When creating theory to understand or implement change at the social and/or organizational level, it is generally accepted that part of the theory building process includes a process of abstraction. While the process of abstraction is well understood, it is not so well understood how abstractions “fit” together to enable the creation of better theory. Starting with a few simple ideas, this paper explores one way we work with abstractions. This exploration challenges the traditionally held importance of abstracting concepts from (...) experience. That traditional focus has been one-sided—pushing science toward the discovery of data without the balancing process that occurs with the integration of the data. Without such balance, the sciences have been pushed toward fragmentation. Instead, in the present paper, new emphasis is placed on the relationship between abstract concepts. Specifically, this paper suggests that a better theory is one that is constructed of concepts that exist on a similar level of abstraction. Suggestions are made for quantifying this claim and using the insights to enable scholars and practitioners to create more effective theory. (shrink)

What is the nature of the social sciences? What kinds of knowledge can they—and should they—hope to create? Are objective viewpoints possible and can universal laws be discovered? Questions like these have been asked with increasing urgency in recent years, as some philosophers and researchers have perceived a "crisis" in the social sciences. Metatheory in Social Science offers many provocative arguments and analyses of basic conceptual frameworks for the study of human behavior. These are offered primarily by practicing researchers and (...) are related to problems in disciplines as diverse as sociology, psychology, psychiatry, anthropology, and philosophy of science. While various points of view are expressed in these nineteen essays, they have in common several themes, including the comparison of social and natural science, the role of knowledge in meeting the demands of society and its pressing problems, and the nature and role of subjectivity in science. Some authors hold that subjectivity cannot be studied scientifically; others argue that it can and must be if progress in knowledge is to be made. The essays demonstrate the philosophical pluralism they discuss and give a wide range of alternative positions on the future of the social and behavioral sciences in a postpositivist intellectual world. (shrink)

A theory of analogy must describe how the meaning of an analogy is derived from the meanings of its parts. In the structure‐mapping theory, the interpretation rules are characterized as implicit rules for mapping knowledge about a base domain into a target domain. Two important features of the theory are (a) the rules depend only on syntactic properties of the knowledge representation, and not on the specific content of the domains; and (b) the theoretical framework allows analogies to be distinguished (...) cleanly from literal similarity statements, applications of abstractions, and other kinds of comparisons.Two mapping principles are described: (a) Relations between objects, rather than attributes of objects, are mapped from base to target; and (b) The particular relations mapped are determined by systematicity, as defined by the existence of higher‐order relations. (shrink)

The current state of the world suggests we have some difficulty in developing effective policy. This paper demonstrates two methods for the objective analysis of logic models within policy documents. By comparing policy models, we will be better able to compare policies and so determine which policy is best. Our ability to develop effective policy is reflected across the social sciences where our ability to create effective theoretical models is being called into question. The broad scope of this issue suggests (...) a source as deep as our unconscious ways of thinking. Specifically, our reliance on modern and postmodern thinking has limited our ability to develop more effective policy, and more particularly, logic models. The move in some quarters toward “integral” thinking may provide insights that support the creation of more useful policy models. However, some versions of that thinking seem to be unwittingly mired in modern and postmodern thinking. This paper identifies how integral thought may be clarified, allowing us to advance beyond postmodern thinking. Usefully, this “neo-integral” form of thinking supports the creation of more mature policy models by encompassing greater complexity and a careful understanding of interrelationships that may be identified within the logic models that are commonly found in policy analyses. Neo-integral thinking is related to more complex forms of systems thinking and both are found in recent conversations within the nascent field of metatheory. And, to some extent, a logic model within a policy operates as a kind of theoretical model because both may be used to inform understanding and decision-making. Therefore, it seems reasonable to apply neo-integral thinking and metatheoretical methodologies to conduct critical comparisons of logic models. In the present paper, these methodologies are applied to critically compare two logic models. The structure of each model is analyzed to objectively determine its complexity and formal robustness. The complexity is determined by quantifying the concepts and connections within each model. The robustness of a model is a measure of its internal integrity, based on the ratio between the total number of aspects and the number of concatenated aspects. In this analysis, one policy model is found to have a robustness of 0.08, while another is found to have a robustness of 0.67. The more robust policy is expected to be much more effective in application. Implications for policy development and policy application are discussed. (shrink)

Two books have been particularly influential in contemporary philosophy of science: Karl R. Popper's Logic of Scientific Discovery, and Thomas S. Kuhn's Structure of Scientific Revolutions. Both agree upon the importance of revolutions in science, but differ about the role of criticism in science's revolutionary growth. This volume arose out of a symposium on Kuhn's work, with Popper in the chair, at an international colloquium held in London in 1965. The book begins with Kuhn's statement of his position followed by (...) seven essays offering criticism and analysis, and finally by Kuhn's reply. The book will interest senior undergraduates and graduate students of the philosophy and history of science, as well as professional philosophers, philosophically inclined scientists, and some psychologists and sociologists. (shrink)

Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.

