theory that bridges broad-range theories with empirical data. This connection is achieved through several elements: a conception of poverty; hypotheses and anthropological observations related to the elements of the conception; measures to test these hypotheses; an explanation of poverty; and reports on how the research was conducted. Furthermore, Townsend’s theory aligns with Bradburn et al.’s (2017) measurement theory, which asserts that a good measure must include a conception of the relevant phenomenon, a representation, and procedures to gather data. Additionally, all three components must be supported by arguments showing that they fit together properly. -/- In the remaining chapters, I present and discuss the main elements of the theory: his conception of poverty as relative deprivation caused by lack of resources, along with the related hypotheses and observations (Chapter 3); the representations of this conception and the procedures for data collection, processing, as well as ensuring their reliability (Chapter 4); and the explanation of poverty (Chapter 5). I conclude by presenting what Townsend considered the “policy prescriptions” of his theory. Despite its potential shortcomings, I also argue that Townsend’s theory fulfills an important epistemic value: fruitfulness. (shrink)

Museums lose their conceptual complexity and polysemy under conditions of war, forced confrontation, and struggles for survival, which may lead to a loss of diversity in the long run. Parametric General Systems analysis allows us to consider a museum as a system and to explore substratum, structural, and conceptual types of simplicity and complexity. Such qualitative analysis makes it possible to move the discussion from the ideological and value sphere to the field of rational and science-based justification. This justification, in (...) turn, illustrates why it is important to maintain complex interpretations in Ukrainian museums during the current war. (shrink)

There remains no consensus among social scientists as to how to measure and understand forms of information deprivation such as misinformation. Machine learning and statistical analyses of information deprivation typically contain problematic operationalizations which are too often biased towards epistemic elites' conceptions that can undermine their empirical adequacy. A mature science of information deprivation should include considerable citizen involvement that is sensitive to the value-ladenness of information quality and that doing so may improve the predictive and explanatory power of extant (...) models. (shrink)

“God created, Linnaeus organized.” This remark Linnaeus liked to say captures the common idea that the proper task of scientists in classification is to discover and systematize features of the world without being committed to individual perspectives, values, and interests. However, it is rarely the case that scientists passively read nature or carve nature at its joints. My thesis investigates how scientific classification is laden with values and explores its implication. I hope to temper the influence of the ideal of (...) value-free science on the discussion of natural kinds. Contrary to the blossoming scholarship in the values and science literature, there has been little discussion about the role of values in scientific classification. Defined as groupings that correspond to real divisions in nature, natural kinds are considered to exist independently from human values and interests. I demonstrate how the assumptions behind scientific classification endorse the idea of value-free science. Using case studies, I argue that incorporating social, moral, and political values can lead to the epistemic improvement of the category. If values are ineliminable from science, then the question arises, what or whose values, in what ways, can legitimately influence science? I critically examine recently developed criteria for proper uses of values in science. I advocate evaluating values in terms of epistemic benefits. The task of assessing epistemic benefits requires scrutinizing a research program’s social and historical context. Finally, the last part of this dissertation explores how values uniquely influence natural kind terms via social entrenchment. Many philosophers identify projectibility as a defining feature of natural kinds. I look at whether social and cultural practices influence projectibility. I investigate whether these practices affect which kind terms get socially entrenched. I argue that the projectibility of natural kind terms substantially depends on our norms and values. (shrink)

Objectivity in the sciences is a much-touted yet problematic concept. It is sometimes held up as characterising scientific knowledge, yet operational definitions are diverse and call for such paradoxical genius as the ability to see without a perspective, to predict repeatability, to elicit nature’s own self-revelation, or to discern the structure of reality with inerrancy. Here we propose a positive and general definition of objectivity based on work in the Reformational philosophy tradition. We recognise a suite of relation-frames–ways in which (...) things function and relate to each other, which can be analytically distinguished in the process of conceptual abstraction. These relation-frames also ground the diverse aspects of scientific analysis within which relationships and properties may be abstracted from entities and systems. We argue that objectivity can be understood as characteristic of representations that attempt to portray a subject in an earlier relation-frame than that in which it characteristically functions. In short, objectivity is projection. This proposal is exemplified from mathematics and the natural sciences and some possible objections to it are considered, as well as its extension to the social sciences. (shrink)

