Like the latter, it unites into one and the same function the possibility of giving things a sign, of representing one thing by another, and the possibility of causing a sign to shift in relation to what it designates. The four functions that define the ...

The configurational dimension, in turn, displays temporal features that may be opposed to these "features" of episodic time. The configurational arrangement makes the succession of events into significant wholes that are the correlate of the act of grouping together. Thanks to this reflective act—in the sense of Kant's Critique of Judgment—the whole plot may be translated into one "thought." "Thought," in this narrative context, may assume various meanings. It may characterize, for instance, following Aristotle's Poetics, the "theme" that accompanies the (...) "fable" or "plot" of a tragedy.1 "Thought" may also designate the "point" of the Hebraic maschal or of the biblical parable, concerning which Jeremias observes that the point of the parable is what allows us to translate it into a proverb or an aphorism. The term "thought" may also apply to the "colligatory terms" used in history writing, such terms as "the Renaissance," "the Industrial Revolution," and so on, which, according to Walsh and Dray, allow us to apprehend a set of historical events under a common denominator. In a word, the correlation between thought and plot supersedes the "then" and "and then" of mere succession. But it would be a complete mistake to consider "thought" as a-chronological. "Fable" and "theme" are as closely tied together as episode and configuration. The time of fable-and theme, if we may make of this a hyphenated expression, is more deeply temporal than the time of merely episodic narratives. · 1. It may be noted in passing that this correlation between "theme" and "plot" is also the basis of Northup Frye's "archetypal" criticism. Paul Ricoeur is professor of philosophy at the Université de Paris and John Nuveen Professor at the University of Chicago. Some of his works to appear in English are Husserl: An Analysis of His Phenomenology, Main Trends in Philosophy, and The Conflict of Interpretations: Essays on Hermeneutics. His previous contribution to Critical Inquiry, "The Metaphorical Process as Cognition, Imagination, and Feeling," appeared in the Autumn 1978 issue. (shrink)

Social network analysis (SNA) is an increasingly popular approach that provides researchers with highly developed tools to map and analyze complexes of social relations. Although a number of network scholars have explicated the assumptions that underpin SNA, the approach has yet to be discussed in relation to established philosophies of science. This article argues that there is a tension between applied and methods-oriented SNA studies, on the one hand, and those addressing the social-theoretical nature and implications of networks, on the (...) other. The former, in many cases, exhibits positivist tendencies, whereas the latter incorporate a number of assumptions that are directly compatible with core critical realist views on the nature of social reality and knowledge. This article suggests that SNA may be detached from positivist social science and come to constitute a valuable instrument in the critical realist toolbox. (shrink)

Developing a definition of group selection, and applying that definition to the dispute in the social sciences between methodological holists and methodological individualists, are the two goals of this paper. The definition proposed distinguishes between changes in groups that are due to group selection and changes in groups that are artefacts of selection processes occurring at lower levels of organization. It also explains why the existence of group selection is not implied by the mere fact that fitness values of organisms (...) are sensitive to the composition of groups. And, lastly, the definition explains why group selection need not involve selection for altruism. Group selection is thereby seen as an evolutionary force which is objectively distinct from other evolutionary forces. Applying the distinction between group and individual selection to the holism/individualism dispute has the desirable result that the dispute is not decidable a priori. This way of looking at the dispute yields a conception of individualism which is untainted by atomism and a conception of holism which is unspoiled by hypostatis. (shrink)

What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex systems (...) scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between complexity and evolution, artificial intelligence, computation, genetics, information processing, and many other fields. Richly illustrated and vividly written, Complexity : A Guided Tour offers a comprehensive and eminently comprehensible overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for the field's contribution to solving some of the most important scientific questions of our time. (shrink)

In this book, Roy Bhaskar sets out to revindicate ontology, critiquing the reduction of being in favor of knowledge, which he calls the "epistemic fallacy".

Since the publication of Roy Bhaskar's A Realist Theory of Science in 1975, critical realism has emerged as one of the most powerful new directions in the philosophy of science and social science, offering a real alternative to both positivism and postmodernism. This reader makes accessible in one volume key readings to stimulate debate about and within critical realism, including: the transcendental realist philosophy of science elaborated in A Realist Theory of Science ; Bhaskar's critical naturalist philosophy of social science; (...) the theory of explanatory critique, which is central to critical realism; and the theme of dialectic, which is central to Bhaskar's most recent writings. The volume includes extracts from Bhaskar's most important books, as well as selections from all of the other most important contributors to the critical realist program. It also includes both a general introduction and original introductions to each section. (shrink)

Since its original publication in 1979, The Possibility of Naturalism has been one of the most influential works in contemporary philosophy of science and social science. It is a cornerstone of the critical realist position, which is now widely seen as offering a viable alternative to move positivism and postmodernism. This revised edition includes a new foreword.

