This special issue of Human Rights Review is devoted to an exploration of the current human rights research agendas within the political science discipline. Research on human rights is truly an interdisciplinary quest in which various epistemologies can contribute to each other and form a larger dialogue concerning rights and wrongs. This special issue is devoted to an expansive understanding of the state of research on human rights in the political science discipline. One common theme throughout these contributions is the (...) need for a more nuanced conceptualization of human rights, tools to promote these rights and as social scientists, methodologies employed to study these rights. A second theme is the policy relevance that can be derived from our empirical analysis. This volume demonstrates that the integration of theoretically and normatively rich concepts, empirical social science, and policy relevance do not have to be mutually exclusive when studying human rights. (shrink)

This article presents a model of the production of human behaviour, grounded in a pragmatist perspective. The model has two components: a small set of considered behaviours, and a set of motivators which I group into four subsets: material, reproductive, and two sets of attributional motivators. The model is based on a minimum principle. A person performs that considered behaviour which comes closest to ideal in light of the person's motivators. I show that both declining marginal utility and satisfying (...) follow as deductions from the model. In addition, especially with the inclusion of attributional motivators, the model accounts for a variety of findings in social science. I also show how it can generate theory and testable empirical predictions. (shrink)

It has been argued that our currently most satisfactory social epistemology of science can’t account for science that is based on artificial intelligence (AI) because this social epistemology requires trust between scientists that can take full responsibility for the research tools they use, and scientists can’t take full responsibility for the AI tools they use since these systems are epistemically opaque. I think this argument overlooks that much AI-based science can be done without opaque models, and (...) that agents can take full responsibility for the systems they use even if these systems are opaque. Requiring that an agent fully understand how a system works is an untenably strong condition for that agent to take full responsibility for the system and risks absolving AI developers from responsibility for their products. AI-based science need not create trust-related social epistemological problems if we keep in mind that what makes both individual scientists and their use of AI systems trustworthy isn’t full transparency of the internal processing but their adherence to social and institutional norms that ensure that scientific claims can be trusted. (shrink)

Algorithms and automated learning systems have been successfully applied to produce images, pieces of music, or texts that are appealing to humans and that are often compared to artworks. Computational technologies are able to find surprising and original solutions–new patterns that humans cannot anticipate– but does this mean we ascribe to them the kind of creativity that is expressed by human artists? Even though AI can successfully detect humans’ preferences as well as select the objects that satisfy taste, can we (...) ascribe to them the capacity of recognizing the intrinsic value of artworks? To answer these questions, I am first going to explain the kind of creativity that is expressed by contemporary predictive systems, then, in the second part of this paper, I will try to show the difference between the creativity of algorithms and the creativity of artists by expanding on Deleuze’s reflections. (shrink)

The analysis of citation flow from a collection of scholarly articles might provide valuable insights into their thematic focus and the genealogy of their main concepts. In this study, we employ a topic model to delineate a subcorpus of 1,360 papers representative of bioethical discussions on enhancing human life. We subsequently conduct an analysis of almost 11,000 references cited in that subcorpus to examine quantitatively, from a bird’s-eye view, the degree of openness of this part of scholarship to the specialized (...) knowledge produced in biosciences. Although almost half of the analyzed references point to journals classified as Natural Science and Engineering (NSE), we do not find strong evidence of the intellectual influence of recent discoveries in biosciences on discussions on human enhancement. We conclude that a large part of the discourse surrounding human enhancement is inflected with “science-fictional habits of mind.” Our findings point to the need for a more science-informed approach in discussions on enhancing human life. (shrink)

The aim of this paper is to trace a pathway connecting contemplative knowledge and practices with the social sciences. Contemplative knowledge and practices offer material for reflection in social science even concerning their very foundation. I'll found an opportunity for meshing our disciplinary tools with this knowledge as I introduced it in a health promotion program. The result will be a transdisciplinary confluence of different lines of inquiry contributing to a new perspective of self and social (...) action. First of all I will give a definition of contemplative knowledge and practices. Then, I will make a bridge between the contemplative approach and the social sciences, showing the contribution that symbolic interactionism can play. I will illustrate the perspective drawing on an action research program called Auriga aimed at smoking cessation and reduction among health professionals. The aim of this paper is focused on the specification of the conceptual background in which such kind of program has been developed. Finally, I outline some implications it could represent for what might be called transformative sociology. I believe that contemplative knowledge could contribute to disentangle some of the unanswered questions and concerns in the social sciences, once they dismiss for a while their scientistic perspective. The secular redefinition of tools mainly belonging to the wisdom traditions represents an innovation that can reshape what we intend by the self and experience, contributing to what is called the “social transformation from within,” a pragmatic and wise approach to change at any level. (shrink)

Resumen: Este artículo sostiene que la regla en el mundo social es el cambio, en todas las escalas de tiempo, sin ciclos ni periodicidades. Por consiguiente, el tema que emerge inmediatamente es la irregularidad del mundo. Si esto es cierto, deben ser posibles unas ciencias sociales irregulares. El mejor antecedente para una idea semejante se encuentra en la comprensión del propio Mandelbrot acerca de los fractales y multifractales. Las ciencias sociales tratan radicalmente, de fenómenos irrepetibles, singulares. Estos han sido (...) llamados como eventos raros. De esta suerte, una nueva epistemología emerge y es posible. Al final se muestra que existen nexos fuertes entre las ciencias sociales con la biología y la ecología. Pero en ese punto, el texto termina abierto.: This paper claims that change is the rule in the social world, in all scales of time, without cycles or periodic dynamics. Hereafter, the topic that immediately arises is the irregularity of the world. If this is true, then irregular social sciences are to be possible. The best antecedent of such an idea is to be found in Mandelbrot’s own understanding of fractals and multifractals. Thus, the social sciences radically deal with phenomena that are in no way repeated, for they are singular. Such events have been called as rare events. In thus tenure, a brand-new epistemology arises and is possible. At the end, some connections between the social sciences and biology and ecology are depicted. That, however, is where this text ends and remains open. (shrink)

Investigations of the function of consciousness in human information processing have focused mainly on two questions: (1) where does consciousness enter into the information processing sequence and (2) how does conscious processing differ from preconscious and unconscious processing. Input analysis is thought to be initially "preconscious," "pre-attentive," fast, involuntary, and automatic. This is followed by "conscious," "focal-attentive" analysis which is relatively slow, voluntary, and flexible. It is thought that simple, familiar stimuli can be identified preconsciously, but conscious processing (...) is needed to identify complex, novel stimuli. Conscious processing has also been thought to be necessary for choice, learning and memory, and the organization of complex, novel responses, particularly those requiring planning, reflection, or creativity. (shrink)

This article explores whether and how research into biological influences on gender identity can and should inform Christian ethical reflection on gender diversity and gender nonconformity. First, the current state of genetic and neuroscientific research on gender identity is surveyed. While the scientific findings are as yet preliminary, tentative, and sometimes contradictory, researchers argue that they already give grounds for thinking that many biological factors have some influence on gender identity through complex interactions with many social and environmental factors. (...) Next, the article offers some general remarks about how natural scientific findings should—and should not—inform Christian theological and ethical reflection. Finally, three specific proposals are developed for how scientific research can and should inform Christian ethical reflection on gender identity. The article offers both a contribution to this Christian ethical reflection and a case study of how the natural sciences may be used in Christian ethics. (shrink)

Sam Harris, in his book The Moral Landscape, argues that "science can determine human values." Against this view, I argue that while secular moral philosophy can certainly help us to determine our values, science must play a subservient role. To the extent that science can what we ought to do, it is only by providing us with empirical information, which can then be slotted into a chain of deductive reasoning. The premises of such reasoning, however, can in no way (...) be derived from the scientific method: they come, instead, from philosophy – and common sense. (shrink)

L'élargissement des pratiques professionnelles d'information dépasse le cadre étroit que beaucoup assignent à la documentation. L'approche informationnelle requiert de convoquer les sciences de gestion et la sociologie du travail. L'auteur s'interroge sur la démarche spécifique des sciences de l'information, en proposant une « approche par le document » et une approche « système d'information ».The information environment and its professional practices enlarge the restricted definition of an information spécialist. The gradual change in multifaceted (...) information sciences needs to be acknowledged as these science may make a significant contribution by way of a “document approach” and and "information system” approach. (shrink)

In this book Mark Bevir and Jason Blakely set out to make the most comprehensive case yet for an 'interpretive' or hermeneutic approach to the social sciences. Interpretive approaches are a major growth area in the social sciences today. This is because they offer a full-blown alternative to the behavioralism, institutionalism, rational choice, and other quasi-scientific approaches that dominate the study of human behavior. In addition to presenting a systematic case for interpretivism and a critique of (...) scientism, Bevir and Blakely also propose their own uniquely 'anti-naturalist 'notion of an interpretive approach. This anti-naturalist framework encompasses the insights of philosophers ranging from Michel Foucault and Hans-Georg Gadamer to Charles Taylor and Ludwig Wittgenstein, while also resolving dilemmas that have plagued rival philosophical defenses of interpretivism. In addition, working social scientists are given detailed discussions of a distinctly interpretive approach to methods and empirical research. The book draws on the latest social science to cover everything from concept formation and empirical inquiry to ethics, democratic theory, and public policy. An anti-naturalist approach to interpretive social science offers nothing short of a sweeping paradigm shift in the study of human beings and society. This book will be of interest to all who seek a humanistic alternative to the scientism that overwhelms the study of human beings today. (shrink)

A response to a declaration in 'Le Monde', 'Luttons efficacement contre les théories du complot' by Gérald Bronner, Véronique Campion-Vincent, Sylvain Delouvée, Sebastian Dieguez, Karen Douglas, Nicolas Gauvrit, Anthony Lantian, and Pascal Wagner-Egger, published on June the 6th, 2016.

Over the past several decades, geneticists have succeeded in identifying the genetic mutations associated with disease. New strategies for treatment, including gene transfer and gene therapy, are under development. Although genetic science has been welcomed for its potential to predict and treat disease, interventions may become ethically objectionable if they threaten to alter characteristics that are distinctively human. Before we can determine whether or not a genetic technique carries this risk, we must clarify what it means to be “human”. This (...) paper inquires how “humanness” has been defined within various academic fields. The views of several legal theoreists, scientists, bioethicists, psychologists, philosophers and anthropologists whose works seem to best reflect how “humanness” is understood in their respective fields of study are considered. Our survey attempts to chart a path for a more detailed study on the meaning of “humanness” in the future. (shrink)

Are the social sciences a dying fire? This book skilfully lays out how, apart from their misguided approach to knowledge production and specializations, social sciences continue to remain prisoners of a prescribed historical, cultural and anthropogenic narrative.

Research Methodology for Social Sciences provides guidelines for designing and conducting evidence-based research in social sciences and interdisciplinary studies using both qualitative and quantitative data. Blending the particularity of different sub-disciplines and interdisciplinary nature of social sciences, this volume: Provides insights on epistemological issues and deliberates on debates over qualitative research methods; Covers different aspects of qualitative research techniques and evidence-based research techniques including survey design, choice of sample, construction of indices, statistical inferences, and (...) data analysis; Discusses concepts, techniques, and tools at different stages of research beginning with design of field surveys to collect raw data and then to analyze the data using statistical and econometric methods; With illustrations, examples and a reader friendly approach, this volume will serve as a key reference material for compulsory research methodology courses at Doctoral levels across different disciplines like Economics, Sociology, Women's Studies, Education, Anthropology, Political Science, International Relations, Philosophy, History, Business Management and the like. This volume will also be indispensable for post-graduate courses dealing with quantitative techniques and data analysis. (shrink)

The chapter discusses two points of intersection between the communication of science-based information about risk and philosophical ethics. The first is a logically unnecessary bias toward consequentialist ethics, and a corresponding tendency to overlook the significance of deontological and virtue based ways to interpret the findings of a scientific risk analysis. The second is a grammatical bias that puts scientific communicators at odds with the expectations of a non-scientific audience.