Human-sciences research often focuses on social problems to create tools for solving them. Yet, in using common prejudices in gathering and sorting data on their subjects, they risk propagating those same prejudices. This article proposes that a major subject matter of human sciences is human concepts themselves. Concepts about “what we are,” individually and as a species, are deeply embedded, if not essential. It concludes that for greater precision, practitioners in human sciences must take maximum advantage of this characteristic of (...) the subject, making individuals’ concepts about what they consider themselves to be integral criteria of data gathering and sorting. (shrink)

In this article, I offer a methodological analysis of the empirical research on the causal effects of trade liberalisation, and assess whether such studies can be of any use for guiding policy prescriptions in real-world economies. The analysis focuses on the mainstream economic research that has been used to support arguments in favour of trade liberalisation during the last decades. Even though there are empirical results that could be taken as valid evidence for a causal connection between free trade and (...) economic gains, none of the existing evidence licences trustworthy inferences about the policy effectiveness of trade liberalisation reforms in real-world cases. There are three aspects of the empirical literature that make it highly problematic for making reliable policy inferences: (a) the criteria used to define the notion of ‘free trade’, (b) the background assumptions embedded in the econometric techniques used for estimating causal effects, and (c) the widespread desire among academic economists to attain scientific results in terms of universally valid generalisations. The analysis exposes a worrisome mismatch between, on the one hand, the research aims and outcomes of scientific economics and, on the other, the kind of evidence that would be useful for guiding actual policy deliberations. (shrink)

It used to be that the touchstone of objectivity was the elimination of subjective features, like our values, biases, assumptions, and so on. Part of what motivates this narrow conception of objectivity is the thought that objective reality is the way that it is regardless of our relationship to it, and that our ability to accurately describe or depict this reality is distorted by this relationship. But what if that understanding is wrong, and removing these features takes us farther away (...) from truth and knowledge, rather than closer to them? This is the claim I advance. In this article, I trace this narrow conception to its political origins, and advance a broader understanding of objectivity that reimagines a new use for, rather than ignoring entirely, features that are thought to be subjective. (shrink)

This article presents a long overdue analysis of the idea of an ethically committed social science, which, after the demise of positivism and the deeming of moral neutrality as impossible, has come to dominate the self-understanding of many contemporary sociological approaches. Once adequately specified, however, the idea is shown to be ethically questionable in that it works against the moral commitments constitutive of academic life. The argument is conducted with resources from the work of Peter Winch, thus establishing its continuing (...) relevance and critical importance for the social sciences, sociology in particular. Special reference is made to heretofore unappreciated aspects of Winch’s work, including within the groundbreaking The Idea of a Social Science and Its Relation to Philosophy, but focusing specifically on his later contributions to ethics. (shrink)

In the recent well-being literature, various theory-free accounts of well-being have been proposed to ground informative evaluations of policies’ welfare implications without relying on any specifi...

I argue that academic psychology’s quest to achieve scientific respectability by reliance on quantification and objectification is deeply flawed. Specifically, psychological theory typically cannot support prognostication beyond the binary opposition of “effect present/effect absent”. Accordingly, the “numbers” assigned to experimental results amount to little more than affixing names (e.g., more than, less than) to the members of an ordered sequence of outcomes. This, in conjunction with the conceptual under-specification characterizing the targets of experimental inquiry, is, I contend, a primary reason (...) why psychologists find it difficult to discriminate between competing, explanations of the effects of mind on behavior. Absent well-specified theory capable of enabling precise and detailed quantitative prediction, inferring underlying mental mechanisms from experimental outcomes becomes a difficult, if not impossible, task. (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)

According to the Value-Neutrality Thesis, technology is morally and politically neutral, neither good nor bad. A knife may be put to bad use to murder an innocent person or to good use to peel an apple for a starving person, but the knife itself is a mere instrument, not a proper subject for moral or political evaluation. While contemporary philosophers of technology widely reject the VNT, it remains unclear whether claims about values in technology are just a figure of speech (...) or nontrivial empirical claims with genuine factual content and real-world implications. This paper provides the missing argument. I argue that by virtue of their material properties, technological artifacts are part of the normative order rather than external to it. I illustrate how values can be empirically identified in technology. The reason why value-talk is not trivial or metaphorical is that due to the endurance and longevity of technological artifacts, values embedded in them have long-term implications that surpass their designers and builders. I further argue that taking sides in this debate has real-world implications in the form of moral constraints on the development of technology. (shrink)