Thomas S. Kuhn's classic book is now available with a new index.

Why do policies fail? How can we objectively choose the best policy from two (or more) competing alternatives? How can we create better policies? To answer these critical questions this book presents an innovative yet workable approach. Avoiding Policy Failure uses emerging metapolicy methodologies in case studies that compare successful policies with ones that have failed. Those studies investigate the systemic nature of each policy text to gain new insights into why policies fail. -/- In addition to providing intriguing directions (...) for research, this book also suggests a bold new standard for evaluating policies. While this method is broadly generalizable, specific examples are provided showing how to develop better Economic Policy, Military Policy, and Constitutional Organizations. This book shows scholars, researchers, and policy analysts how to develop more effective policies so that we may achieve our highest aspirations and avoid the horrendous failures of the past. (shrink)

The anthropological approach is the central focus of this study. Laboratories are looked upon with the innocent eye of the traveller in exotic lands, and the societies found in these places are observed with the objective yet compassionate eye of the visitor from a quite other cultural milieu. There are many surprises that await us if we enter a laboratory in this frame of mind... This study is a realistic enterprise, an attempt to truly represent the social order of life (...) in laboratories and institutes of research, just as they are. By bringing the philosophical issues to the surface as matters not of prejudgement but as matters of concern, Karin Knorr-Cetina has developed the first really positive challenge to the philosophy of science since the days of paradigms and internal definitions of meanings. (shrink)

Craik published only one complete work of any length, this essay on The Nature of Explanation.

A rapidly growing body of scholarship shows that we can gain new insights into theories and policies by understanding and increasing their systemic structure. This paper will present an overview of this expanding field and discuss how concepts of structure are being applied in a variety of contexts to support collaboration, decision making, learning, prediction, and results. Next, it will delve into the underlying structures of logic that may be found within those theories and policies. Here, we will go beyond (...) Toulmin’s logics of claim and proof that have not proven useful for advancing the social sciences and focus on five structures of “causal logic.” The results suggest a useful and more comprehensive approach to developing deeper understanding of our conceptual systems such as theory and policy. (shrink)

When creating theory to understand or implement change at the social and/or organizational level, it is generally accepted that part of the theory building process includes a process of abstraction. While the process of abstraction is well understood, it is not so well understood how abstractions “fit” together to enable the creation of better theory. Starting with a few simple ideas, this paper explores one way we work with abstractions. This exploration challenges the traditionally held importance of abstracting concepts from (...) experience. That traditional focus has been one-sided—pushing science toward the discovery of data without the balancing process that occurs with the integration of the data. Without such balance, the sciences have been pushed toward fragmentation. Instead, in the present paper, new emphasis is placed on the relationship between abstract concepts. Specifically, this paper suggests that a better theory is one that is constructed of concepts that exist on a similar level of abstraction. Suggestions are made for quantifying this claim and using the insights to enable scholars and practitioners to create more effective theory. (shrink)

Purpose – The purpose of this paper is to investigate the internal structure of Gandhi's ethics as a way to determine opportunities for improving that system's ability to influence behavior. In this paper, the author aims to work under the idea that a system of ethics is a guide for social responsibility. -/- Design/methodology/approach – The data source is Gandhi's set of ethics as described by Naess. These simple (primarily quantitative) studies compare the concepts within the code of ethics, and (...) their relationships to one another. -/- Findings – Gandhi's ethics are robust at the 0.25 level (the scale is zero to one – zero is lowest). This is consistent with theories of the social sciences (that do not work well in practice). Gandhi's success might be ascribed to his leadership ability. -/- Research limitations/implications – Some suggest this approach is reductionist because of its superficial similarity to approaches of physical science. The implications for research are profound. First, this approach provides an objective method for comparing (and so, advancing) systems of ethics. Second, this paper suggests the opportunity to compare the internal structure of ethics with “external” aspects – the implementation of ethical systems. -/- Practical implications – By itself, Gandhi's system of ethics cannot be reliably applied in practice - it cannot be expected to change behavior more than any other system of ethics. This raises concerns about other ethical codes as well. The practical implications of the form of analysis presented in this paper are immense because it provides a way for practitioners to objectively compare two codes of ethics and determine which one will be more effective. -/- Originality/value – The approach documented in the paper has never been applied to the field of ethics. It is unique in that it addresses the “internal” structure of a system of ethics (compared to the “external”, or application, of ethical systems). (shrink)

The aim of this paper is to offer an account of epistemic justification suitable for the context of theory pursuit, that is, for the context in which new scientific ideas, possibly incompatible with the already established theories, emerge and are pursued by scientists. We will frame our account paradigmatically on the basis of one of the influential systems of epistemic justification: Laurence Bonjour’s coherence theory of justification. The idea underlying our approach is to develop a set of criteria which indicate (...) that the pursued system is promising of contributing to the epistemic goal of robustness of scientific knowledge and of developing into a candidate for acceptance. In order to realize this we will (a) adjust the scope of Bonjour’s standards—consistency, inferential density, and explanatory power, and (b) complement them by the requirement of a programmatic character. In this way we allow for the evaluation of the “potential coherence” of the given epistemic system. (shrink)

From a Kuhnian perspective, a paradigmatic revolution in management science will significantly improve our understanding of the business world and show practitioners (including managers and consultants) how to become much more effective. Without an objective measure of revolution, however, the door is open for spurious claims of revolutionary advance. Such claims cause confusion among scholars and practitioners and reduce the legitimacy of university management programs. Metatheoretical methods, based on insights from systems theory, provide new tools for analyzing the structure of (...) theory. Propositional analysis is one such method that may be applied to objectively quantify the formal robustness of management theory. In this chapter, I use propositional analysis to analyze different versions of a theory as it evolves across 1,500 years of history. This analysis shows how the increasing robustness of theory anticipates the arrival of revolution and suggests an innovative and effective way for scholars and practitioners to develop and evaluate theories of management. (shrink)

Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support (...) cognitive and emotional processes underlying human creativity. (shrink)

Statistical procedures can be applied to episodes in the history of science in order to weight attributes to predict short-term survival of theories; an asymptotic method is used to show that short-term survival is a valid proxy for ultimate survival; and a theoretical argument is made that ultimate survival is a valid proxy for objective truth. While realists will appreciate this last step, instrumentalists do not need it to benefit from the actuarial procedures of cliometric metatheory. Introduction A plausible proxy (...) for Peircean consensus Assessing the validity of theory attributes as predictors of theory survival 3.1 Linear discriminant function 3.2 Factor analysis 3.3 Taxometric analysis Verisimilitude index Satisfying both instrumentalists and realists Recapitulation Implementation of cliometric metatheory * Correspondence about this article may be addressed to Leslie Yonce at pemeehle{at}umn.edu' + u + '@' + d + ''//--> This article had been completed by Paul Meehl at the time of his death on 14 February 2003. His wife, Leslie J. Yonce, is grateful to Keith Gunderson (University of Minnesota, Center for Philosophy of Science) and Niels G. Waller (Psychology Department, Vanderbilt University) for advice with some final editing details. (shrink)

The purpose of this paper1 is to rationalise why and how philosophy can help today’s managers in their daily practices. I will first explain why today’s managers particularly should engage themselves in profound and enduring dialogue with philosophers. To this end, I will present the close links between the major managerial activities and the major philosophical domains. In the second section, I will sketch out how such a dialogue can be facilitated. To this end, I will present some of the (...) methods and conditions used to ensure the success of the practice of philosophy in organisations. (shrink)

More powerful methods for studying and integrating the historical track record of scientific episodes and scientific judgment, or what Faust and Meehl describe as a program of meta‐science and meta‐scientific studies, can supplement and extend more commonly used case study methods. We describe the basic premises of meta‐science, overview methodological considerations, and provide examples of meta‐scientific studies. Meta‐science can help to clarify or resolve long‐standing questions in the history and philosophy of science and provide practical help to the working scientist.

In this article, I explore the field of metatheory with two goals. My first goal is to present a clear understanding of what metatheory “is” based on a collection of over twenty definitions of the term. My second goal is to present a preliminary investigation into how metatheory might be understood as a science. From that perspective, I present some strengths and weaknesses of our field and suggest steps to make metatheory more rigorous, more scientific, and so make more of (...) a contribution to the larger community of the social sciences. (shrink)