SummaryThe present paper attemps to demonstrate an analogy between the metascientific, i. e. epistemological, concepts of Niels Bohr and Jean Piaget. To make such a comparison possible a general model of an open circular process of acquiring knowledge is proposed including the following stages: generalization of a successful theory, origin of implicit assumptions, counter‐examples, disclosure of implicit and tacit assumptions ; attempts to eliminate counter‐examples, cul‐de‐sac, emergence of competing theories, explication of fundamental notions, distinction between narrower and broader theories. Parallelly, (...) historical exemplifications on each stage are given. Finally, the argument is advanced that scientific epistemology is only possible at the expense of re‐defining ≫science≪ in such a way that it would cease to be science in its strict classical sense on which the claim to this name has been based so far. (shrink)

Annotation Contains 17 contributions which together aim to speed the process of epistemological reform of undergraduate science teaching in order to align it with the social constructivist reform goals of the science education community. Chapters include impressionistic accounts, studies of recent transformative teaching endeavors, and radical new approaches to learner-sensitive science teaching. Of likely interest to graduate teaching students, science educators, and the educational discourse community. Annotation c. Book News, Inc., Portland, OR (booknews.com).

What credentials does evolutionary epistemology have as science? A judgement based on past performance, both in terms of advancing an empirical programme and further ng theory construction, is not much. This paper briefly outlines some of the research areas, both theoretical and empirical, that can be developed and that might secure for evolutionary epistemology a future in evolutionary biology.

has become an honorific title used by researchers to commend their work, or the particular approach they adopt. Conversely, the work of others is often dismissed on the grounds that it is "uncritical". However, there are important questions about what the term critical means, about what we should be critical of, and about the form that criticism ought to take. These questions are addressed here in relation to both the role of the social researcher itself and that of researchers (...) operating as public intellectuals. It is argued that the distinction between these roles is an important one, and has implications for what can legitimately be criticised, on what grounds, and in what way. In each case, there are proper limits to criticism, albeit different ones. Like anything else, criticism is not always a good thing. Key Words: critical social research • scientific criticism • social criticism • public intellectuals. (shrink)

An essay review of Brad Wray, Kuhn's Evolutionary Social Epistemology (CUP, 2011).

Modern sociology has set itself up as a specialised discipline dissociating itself from the broad-ranging theories of development of the early sociologists and breaking the links with economics, social anthropology and politics which had formed such an exciting unity in their works or at least in their lives.

This commentary tests a methodology proposed by Munk et al. (2022) for using failed predictions in machine learning as a method to identify ambiguous and rich cases for qualitative analysis. Using a dataset describing actions performed by fictional characters interacting with machine vision technologies in 500 artworks, movies, novels and videogames, I trained a simple machine learning algorithm (using the kNN algorithm in R) to predict whether or not an action was active or passive using only information about the (...) fictional characters. Predictable actions were generally unemotional and unambiguous activities where machine vision technologies were treated as simple tools. Unpredictable actions, that is, actions that the algorithm could not correctly predict, were more ambivalent and emotionally loaded, with more complex power relationships between characters and technologies. The results thus support Munk et al.'s theory that failed predictions can be productively used to identify rich cases for qualitative analysis. This test goes beyond simply replicating Munk et al.'s results by demonstrating that the method can be applied to a broader humanities domain, and that it does not require complex neural networks but can also work with a simpler machine learning algorithm. Further research is needed to develop an understanding of what kinds of data the method is useful for and which kinds of machine learning are most generative. To support this, the R code required to produce the results is included so the test can be replicated. The code can also be reused or adapted to test the method on other datasets. (shrink)

Some tradition historical perspectives on Psalm 83 Psalm 83 forms a poetical unit and is the well constructed poem of an artist. It could be divided into two stanzas which contains a cry for help (2), lament (3-9) and several petitions (10-19). This work reflects different tradition historical allusions. The use of prophetic language is immanent, while the faces of the prophets Isaiah, Jeremiah and Ezekiel are elusively present. Two episodes from the history of the Judges (Judges 4-5; 7-8) are (...) utilised to expose its independent function in this psalm. The occurence of a well known Canaanite tradition is further obvious, while the question into the psalm's apocalyptic relationships is negatively assessed. Single motives like the upliftment of the head (3) and the shepherd/flock image (13) fulfil a definite Junction within the psalm’s context. The poet clearly applied historical traditions, motives and images to express an independent function within its context. (shrink)

When scientists come up with some incredible results, what should we believe? This paper discusses the role of probability and statistics in helping determine what science tells us about our knowledge of the world.