This paper investigates how unsupervised machine learning methods might make hermeneutic interpretive text analysis more objective in the social sciences. Through a close examination of the uses of topic modeling—a popular unsupervised approach in the social sciences—it argues that the primary way in which unsupervised learning supports interpretation is by allowing interpreters to discover unanticipated information in larger and more diverse corpora and by improving the transparency of the interpretive process. This view highlights that unsupervised modeling does not eliminate the (...) researchers’ judgments from the process of producing evidence for social scientific theories. The paper shows this by distinguishing between two prevalent attitudes toward topic modeling, i.e., topic realism and topic instrumentalism. Under neither can modeling provide social scientific evidence without the researchers’ interpretive engagement with the original text materials. Thus the unsupervised text analysis cannot improve the objectivity of interpretation by alleviating the problem of underdetermination in interpretive debate. The paper argues that the sense in which unsupervised methods can improve objectivity is by providing researchers with the resources to justify to others that their interpretations are correct. This kind of objectivity seeks to reduce suspicions in collective debate that interpretations are the products of arbitrary processes influenced by the researchers’ idiosyncratic decisions or starting points. The paper discusses this view in relation to alternative approaches to formalizing interpretation and identifies several limitations on what unsupervised learning can be expected to achieve in terms of supporting interpretive work. (shrink)

Can young children such as 3-year-olds represent the world objectively? Some prominent developmental psychologists—such as Perner and Tomasello—assume so. I argue that this view is susceptible to a prima facie powerful objection: To represent objectively, one must be able to represent not only features of the entities represented but also features of objectification itself, which 3-year-olds cannot do yet. Drawing on Burge's work on perceptual constancy, I provide a response to this objection and motivate a distinction between three different kinds (...) of objectivity. This distinction helps advance current research on both objectivity and teleological action explanations in young children. (shrink)

There are presently two approaches to the study of well-being. Philosophers typically focus on normative theorizing, attempting to identify the things that are ultimately good for a person, while largely ignoring empirical research. The idea is that empirical attention cannot be directed to the right place without a rigorous theory. Meanwhile, social scientists typically focus on empirical research, attempting to identify the causes and consequences of well-being, while largely ignoring normative theorizing. The idea is that conceptual and theoretical clarity will (...) come with time and more data. This paper argues that neither is a good approach to the study of well-being. The traditional philosophical approach underappreciates the vital importance of empirical investigation, while the atheoretical empirical approach underappreciates the vital importance of normative theorizing. The proposed solution is to bring these methods together. Well-being research should be interdisciplinary. The paper proposes a “conceptual engineering” approach as a novel alternative. This approach involves an iterative process of normative theorizing, empirical investigation, and conceptual revision, with the aim of articulating concepts and theories of well-being that optimally suit particular interests and purposes. (shrink)

Ce livre est un livre d’épistémologie de la sociologie. L’objectif est d’appliquer des méthodes analytiques pour clarifier le vocabulaire, expliciter des relations non-apparentes entre concepts, dégager la portée d’une méthode, ou souligner les incohérences d’un programme de recherche. Les questions épineuses ne sont pas écartéees: Comment clarifier des notions confuses? Peut-on mathématiser les concepts sociologiques? Peut-on pratiquer la sociologie comme on pratique les sciences naturelles? Quelle est la place du déterminisme? Chaque question est examinée à la fois dans sa structure (...) logique et sur des cas concrets. La mathématisation est étudiée sur les mécanismes agrégatifs et sur les modèles de diffusion des innovations. La sociologie expérimentale – généralement méconnue dans la sociologie française – est étudiée sur des programmes de relogement, la diffusion de l’information, ou la genèse de la solidarité sociale. Le livre aborde frontalement la question du déterminisme, du naturalisme, du matérialisme et du scientisme, réputés intenables en sociologie. L’enquête montre que leur rejet résulte généralement de confusions conceptuelles. Une fois écartées, peu d’obstacles s’opposent à leur emploi en sociologie. L’objet de ce livre est la sociologie fondamentale: ensemble des mécanismes qui structurent la production des connaissances sociologiques de base à partir de concepts, programmes ou principes, c’est-à-dire tout ce qui ne relève pas de l’expérience immédiate du terrain et des mondes sociaux. (shrink)

Building on Nozick's invariantism about objectivity, I propose to define scientific objectivity in terms of counterfactual independence. I will argue that such a counterfactual independence account is (a) able to overcome the decisive shortcomings of Nozick's original invariantism and (b) applicable to three paradigmatic kinds of scientific objectivity (that is, objectivity as replication, objectivity as robustness, and objectivity as Mertonian universalism).

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)

Bilime ve onun bilgisine akademik, politik, ekonomik ve kamusal alanlar olmak üzere birçok alanda diğer bilgi iddialarına kıyasla daha fazla güven duyulmaktadır. Bilime duyulan bu güvenin temelinde büyük ölçüde bilimsel süreçlerin ve yöntemlerin nesnel bir şekilde yürütülmesi ve bu nesnel sürecin bir ürünü olarak bilimsel bilginin tarafsız bilim insanları tarafından ortaya konulduğu düşüncesi yatmaktadır. Bu bakımdan toplum tarafından bilimin tartışılmaz statüsünün ve bilimsel bilgiye verilen değerin belirleyicisi olarak nesnellik özelliği ön plana çıkmaktadır. Bilhassa doğa bilimleri söz konusu olduğunda bilimsel yöntemin (...) olgulara ve dış dünyaya ilişkin nesnel bilgiler sağladığı düşünülmektedir. Bu bakımdan doğa bilimleri, bilimde nesnelliğin paradigmatik örnekleri olarak kabul görmektedir. Beşeri ve sosyal bilimler alanında ise doğa bilimlerine kıyasla nesnellik algısı düşük olmasına rağmen, yöntemlerinin bilimsel yöntemle çalışılmaya uygun olmasından dolayı en azından ilke olarak nesnel olduğu değerlendirilmektedir. Bilimin değerler alanından ziyade olgu alanına ilişkin çalışmalar yürütmesi, bilim insanlarının değerler, anlamlar ve ideallerinden de kendisini izole ederek bilimsel nesnelliği temin edilebileceği konusunda genel bir kavrayışa yol açmaktadır. Bu görüşün önde gelen düşünürü Karl Popper’dır. Popper bilimsel nesnelliğin, olgusal içerikli önermelerin – protokol önermeleri – öznelerarası sınanabilir olması ile temin edilebileceğini ve böylece bilim insanlarının çalışmalarında kültür, değer ve inanç gibi öznel kanılarının bilimsel bilginin temellendirilmesi ve sınanması noktasında kullanılamayacağını ifade etmiştir. Ancak bilimin doğasına yönelik bir soruşturma bilimsel bilginin düşünüldüğü kadar nesnel bir sürece sahip olmadığını, bilim faaliyetini gerçekleştiren bilim insanlarının kişisel çıkarlarının, değerlerinin ve içinde yaşamış oldukları kültürel faktörlerin bilimsel bilginin elde edilmesi sürecinde etkili olabileceğini ortaya koymaktadır. Bu bakımdan bilimin doğasını doğru bir şekilde anlayabilmenin yolu bilimlerde nesnellik ölçütünün sosyolojik ve kültürel unsurlarla yakından ilişkili olduğunu bilmekten geçmektedir. Thomas Kuhn bilimsel değerlendirmelerde değer yargılarının ve kültürel unsurların kaçınılmaz olduğu düşüncesindedir. Kuhn, Popper’ın aksine sosyolojik etmen ve değerleri de işin içerisine katarak bir bilimsel nesnellik değerlendirmesi yapmaktadır. Bu doğrultuda, o bilimde fazlasıyla öznel unsurları vurguladığı eleştirilerine imkân vermeyecek şekilde bilim insanlarının takip etmesi gereken ve tavsiye niteliğinde olan belirli değerler neticesinde bilimsel nesnelliğin ve rasyonalitenin sağlanabileceğini ifade etmektedir. Bu kapsamda çalışmada, bilimin en bilinen özelliği olarak göze çarpan nesnellik kavramı ve düşüncesine yönelik kavramsal bir belirlemenin ardından kültür ve değer gibi sosyolojik unsurların bilimsel objektifliğin ayrılmaz bir parçası olduğu argümanı, Popper ve Kuhn’un çalışmaları göz önünde bulundurularak serimlenecektir. (shrink)

The boundaries of social categories are frequently altered to serve normative projects, such as social reform. Griffiths and Khalidi argue that the value-driven modification of categories diminishes the epistemic value of social categories. I argue that concerns over value-modified categories stem from problematic assumptions of the value-free ideal of science. Contrary to those concerns, non-epistemic value considerations can contribute to the epistemic improvement of a scientific category. For example, the early history of the category infantile autism shows how non-epistemic value (...) considerations can contribute to delimiting and establishing infantile autism as a distinct category in mainstream psychiatry. In the case of infantile autism, non-epistemic considerations have led to a new interpretation of existing data, the expansion of research to include biology, and the creation of diagnostic criteria that further contribute to collecting relevant data. Given this case study, it can be argued that non-epistemic values can improve our knowledge of scientific categories. (shrink)

. Given the importance of the issue of scientific objectivity in our democratic societies and the significant development of citizen science, it is crucial to investigate how citizen science may either undermine or foster scientific objectivity. This paper identifies a variety of epistemic risks and benefits that participation of lay citizens in scientific inquiries may bring. It also discusses concrete actions and pending issues that should be addressed in order to foster objectivity in citizen science programs.

This book reports on cutting edge research concerning social practices. Merging perspectives from various disciplines, it discusses theoretical aspects of social behavior along with models to investigate them, and also presents key case studies. Further, it describes concepts related to habits, routines and rituals and examines important features of human action such as intentionality and choice, exploring the influence of specific social practices in different situations.

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)

Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...) associated with experimental design, including controlled variation and randomization, this chapter will provide a summary of key ethical issues that tend to arise in experimental contexts. In addition, by exploring assumptions about the nature of causation and by analyzing features of causal relationships, systems, and inferences in social contexts, this chapter will summarize the ways in which experimental design can undermine the integrity of not only social and behavioral research but policies implemented on the basis of such research. (shrink)

Evaluative claims and assumptions are ubiquitous in positive psychology. Some will deny this. But such disavowals are belied by the literature. Some will consider the presence of evaluative claims a problem and hope to root them out. But this is a mistake. If positive psychology is to live up to its raison d’être – to be the scientific study of the psychological components of human flourishing or well-being – it must make evaluative claims. Well-being consists in those things that are (...) good for us, that make life go well. Thus, one cannot investigate this topic without making claims about what is good for people and what they have reason to do. It’s time, therefore, to embrace the fact that positive psychology is value-laden. Doing so would benefit the field by allowing for more rigorous theorizing, and – perhaps counterintuitively – increasing the field’s objectivity. (shrink)

Retractions play an important role in research communication by highlighting and explaining how research projects have failed and thereby preventing these mistakes from being repeated. However, the process of retraction and the data it produces is often sparse or incomplete. Drawing on evidence from 2046 retraction records, Quan-Hoang Vuong discusses the emerging trends this data highlights and argues for the need to enforce reporting standards for retractions, as a means of de-stigmatising retraction and rewarding practising integrity in the scholarly record.

Appeals to intersectionality serve to remind us that social categories like race and gender cannot be adequately understood independently from each other. But what, exactly, is the intersectional thesis a thesis about? Answers to this question are remarkably diverse. Intersectionality is variously understood as a claim about the nature of social kinds, oppression, or experience ; about the limits of antidiscrimination law or identity politics ; or about the importance of fuzzy sets, multifactor analysis, or causal modeling in social science.

Pragmatic encroachment theories of knowledge may be characterized as views according to which practical factors may partly determine the truth-value of ascriptions that S knows that p – even though these factors do not partly determine S’s belief that p or p itself. The pros and cons of variations of pragmatic encroachment are widely discussed in epistemology. But despite a long pragmatist tradition in the philosophy of science, few efforts have been devoted to relate this particular view to issues in (...) philosophy of science. Consequently, a central aim of the present paper is to consider how the contemporary debates over pragmatic encroachment connect to philosophy of science. More specifically, I will set forth some arguments against the idea of pragmatic encroachment on scientific knowledge. Moreover, I will argue that it is not plausible to respond to these arguments by embedding pragmatic encroachment in the anti-realist framework of constructive empiricism. So, I conclude that there are good reasons to reject pragmatic encroachment theories of scientific knowledge. (shrink)

John Dewey attempted a pragmatic aufhebung of the disparate methodological aims of social science-explanation, understanding, and critique- in his 1938 Logic: the theory of Inquiry. There, in his penultimate chapter ‘Social Inquiry’, Dewey performed a trademark implementation of his deflation of absolutistic and universalistic pretensions in intellectual and theoretical discourse, in this case with respect to any one approach to social science. This deflation--as elsewhere in his analogous treatments of epistemology, ethics, and the theory of action-- involved the reconstruction of (...) the claims of the naturalist, interpretivist, and critical schools of social science into one overall pattern of social inquiry. This recasts the different and seemingly irreconcilable aims of these schools into a series of steps in a practice. That these claims, then, simultaneously stand independently but in varying degrees of tension with, and support of, each other is a hallmark of pragmatism’s embrace of pluralism in intelligent problem solving. Dewey’s discussion of interpretation needs supplementation from his broader philosophical commitments in order to see the full sense of both the compatibility and the incompatibility of his theory with philosophical hermeneutics. (shrink)

The existential insecurity of human beings has induced them to create protective spheres of symbols: myths, religions, values, belief systems, theories, etc. Rationality is one of the key factors contributing to the construction of civilisation in technical and symbolic terms. As Hankiss (2001) has emphasised, protective spheres of symbols may collapse – thus causing a profound social crisis. Social and political transformations had a tremendous impact at the end of the 20th century. As a result, management theories have been revised (...) in order to deal with transition and uncertainty. Francis Fukuyama's (2000) approach is supportive of hierarchical organisation as the best solution when facing a 'disruption'. The notion of Homo Hierarchicus has been based on, allegedly, rational presumptions. This paper contributes to the discussion on hierarchy within contemporary organisations. It criticises so-called 'natural' and 'rational' necessities justifying hierarchy. A key issue identified by the paper is the formalisation of language in claiming value-free knowledge and 'detached' observation as the basis for neutral rationality and aspired efficiency. This should be seriously reconsidered as hindering rather than aiding understanding of social complexity. All in all, Homo Hierarchicus appears to be misleading rather than helping symbolic sphere or construct. (shrink)

Acceding to the demand that public policy should be based on “the best available evidence” can come at significant moral cost. Important policy questions cannot be addressed using “the best available evidence” as defined by the evidence-based policy paradigm; the paradigm can change the meaning of questions so that they can be addressed using the preferred kind of evidence; and important evidence that does not meet the standard defined by the paradigm can get ignored. We illustrate these problems in three (...) contexts of evidence-based policy. (shrink)

How should we theorize about the social world? How can we integrate theories, models and approaches from seemingly incompatible disciplines? Does theory affect social reality? This state-of-the-art collection addresses contemporary methodological questions and interdisciplinary developments in the philosophy of social science. Facilitating a mutually enriching dialogue, chapters by leading social scientists are followed by critical evaluations from philosophers of social science. This exchange showcases recent major theoretical and methodological breakthroughs and challenges in the social sciences, as well as fruitful ways (...) in which the analytic tools developed in philosophy of science can be applied to understand these advancements. The volume covers a diverse range of principles, methods, innovations and applications, including scientific and methodological pluralism, performativity of theories, causal inferences and applications of social science to policy and business. Taking a practice-orientated and interactive approach, it offers a new philosophy of social science grounded in and relevant to the emerging social science practice. (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)

Proporciono un estudio crítico de algunos de los principales hallazgos de Wittgenstein y Searle sobre la estructura lógica de la intencionalidad (mente, lenguaje, comportamiento), tomando como punto de partida el descubrimiento fundamental de Wittgenstein, que todos los problemas verdaderamente ' filosóficos ' son los mismos — confusiones sobre cómo usar el lenguaje en un contexto particular, y por lo que todas las soluciones son las mismas — observando cómo se puede utilizar el lenguaje en el contexto en cuestión para que (...) sus condiciones de verdad (condiciones de satisfacción o COS) sean claras. El problema básico es que uno puede decir cualquier cosa menos que uno no puede significar (el estado claro COS para) cualquier enunciado arbitrario y significado es solamente posible en un contexto muy específico. Empiezo con ' On Certainty ' (‘En Certeza’) y continúo el análisis de los escritos recientes por y sobre ellos desde la perspectiva de los dos sistemas de pensamiento, empleando un nuevo cuadro de intencionalidad y nueva nomenclatura de sistemas duales. Aquellos que deseen un marco completo hasta la fecha para el comportamiento humano de la moderna dos sistemas punta de vista puede consultar mi libro 'La estructura lógica de la filosofía, la psicología, la mente y lenguaje En Ludwig Wittgenstein y John Searle ' 2nd ED (2019). Los interesados en más de mis escritos pueden ver 'Monos parlantes--filosofía, psicología, ciencia, religión y política en un planeta condenado--artículos y reseñas 2006-2019 3rd ED (2019) y delirios utópicos suicidas en el 21St Century 4TH Ed (2019) y otras. (shrink)

In the biomedical context, policy makers face a large amount of potentially discordant evidence from different sources. This prompts the question of how this evidence should be aggregated in the interests of best-informed policy recommendations. The starting point of our discussion is Hunter and Williams’ recent work on an automated aggregation method for medical evidence. Our negative claim is that it is far from clear what the relevant criteria for evaluating an evidence aggregator of this sort are. What is the (...) appropriate balance between explicitly coded algorithms and implicit reasoning involved, for instance, in the packaging of input evidence? In short: What is the optimal degree of ‘automation’? On the positive side: We propose the ability to perform an adequate robustness analysis as the focal criterion, primarily because it directs efforts to what is most important, namely, the structure of the algorithm and the appropriate extent of automation. Moreover, where there are resource constraints on the aggregation process, one must also consider what balance between volume of evidence and accuracy in the treatment of individual evidence best facilitates inference. There is no prerogative to aggregate the total evidence available if this would in fact reduce overall accuracy. (shrink)

Well–being, health and freedom are some of the many phenomena of interest to science whose definitions rely on a normative standard. Empirical generalizations about them thus present a special case of value-ladenness. I propose the notion of a ‘mixed claim’ to denote such generalizations. Against the prevailing wisdom, I argue that we should not seek to eliminate them from science. Rather, we need to develop principles for their legitimate use. Philosophers of science have already reconciled values with objectivity in several (...) ways, but none of the existing proposals are suitable for mixed claims. Using the example of the science of well-being, I articulate a conception of objectivity for this science and for mixed claims in general. _1_ Introduction _2_ What Are Mixed Claims? _3_ Mixed Claims Are Different _3.1_ Values as reasons to pursue science _3.2_ Values as agenda-setters _3.3_ Values as ethical constraints on research protocols _3.4_ Values as arbiters between underdetermined theories _3.5_ Values as determinants of standards of confirmation _3.6_ Values as sources of wishful thinking and fraud _4_ Mixed Claims Should Stay _4.1_ Against Nagel _5_ The Dangers of Mixed Claims _6_ The Existing Accounts of Objectivity _6.1_ The perils of impartiality _7_ Objectivity for Mixed Claims _8_ Three Rules _8.1_ Unearth the value presuppositions in methods and measures _8.2_ Check if value presuppositions are invariant to disagreements _8.3_ Consult the relevant parties _9_ Conclusion. (shrink)

The underrepresentation of women, people of color, and especially women of color—and the corresponding overrepresentation of white men—is more pronounced in philosophy than in many of the sciences. I suggest that part of the explanation for this lies in the role played by the idealized rational self, a concept that is relatively influential in philosophy but rarely employed in the sciences. The idealized rational self models the mind as consistent, unified, rationally transcendent, and introspectively transparent. I hypothesize that acceptance of (...) the idealized rational self leads philosophers to underestimate the influence of implicit bias on their own judgments and prevents them from enacting the reforms necessary to minimize the effects of implicit bias on institutional decision-making procedures. I consider recent experiments in social psychology that suggest that an increased sense of one’s own objectivity leads to greater reliance on bias in hiring scenarios, and I hypothesize how these results might be applied to philosophers’ evaluative judgments. I discuss ways that the idealized rational self is susceptible to broader critiques of ideal theory, and I consider some of the ways that the picture functions as a tool of active ignorance and color-evasive racism. (shrink)

Un biologiste fait une découverte incompatible avec des conceptions religieuses de la vie bonne. En classe, un professeur d'université profite de son exposé magistral pour faire la promotion d'une idéologie politique. Un fonds de recherche des sciences sociales refuse de financer un projet visant à résoudre le problème de la sous-représentation des femmes en politique, affirmant qu'une telle recherche n'est pas scientifique. Tous ces exemples témoignent de l'interaction constante entre, d'une part, l'enseignement et la recherche scientifique, et d'autre part, les (...) enjeux normatifs au sein de sphères d'influence. Les sciences doivent-elles être neutres? La normativité des sciences est-elle inévitable? Et de quoi parle-t-on lorsque nous faisons référence à la neutralité scientifique? Cette entrée exposera les principales réponses à ces trois questions. Après avoir clarifié le cadre conceptuel et la problématique de cette entrée, nous explorerons les approches wébérienne et positiviste en faveur de la neutralité des sciences. Ces deux perspectives seront confrontées à divers objections, notamment celles du pragmatisme américain. En réponse à l’ethos mertonien des sciences, nous présenterons finalement la critique féministe selon laquelle les disciplines scientifiques ne peuvent pas faire l’économie d’objectifs éthiques, politiques ou sociaux. Pour des raisons de simplicité, cette entrée approfondira surtout des modèles et arguments issus de l’économie, de la biologie et des sciences de la santé, des disciplines ayant été au cœur des controverses entourant la neutralité des sciences. (shrink)

Pourquoi accorder un rôle essentiel à la délibération publique dans le choix des normes éthiques et politiques guidant les sciences? À partir d’un débat récent en économie du bien-être, cet article soutient que l’introduction de normes éthiques et politiques en sciences doit respecter le principe de neutralité procédurale, et qu’une délibération publique bien encadrée respecte ce principe. Je présenterai deux raisons de croire que les sciences doivent respecter la neutralité procédurale. Le premier argument est lié au rôle que devrait jouer (...) l’examen libre et critique dans le développement des sciences. Le second argument repose sur l’idée que les sciences devraient être sensibles aux procédures présentant le meilleur potentiel épistémique. Pour ces deux raisons, si elle prend position en faveur d’idéaux normatifs, l’économie du bien-être devrait se tourner vers une approche délibérative, rationnelle et impartiale pour y parvenir. (shrink)

The role of scientists as experts is crucial to public policymaking. However, the expert role is contested and unsettled in both public and scholarly discourse. In this paper, I provide a systematic account of the role of scientists as experts in policymaking by examining whether there are any normatively relevant differences between this role and the role of scientists as researchers. Two different interpretations can be given of how the two roles relate to each other. The separability view states that (...) there is a normatively relevant difference between the two roles, whereas the inseparability view denies that there is such a difference. Based on a systematic analysis of the central aspects of the role of scientists as experts – that is, its aim, context, mode of output, and standards, I propose a moderate version of the separability view. Whereas the aim of scientific research is typically to produce new knowledge through the use of scientific method for evaluation and dissemination in internal settings, the aim of the expert is to provide policymakers and the public with relevant and applicable knowledge that can premise political reasoning and deliberation. (shrink)

TS Vương Quân Hoàng (Đại học Thành Tây, Hà Nội và ULB, Bỉ) đề xuất trên Scientific Data Updates việc kết hợp bộ ba yếu tố dữ liệu mở, phản biện mở và đối thoại cộng đồng mở như một giải pháp đáp ứng đòi hỏi của xã hội đối với độ tin cậy của các kết quả nghiên cứu.