This book expounds the transcendental realist theory of science and critical naturalist social philosophy that have been developed by Bhaskar and are used by many contemporary social scientists. It defends Bhaskar's view that the possibility and necessity of experiment show that reality is structured and stratified, his use of this idea to develop a non-reductive explanatory account of human sciences, and his notion that to explain social structures can sometimes be to criticize them. After a discussion of the uses of (...) critical realism in controversial areas of social science, Bhaskar's optimism about the prospects of human sciences is criticized. (shrink)

In _Complexity and Postmodernism_, Paul Cilliers explores the idea of complexity in the light of contemporary perspectives from philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory into his discussion. _Complexity and Postmodernism_ is an exciting and an original book that should be read by anyone interested in gaining a fresh understanding of complexity, postmodernism and connectionism.

Engages with the impact of modern technology on experimental physicists. This study reveals how the increasing scale and complexity of apparatus has distanced physicists from the very science which drew them into experimenting, and has fragmented microphysics into different technical traditions.

The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data collection is driven by the perpetual cycle of capital accumulation, which in turn drives capital to construct and rely upon a universe in which everything is made of data. The imperative to capture all data, from all sources, by any means possible (...) influences many key decisions about business models, political governance, and technological development. This article argues that many common practices of data accumulation should actually be understood in terms of data extraction, wherein data is taken with little regard for consent and compensation. By understanding data as a form capital, we can better analyse the meaning, practices, and implications of datafication as a political economic regime. (shrink)

This article examines how the availability of Big Data, coupled with new data analytics, challenges established epistemologies across the sciences, social sciences and humanities, and assesses the extent to which they are engendering paradigm shifts across multiple disciplines. In particular, it critically explores new forms of empiricism that declare ‘the end of theory’, the creation of data-driven rather than knowledge-driven science, and the development of digital humanities and computational social sciences that propose radically different ways to make sense of culture, (...) history, economy and society. It is argued that: Big Data and new data analytics are disruptive innovations which are reconfiguring in many instances how research is conducted; and there is an urgent need for wider critical reflection within the academy on the epistemological implications of the unfolding data revolution, a task that has barely begun to be tackled despite the rapid changes in research practices presently taking place. After critically reviewing emerging epistemological positions, it is contended that a potentially fruitful approach would be the development of a situated, reflexive and contextually nuanced epistemology. (shrink)

In light of recent technological innovations and discourses around data and algorithmic analytics, scholars of many stripes are attempting to develop critical agendas and responses to these developments. In this mutual interview, three scholars discuss the stakes, ideas, responsibilities, and possibilities of critical data studies. The resulting dialog seeks to explore what kinds of critical approaches to these topics, in theory and practice, could open and make available such approaches to a broader audience.

DNA sequencers, Twitter, MRIs, Facebook, particle accelerators, Google Books, radio telescopes, Tumblr: what do these things have in common? According to the evangelists of “data science,” all of these are instruments for observing reality at unprecedentedly large scales and fine granularities. This perspective ignores the social reality of these very different technological systems, ignoring how they are made, how they work, and what they mean in favor of an exclusive focus on what they generate: Big Data. But no data, big (...) or small, can be interpreted without an understanding of the process that generated them. Statistical data science is applicable to systems that have been designed as scientific instruments, but is likely to lead to confusion when applied to systems that have not. In those cases, a historical inquiry is preferable. (shrink)

This article suggests that Facebook embodies a new logic of capitalist governance, what has been termed the ‘social logic of the derivative’. The logic of the derivative is rooted in the now dominant financial level of the capitalist economy, and is mediated by social media and the algorithmic processing of large digital data sets. This article makes three precise claims: First, that the modus operandi of Facebook mirrors the operations of derivative financial instruments. Second, that the algorithms that Facebook uses (...) share a genealogy with those of derivative financial instruments – both are outcomes of the influence of the ‘cyber sciences’ on managerial practice in the post-war years. Third, that the future potential of Facebook lies in its ability to apply the logic of derivatives to the financial valuation of ordinary social relations, thus further extending the process of financialization of everyday life. (shrink)

This book argues that this powerful technique permits the social sciences to meet an explanation, in which one 'grows' the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors.