Current issues in causation research

This week's conference on Causality and Explanation in the Sciences in Ghent was an unusually good academic meeting (link). Participants gathered from all over Europe, as well as a few from North America, Australia, and South Africa, to debate the logic and substance of causal interpretations of the world. Among other things, it provided all participants with a very good sense of the ideas about causation that are generating the most discussion today.

A general perception that emerges from the gestalt of papers at the conference is that there are three large focus areas in current research on scientific causation. First, there is interest in specifying what causal assertions and concepts mean in scientific explanations. What are the logical, conceptual, and pragmatic issues associated with causal assertions and explanations?

Second, there is a large body of work focusing on the methods we can use to support causal inference in the sciences. Every field of science produces volumes of data about variables and events over time. What methods exist to permit inferences about causal relationships among the observed variables and entities? This includes causal modeling statistical methods, but also comparative methods deriving from Mill's methods of difference and similarity.

Third, there is a group of philosophers and scientists who are primarily interested in the ontology of causation in various parts of the sciences. How do various factors exercise causal powers in ecology, the social sciences, or complex systems? Researchers in these areas need provisional answers to questions raised by the first two groups, but their focus is on substantive causal processes rather than the logic of causal statements.

It is useful to inventory half a dozen approaches that were repeatedly cited. This survey is impressionistic but gives an idea of the current landscape.

The mechanisms approach. The idea that we can explicate causation through the idea of a mechanism has been rising in importance over the past twenty years. The idea here is that the fundamental causal concept is that of a mechanism through which X brings about or produces Y. This is argued to be key to causation from single-case studies to large statistical studies suggesting a causal relationship between two or more variables. Peter Hedstrom and other exponents of analytical sociology are recent voices for this approach for the social sciences, though expositions of this approach don't usually go into the level of detail expected by philosophers like Woodward and Cartwright. An important paper by Peter Machamer, Lindley Darden and Carl Craver, "Thinking about Mechanisms", sets the terms of current technical discussions; their view is referred to as the MDC theory. A common concern is that the approach hasn't been as clear as it should be about what precisely a mechanism is. James Mahoney made this criticism in 2001 in "Beyond Correlational Analysis" reviewing Charles Ragin, Fuzzy-Set Social Science and Peter Hedstrom and Richard Swedberg, Social Mechanisms: An Analytical Approach to Social Theory (link), and we still need a more generally recognized specification of the idea. (See an earlier post on this approach; link.)

The manipulability account. Jim Woodward is perhaps the leading exponent of the manipulability (or interventionist) account. He develops his views in detail in his recent book, Making Things Happen: A Theory of Causal Explanation. The view is an intuitively plausible one: causal claims have to do with judgments about how the world would be if we altered certain circumstances. If we observe that the concentration of sulphuric acid is increasing in the atmosphere, we might consider the increasing volume of H2SO4 released by coal power plants from 1960 to 1990. And we might speculate that there is a causal connection between these facts. A counterfactual causal statement holds that: If X (increasing emissions) had not occurred, then Y (increasing acid rain) would not have occurred. The manipulability theory adds this point: if we could remove X from the sequence, then we would alter the value of Y. And this in turn makes good sense of the ways in which we design controlled experiments.

Difference-making. Another strand of thinking about causation focuses on the explanations we are looking for when we ask about the cause of some outcome. Here philosophers note that there are vastly many conditions that are causally necessary for an event but do not count as being explanatory. Lee Harvey Oswald was alive when he fired his rifle in Dallas; but this doesn't play an explanatory role in the assassination of Kennedy. Crudely speaking, we want to know which causal factors were salient; which factors made a difference in the outcome. Michael Strevens provides a detailed and innovative explication of this set of intuitions in his recent book Depth: An Account of Scientific Explanation, where he introduces his theory of "Kairetic" explanation.

Contrastive analysis as a theory of explanation. When we seek an explanation of something, we generally have something specific in mind: why X rather than X'? And an explanation that keys off the wrong contrast will fail, even though its premises are correct. Bas van Fraassen (1980), The Scientific Image, is often cited in this context. A conference participant, Petri Ylikoski, develops a contrastive counterfactual theory in his dissertation (link). This body of work seeks to clarify pragmatic issues concerning explanation, including understanding and explanatory relevance. If we ask for an explanation for why X occurred, we are usually presupposing a question like this:

Why did X occur [rather than Y]?

• Why is John carrying his umbrella [rather than not]?
• Why is John carrying his umbrella [rather than his raincoat]?
• Why is John carrying his umbrella [rather than his assistant Harry]?

These all demand different answers:

• Because he expects rain;
• Because it is too warm for a raincoat;
• Because Harry is carrying three heavy suitcases.

Here is a much-cited review article by Nancy Cartwright on van Fraasen's work (link), and here is a discussion of contrastive explanation by Jonathan Schaffer (link).

Causal modeling theory. This topic refers to the large body of statistical theory devoted to identifying potential causal relationships among observable variables in a large data set. Hubert Blalock is a founder of this approach (Causal Inferences in Nonexperimental Research; 1964) with his statistical models for causal path analysis. (Here is a short account of the history of path analysis in genetics.) Judea Pearl has contributed a great deal to the method of structural equation modeling (SEM) in Causality: Models, Reasoning and Inference and elsewhere. Here is a handbook article in which he explains the method and its causal relevance (link). Pearl maintains a research blog on causality here. Granger causality is a specific technique for assessing causal relationships within time series data: X Granger-causes Y if variations in X and Y together do a better job of predicting Y than variations in Y by itself.

Prior foundations of philosophical theories of causation. Two older discussions of causality also received some notice in these papers: J. L. Mackie on INUS conditions and causal fields (The Cement of the Universe: A Study of Causation) and Wesley Salmon on the causal structure of the world (Scientific Explanation and the Causal Structure of the World).

Nancy Cartwright's "Causation: One Word, Many Things" provides a very good contemporary review of the varieties of approaches that are currently being taken to the idea of causation (link).

Much of the intellectual vitality of this group of philosophers is captured in the major work recently edited by Phyllis McKay Illari, Federica Russo, and John Williamson, Causality in the Sciences. The book contains a very wide range of disciplines and approaches in its treatment of the topic.

Current issues in causation research

This week's conference on Causality and Explanation in the Sciences in Ghent was an unusually good academic meeting (link). Participants gathered from all over Europe, as well as a few from North America, Australia, and South Africa, to debate the logic and substance of causal interpretations of the world. Among other things, it provided all participants with a very good sense of the ideas about causation that are generating the most discussion today.

A general perception that emerges from the gestalt of papers at the conference is that there are three large focus areas in current research on scientific causation. First, there is interest in specifying what causal assertions and concepts mean in scientific explanations. What are the logical, conceptual, and pragmatic issues associated with causal assertions and explanations?

Second, there is a large body of work focusing on the methods we can use to support causal inference in the sciences. Every field of science produces volumes of data about variables and events over time. What methods exist to permit inferences about causal relationships among the observed variables and entities? This includes causal modeling statistical methods, but also comparative methods deriving from Mill's methods of difference and similarity.

Third, there is a group of philosophers and scientists who are primarily interested in the ontology of causation in various parts of the sciences. How do various factors exercise causal powers in ecology, the social sciences, or complex systems? Researchers in these areas need provisional answers to questions raised by the first two groups, but their focus is on substantive causal processes rather than the logic of causal statements.

It is useful to inventory half a dozen approaches that were repeatedly cited. This survey is impressionistic but gives an idea of the current landscape.

The mechanisms approach. The idea that we can explicate causation through the idea of a mechanism has been rising in importance over the past twenty years. The idea here is that the fundamental causal concept is that of a mechanism through which X brings about or produces Y. This is argued to be key to causation from single-case studies to large statistical studies suggesting a causal relationship between two or more variables. Peter Hedstrom and other exponents of analytical sociology are recent voices for this approach for the social sciences, though expositions of this approach don't usually go into the level of detail expected by philosophers like Woodward and Cartwright. An important paper by Peter Machamer, Lindley Darden and Carl Craver, "Thinking about Mechanisms", sets the terms of current technical discussions; their view is referred to as the MDC theory. A common concern is that the approach hasn't been as clear as it should be about what precisely a mechanism is. James Mahoney made this criticism in 2001 in "Beyond Correlational Analysis" reviewing Charles Ragin, Fuzzy-Set Social Science and Peter Hedstrom and Richard Swedberg, Social Mechanisms: An Analytical Approach to Social Theory (link), and we still need a more generally recognized specification of the idea. (See an earlier post on this approach; link.)

The manipulability account. Jim Woodward is perhaps the leading exponent of the manipulability (or interventionist) account. He develops his views in detail in his recent book, Making Things Happen: A Theory of Causal Explanation. The view is an intuitively plausible one: causal claims have to do with judgments about how the world would be if we altered certain circumstances. If we observe that the concentration of sulphuric acid is increasing in the atmosphere, we might consider the increasing volume of H2SO4 released by coal power plants from 1960 to 1990. And we might speculate that there is a causal connection between these facts. A counterfactual causal statement holds that: If X (increasing emissions) had not occurred, then Y (increasing acid rain) would not have occurred. The manipulability theory adds this point: if we could remove X from the sequence, then we would alter the value of Y. And this in turn makes good sense of the ways in which we design controlled experiments.

Difference-making. Another strand of thinking about causation focuses on the explanations we are looking for when we ask about the cause of some outcome. Here philosophers note that there are vastly many conditions that are causally necessary for an event but do not count as being explanatory. Lee Harvey Oswald was alive when he fired his rifle in Dallas; but this doesn't play an explanatory role in the assassination of Kennedy. Crudely speaking, we want to know which causal factors were salient; which factors made a difference in the outcome. Michael Strevens provides a detailed and innovative explication of this set of intuitions in his recent book Depth: An Account of Scientific Explanation, where he introduces his theory of "Kairetic" explanation.

Contrastive analysis as a theory of explanation. When we seek an explanation of something, we generally have something specific in mind: why X rather than X'? And an explanation that keys off the wrong contrast will fail, even though its premises are correct. Bas van Fraassen (1980), The Scientific Image, is often cited in this context. A conference participant, Petri Ylikoski, develops a contrastive counterfactual theory in his dissertation (link). This body of work seeks to clarify pragmatic issues concerning explanation, including understanding and explanatory relevance. If we ask for an explanation for why X occurred, we are usually presupposing a question like this:

Why did X occur [rather than Y]?

• Why is John carrying his umbrella [rather than not]?
• Why is John carrying his umbrella [rather than his raincoat]?
• Why is John carrying his umbrella [rather than his assistant Harry]?

These all demand different answers:

• Because he expects rain;
• Because it is too warm for a raincoat;
• Because Harry is carrying three heavy suitcases.

Here is a much-cited review article by Nancy Cartwright on van Fraasen's work (link), and here is a discussion of contrastive explanation by Jonathan Schaffer (link).

Causal modeling theory. This topic refers to the large body of statistical theory devoted to identifying potential causal relationships among observable variables in a large data set. Hubert Blalock is a founder of this approach (Causal Inferences in Nonexperimental Research; 1964) with his statistical models for causal path analysis. (Here is a short account of the history of path analysis in genetics.) Judea Pearl has contributed a great deal to the method of structural equation modeling (SEM) in Causality: Models, Reasoning and Inference and elsewhere. Here is a handbook article in which he explains the method and its causal relevance (link). Pearl maintains a research blog on causality here. Granger causality is a specific technique for assessing causal relationships within time series data: X Granger-causes Y if variations in X and Y together do a better job of predicting Y than variations in Y by itself.

Prior foundations of philosophical theories of causation. Two older discussions of causality also received some notice in these papers: J. L. Mackie on INUS conditions and causal fields (The Cement of the Universe: A Study of Causation) and Wesley Salmon on the causal structure of the world (Scientific Explanation and the Causal Structure of the World).

Nancy Cartwright's "Causation: One Word, Many Things" provides a very good contemporary review of the varieties of approaches that are currently being taken to the idea of causation (link).

Much of the intellectual vitality of this group of philosophers is captured in the major work recently edited by Phyllis McKay Illari, Federica Russo, and John Williamson, Causality in the Sciences. The book contains a very wide range of disciplines and approaches in its treatment of the topic.

Current issues in causation research

This week's conference on Causality and Explanation in the Sciences in Ghent was an unusually good academic meeting (link). Participants gathered from all over Europe, as well as a few from North America, Australia, and South Africa, to debate the logic and substance of causal interpretations of the world. Among other things, it provided all participants with a very good sense of the ideas about causation that are generating the most discussion today.

A general perception that emerges from the gestalt of papers at the conference is that there are three large focus areas in current research on scientific causation. First, there is interest in specifying what causal assertions and concepts mean in scientific explanations. What are the logical, conceptual, and pragmatic issues associated with causal assertions and explanations?

Second, there is a large body of work focusing on the methods we can use to support causal inference in the sciences. Every field of science produces volumes of data about variables and events over time. What methods exist to permit inferences about causal relationships among the observed variables and entities? This includes causal modeling statistical methods, but also comparative methods deriving from Mill's methods of difference and similarity.

Third, there is a group of philosophers and scientists who are primarily interested in the ontology of causation in various parts of the sciences. How do various factors exercise causal powers in ecology, the social sciences, or complex systems? Researchers in these areas need provisional answers to questions raised by the first two groups, but their focus is on substantive causal processes rather than the logic of causal statements.

It is useful to inventory half a dozen approaches that were repeatedly cited. This survey is impressionistic but gives an idea of the current landscape.

The mechanisms approach. The idea that we can explicate causation through the idea of a mechanism has been rising in importance over the past twenty years. The idea here is that the fundamental causal concept is that of a mechanism through which X brings about or produces Y. This is argued to be key to causation from single-case studies to large statistical studies suggesting a causal relationship between two or more variables. Peter Hedstrom and other exponents of analytical sociology are recent voices for this approach for the social sciences, though expositions of this approach don't usually go into the level of detail expected by philosophers like Woodward and Cartwright. An important paper by Peter Machamer, Lindley Darden and Carl Craver, "Thinking about Mechanisms", sets the terms of current technical discussions; their view is referred to as the MDC theory. A common concern is that the approach hasn't been as clear as it should be about what precisely a mechanism is. James Mahoney made this criticism in 2001 in "Beyond Correlational Analysis" reviewing Charles Ragin, Fuzzy-Set Social Science and Peter Hedstrom and Richard Swedberg, Social Mechanisms: An Analytical Approach to Social Theory (link), and we still need a more generally recognized specification of the idea. (See an earlier post on this approach; link.)

The manipulability account. Jim Woodward is perhaps the leading exponent of the manipulability (or interventionist) account. He develops his views in detail in his recent book, Making Things Happen: A Theory of Causal Explanation. The view is an intuitively plausible one: causal claims have to do with judgments about how the world would be if we altered certain circumstances. If we observe that the concentration of sulphuric acid is increasing in the atmosphere, we might consider the increasing volume of H2SO4 released by coal power plants from 1960 to 1990. And we might speculate that there is a causal connection between these facts. A counterfactual causal statement holds that: If X (increasing emissions) had not occurred, then Y (increasing acid rain) would not have occurred. The manipulability theory adds this point: if we could remove X from the sequence, then we would alter the value of Y. And this in turn makes good sense of the ways in which we design controlled experiments.

Difference-making. Another strand of thinking about causation focuses on the explanations we are looking for when we ask about the cause of some outcome. Here philosophers note that there are vastly many conditions that are causally necessary for an event but do not count as being explanatory. Lee Harvey Oswald was alive when he fired his rifle in Dallas; but this doesn't play an explanatory role in the assassination of Kennedy. Crudely speaking, we want to know which causal factors were salient; which factors made a difference in the outcome. Michael Strevens provides a detailed and innovative explication of this set of intuitions in his recent book Depth: An Account of Scientific Explanation, where he introduces his theory of "Kairetic" explanation.

Contrastive analysis as a theory of explanation. When we seek an explanation of something, we generally have something specific in mind: why X rather than X'? And an explanation that keys off the wrong contrast will fail, even though its premises are correct. Bas van Fraassen (1980), The Scientific Image, is often cited in this context. A conference participant, Petri Ylikoski, develops a contrastive counterfactual theory in his dissertation (link). This body of work seeks to clarify pragmatic issues concerning explanation, including understanding and explanatory relevance. If we ask for an explanation for why X occurred, we are usually presupposing a question like this:

Why did X occur [rather than Y]?

• Why is John carrying his umbrella [rather than not]?
• Why is John carrying his umbrella [rather than his raincoat]?
• Why is John carrying his umbrella [rather than his assistant Harry]?

These all demand different answers:

• Because he expects rain;
• Because it is too warm for a raincoat;
• Because Harry is carrying three heavy suitcases.

Here is a much-cited review article by Nancy Cartwright on van Fraasen's work (link), and here is a discussion of contrastive explanation by Jonathan Schaffer (link).

Causal modeling theory. This topic refers to the large body of statistical theory devoted to identifying potential causal relationships among observable variables in a large data set. Hubert Blalock is a founder of this approach (Causal Inferences in Nonexperimental Research; 1964) with his statistical models for causal path analysis. (Here is a short account of the history of path analysis in genetics.) Judea Pearl has contributed a great deal to the method of structural equation modeling (SEM) in Causality: Models, Reasoning and Inference and elsewhere. Here is a handbook article in which he explains the method and its causal relevance (link). Pearl maintains a research blog on causality here. Granger causality is a specific technique for assessing causal relationships within time series data: X Granger-causes Y if variations in X and Y together do a better job of predicting Y than variations in Y by itself.

Prior foundations of philosophical theories of causation. Two older discussions of causality also received some notice in these papers: J. L. Mackie on INUS conditions and causal fields (The Cement of the Universe: A Study of Causation) and Wesley Salmon on the causal structure of the world (Scientific Explanation and the Causal Structure of the World).

Nancy Cartwright's "Causation: One Word, Many Things" provides a very good contemporary review of the varieties of approaches that are currently being taken to the idea of causation (link).

Much of the intellectual vitality of this group of philosophers is captured in the major work recently edited by Phyllis McKay Illari, Federica Russo, and John Williamson, Causality in the Sciences. The book contains a very wide range of disciplines and approaches in its treatment of the topic.

Causal realism for sociology

The subject of causal explanation in the social sciences has been a recurring thread here (thread). Here are some summary thoughts about social causation.

First, there is such a thing as social causation. Causal realism is a defensible position when it comes to the social world: there are real social relations among social factors (structures, institutions, groups, norms, and salient social characteristics like race or gender). We can give a rigorous interpretation to claims like "racial discrimination causes health disparities in the United States" or "rail networks cause changes in patterns of habitation".

Second, it is crucial to recognize that causal relations depend on the existence of real social-causal mechanisms linking cause to effect. Discovery of correlations among factors does not constitute the whole meaning of a causal statement. Rather, it is necessary to have a theory of the mechanisms and processes that give rise to the correlation. Moreover, it is defensible to attribute a causal relation to a pair of factors even in the absence of a correlation between them, if we can provide evidence supporting the claim that there are specific mechanisms connecting them. So mechanisms are more fundamental than regularities.

Third, there is a key intellectual obligation that goes along with postulating real social mechanisms: to provide an account of the ontology or substrate within which these mechanisms operate. This I have attempted to provide through the theory of methodological localism (post) -- the idea that the causal nexus of the social world is constituted by the behaviors of socially situated and socially constructed individuals. To put the claim in its extreme form, every social mechanism derives from facts about institutional context, the features of the social construction and development of individuals, and the factors governing purposive agency in specific sorts of settings. And different research programs target different aspects of this nexus.

Fourth, the discovery of social mechanisms often requires the formulation of mid-level theories and models of these mechanisms and processes -- for example, the theory of free-riders. By mid-level theory I mean essentially the same thing that Robert Merton meant to convey when he introduced the term: an account of the real social processes that take place above the level of isolated individual action but below the level of full theories of whole social systems. Marx's theory of capitalism illustrates the latter; Jevons's theory of the individual consumer ss a utility maximizer illustrates the former. Coase's theory of transaction costs is a good example of a mid-level theory (The Firm, the Market, and the Law): general enough to apply across a wide range of institutional settings, but modest enough in its claim of comprehensiveness to admit of careful empirical investigation. Significantly, the theory of transaction costs has spawned major new developments in the new institutionalism in sociology (Mary Brinton and Victor Nee, eds., The New Institutionalism in Sociology).

And finally, it is important to look at a variety of typical forms of sociological reasoning in detail, in order to see how the postulation and discovery of social mechanisms play into mainstream sociological research. Properly understood, there is no contradiction between the effort to use quantitative tools to chart the empirical outlines of a complex social reality, and the use of theory, comparison, case studies, process-tracing, and other research approaches aimed at uncovering the salient social mechanisms that hold this empirical reality together.

Causal realism for sociology

The subject of causal explanation in the social sciences has been a recurring thread here (thread). Here are some summary thoughts about social causation.

First, there is such a thing as social causation. Causal realism is a defensible position when it comes to the social world: there are real social relations among social factors (structures, institutions, groups, norms, and salient social characteristics like race or gender). We can give a rigorous interpretation to claims like "racial discrimination causes health disparities in the United States" or "rail networks cause changes in patterns of habitation".

Second, it is crucial to recognize that causal relations depend on the existence of real social-causal mechanisms linking cause to effect. Discovery of correlations among factors does not constitute the whole meaning of a causal statement. Rather, it is necessary to have a theory of the mechanisms and processes that give rise to the correlation. Moreover, it is defensible to attribute a causal relation to a pair of factors even in the absence of a correlation between them, if we can provide evidence supporting the claim that there are specific mechanisms connecting them. So mechanisms are more fundamental than regularities.

Third, there is a key intellectual obligation that goes along with postulating real social mechanisms: to provide an account of the ontology or substrate within which these mechanisms operate. This I have attempted to provide through the theory of methodological localism (post) -- the idea that the causal nexus of the social world is constituted by the behaviors of socially situated and socially constructed individuals. To put the claim in its extreme form, every social mechanism derives from facts about institutional context, the features of the social construction and development of individuals, and the factors governing purposive agency in specific sorts of settings. And different research programs target different aspects of this nexus.

Fourth, the discovery of social mechanisms often requires the formulation of mid-level theories and models of these mechanisms and processes -- for example, the theory of free-riders. By mid-level theory I mean essentially the same thing that Robert Merton meant to convey when he introduced the term: an account of the real social processes that take place above the level of isolated individual action but below the level of full theories of whole social systems. Marx's theory of capitalism illustrates the latter; Jevons's theory of the individual consumer ss a utility maximizer illustrates the former. Coase's theory of transaction costs is a good example of a mid-level theory (The Firm, the Market, and the Law): general enough to apply across a wide range of institutional settings, but modest enough in its claim of comprehensiveness to admit of careful empirical investigation. Significantly, the theory of transaction costs has spawned major new developments in the new institutionalism in sociology (Mary Brinton and Victor Nee, eds., The New Institutionalism in Sociology).

And finally, it is important to look at a variety of typical forms of sociological reasoning in detail, in order to see how the postulation and discovery of social mechanisms play into mainstream sociological research. Properly understood, there is no contradiction between the effort to use quantitative tools to chart the empirical outlines of a complex social reality, and the use of theory, comparison, case studies, process-tracing, and other research approaches aimed at uncovering the salient social mechanisms that hold this empirical reality together.

Causal realism for sociology

The subject of causal explanation in the social sciences has been a recurring thread here (thread). Here are some summary thoughts about social causation.

First, there is such a thing as social causation. Causal realism is a defensible position when it comes to the social world: there are real social relations among social factors (structures, institutions, groups, norms, and salient social characteristics like race or gender). We can give a rigorous interpretation to claims like "racial discrimination causes health disparities in the United States" or "rail networks cause changes in patterns of habitation".

Second, it is crucial to recognize that causal relations depend on the existence of real social-causal mechanisms linking cause to effect. Discovery of correlations among factors does not constitute the whole meaning of a causal statement. Rather, it is necessary to have a theory of the mechanisms and processes that give rise to the correlation. Moreover, it is defensible to attribute a causal relation to a pair of factors even in the absence of a correlation between them, if we can provide evidence supporting the claim that there are specific mechanisms connecting them. So mechanisms are more fundamental than regularities.

Third, there is a key intellectual obligation that goes along with postulating real social mechanisms: to provide an account of the ontology or substrate within which these mechanisms operate. This I have attempted to provide through the theory of methodological localism (post) -- the idea that the causal nexus of the social world is constituted by the behaviors of socially situated and socially constructed individuals. To put the claim in its extreme form, every social mechanism derives from facts about institutional context, the features of the social construction and development of individuals, and the factors governing purposive agency in specific sorts of settings. And different research programs target different aspects of this nexus.

Fourth, the discovery of social mechanisms often requires the formulation of mid-level theories and models of these mechanisms and processes -- for example, the theory of free-riders. By mid-level theory I mean essentially the same thing that Robert Merton meant to convey when he introduced the term: an account of the real social processes that take place above the level of isolated individual action but below the level of full theories of whole social systems. Marx's theory of capitalism illustrates the latter; Jevons's theory of the individual consumer ss a utility maximizer illustrates the former. Coase's theory of transaction costs is a good example of a mid-level theory (The Firm, the Market, and the Law): general enough to apply across a wide range of institutional settings, but modest enough in its claim of comprehensiveness to admit of careful empirical investigation. Significantly, the theory of transaction costs has spawned major new developments in the new institutionalism in sociology (Mary Brinton and Victor Nee, eds., The New Institutionalism in Sociology).

And finally, it is important to look at a variety of typical forms of sociological reasoning in detail, in order to see how the postulation and discovery of social mechanisms play into mainstream sociological research. Properly understood, there is no contradiction between the effort to use quantitative tools to chart the empirical outlines of a complex social reality, and the use of theory, comparison, case studies, process-tracing, and other research approaches aimed at uncovering the salient social mechanisms that hold this empirical reality together.

The historian's task

What are the intellectual tasks that define the historian's work? In a sense, this question is best answered on the basis of a careful reading of some good historians. But it will be useful to offer several simple answers to this foundational question as a sort of conceptual map of the nature of historical knowing.

First, historians are interested in providing conceptualizations and factual descriptions of events and circumstances in the past. This effort is an answer to questions like these: “What happened? What was it like? What were some of the circumstances and happenings that took place during this period in the past?” Sometimes this means simply reconstructing a complicated story from scattered historical sources – for example, in constructing a narrative of the Spanish Civil War or attempting to sort out the series of events that culminated in the Detroit race riot / uprising of 1967. But sometimes it means engaging in substantial conceptual work in order to arrive at a vocabulary in terms of which to characterize “what happened.” Concerning the disorders of 1967 in Detroit: was this a riot or an uprising? How did participants and contemporaries think about it?

Second, historians often want to answer “why” questions: “Why did this event occur? What were the conditions and forces that brought it about?” This body of questions invites the historian to provide an explanation of the event or pattern he or she describes: the rise of fascism in Spain, the collapse of the Ottoman Empire, the great global financial crisis of 2008. And providing an explanation requires, most basically, an account of the causal mechanisms, background circumstances, and human choices that brought the outcome about. We explain an historical outcome when we identify the social causes, forces, and actions that brought it about, or made it more likely.

Third, and related to the previous point, historians are sometimes interested in answering a “how” question: “How did this outcome come to pass? What were the processes through which the outcome occurred?” How did the Prussian Army succeed in defeating the superior French Army in 1870? How did Truman manage to defeat Dewey in the 1948 US election? Here the pragmatic interest of the historian’s account derives from the antecedent unlikelihood of the event in question: how was this outcome possible? This too is an explanation; but it is an answer to a “how possible” question rather than a “why necessary” question.

Fourth, often historians are interested in piecing together the human meanings and intentions that underlie a given complex series of historical actions. They want to help the reader make sense of the historical events and actions, in terms of the thoughts, motives, and states of mind of the participants. For example: Why did Napoleon III carelessly provoke Prussia into war in 1870 (David Baguley, Napoleon III and His Regime: An Extravaganza)? Why has the Burmese junta dictatorship been so intransigent in its treatment of democracy activist Aung San Suu Kyi (Nicholas Farrelly, Burma's General Objectives)? Why did northern cities in the United States develop such profound patterns of racial segregation after World War II (Thomas Sugrue, The Origins of the Urban Crisis: Race and Inequality in Postwar Detroit)? Why did young men in the 1910s and 1920s prefer dangerous, noisy internal combustion automobiles to safe, quiet electric vehicles (Gijs Moms, The Electric Vehicle: Technology and Expectations in the Automobile Age)? Answers to questions like these require interpretation of actions, meanings, and intentions – of individual actors and of cultures that characterize whole populations. This aspect of historical thinking is “hermeneutic,” interpretive, and ethnographic.

And, of course, the historian faces an even more basic intellectual task: that of discovering and making sense of the archival information that exists about a given event or time in the past. Historical data do not speak for themselves; archives are incomplete, ambiguous, contradictory, and confusing. The historian needs to interpret individual pieces of evidence; and he/she needs to be able to somehow fit the mass of evidence into a coherent and truthful story. So complex events like the Spanish Civil War present the historian with an ocean of historical traces in repositories and archives all over the world; these collections sometimes reflect specific efforts at concealment by the powerful (for example, Franco's efforts to conceal all evidence of mass killings of Republicans after the end of fighting); and the historian's task is to find ways of using this body of evidence to discern some of the truth about the past.

The photo above gives a small glimpse of the challenges the historian faces. In order to interpret the photo as "a moment in the Spanish Civil War", the historian needs to provide a careful interpretation of its provenance and content. Who are these soldiers? Where is the fighting taking place? Was the photo staged? What, if anything, does it tell us about the social conflicts and military circumstances of the Civil War? How can it help the reader of history to come to a better understanding of the experience of civil war?

In short, historians conceptualize, describe, contextualize, explain, and interpret events and circumstances of the past. They sketch out ways of representing the complex activities and events of the past; they explain and interpret significant outcomes; and they base their findings on evidence in the present that bears upon facts about the past. Their accounts need to be grounded on the evidence of the available historical record; and their explanations and interpretations require that the historian arrive at hypotheses about social causes and cultural meanings. Historians can turn to the best available theories in the social and behavioral sciences to arrive at theories about causal mechanisms and human behavior; so historical statements depend ultimately upon factual inquiry and theoretical reasoning. Ultimately, the historian's task is to shed light on the what, why, and how of the past, based on inferences from the evidence of the present.

The historian's task

What are the intellectual tasks that define the historian's work? In a sense, this question is best answered on the basis of a careful reading of some good historians. But it will be useful to offer several simple answers to this foundational question as a sort of conceptual map of the nature of historical knowing.

First, historians are interested in providing conceptualizations and factual descriptions of events and circumstances in the past. This effort is an answer to questions like these: “What happened? What was it like? What were some of the circumstances and happenings that took place during this period in the past?” Sometimes this means simply reconstructing a complicated story from scattered historical sources – for example, in constructing a narrative of the Spanish Civil War or attempting to sort out the series of events that culminated in the Detroit race riot / uprising of 1967. But sometimes it means engaging in substantial conceptual work in order to arrive at a vocabulary in terms of which to characterize “what happened.” Concerning the disorders of 1967 in Detroit: was this a riot or an uprising? How did participants and contemporaries think about it?

Second, historians often want to answer “why” questions: “Why did this event occur? What were the conditions and forces that brought it about?” This body of questions invites the historian to provide an explanation of the event or pattern he or she describes: the rise of fascism in Spain, the collapse of the Ottoman Empire, the great global financial crisis of 2008. And providing an explanation requires, most basically, an account of the causal mechanisms, background circumstances, and human choices that brought the outcome about. We explain an historical outcome when we identify the social causes, forces, and actions that brought it about, or made it more likely.

Third, and related to the previous point, historians are sometimes interested in answering a “how” question: “How did this outcome come to pass? What were the processes through which the outcome occurred?” How did the Prussian Army succeed in defeating the superior French Army in 1870? How did Truman manage to defeat Dewey in the 1948 US election? Here the pragmatic interest of the historian’s account derives from the antecedent unlikelihood of the event in question: how was this outcome possible? This too is an explanation; but it is an answer to a “how possible” question rather than a “why necessary” question.

Fourth, often historians are interested in piecing together the human meanings and intentions that underlie a given complex series of historical actions. They want to help the reader make sense of the historical events and actions, in terms of the thoughts, motives, and states of mind of the participants. For example: Why did Napoleon III carelessly provoke Prussia into war in 1870 (David Baguley, Napoleon III and His Regime: An Extravaganza)? Why has the Burmese junta dictatorship been so intransigent in its treatment of democracy activist Aung San Suu Kyi (Nicholas Farrelly, Burma's General Objectives)? Why did northern cities in the United States develop such profound patterns of racial segregation after World War II (Thomas Sugrue, The Origins of the Urban Crisis: Race and Inequality in Postwar Detroit)? Why did young men in the 1910s and 1920s prefer dangerous, noisy internal combustion automobiles to safe, quiet electric vehicles (Gijs Moms, The Electric Vehicle: Technology and Expectations in the Automobile Age)? Answers to questions like these require interpretation of actions, meanings, and intentions – of individual actors and of cultures that characterize whole populations. This aspect of historical thinking is “hermeneutic,” interpretive, and ethnographic.

And, of course, the historian faces an even more basic intellectual task: that of discovering and making sense of the archival information that exists about a given event or time in the past. Historical data do not speak for themselves; archives are incomplete, ambiguous, contradictory, and confusing. The historian needs to interpret individual pieces of evidence; and he/she needs to be able to somehow fit the mass of evidence into a coherent and truthful story. So complex events like the Spanish Civil War present the historian with an ocean of historical traces in repositories and archives all over the world; these collections sometimes reflect specific efforts at concealment by the powerful (for example, Franco's efforts to conceal all evidence of mass killings of Republicans after the end of fighting); and the historian's task is to find ways of using this body of evidence to discern some of the truth about the past.

The photo above gives a small glimpse of the challenges the historian faces. In order to interpret the photo as "a moment in the Spanish Civil War", the historian needs to provide a careful interpretation of its provenance and content. Who are these soldiers? Where is the fighting taking place? Was the photo staged? What, if anything, does it tell us about the social conflicts and military circumstances of the Civil War? How can it help the reader of history to come to a better understanding of the experience of civil war?

In short, historians conceptualize, describe, contextualize, explain, and interpret events and circumstances of the past. They sketch out ways of representing the complex activities and events of the past; they explain and interpret significant outcomes; and they base their findings on evidence in the present that bears upon facts about the past. Their accounts need to be grounded on the evidence of the available historical record; and their explanations and interpretations require that the historian arrive at hypotheses about social causes and cultural meanings. Historians can turn to the best available theories in the social and behavioral sciences to arrive at theories about causal mechanisms and human behavior; so historical statements depend ultimately upon factual inquiry and theoretical reasoning. Ultimately, the historian's task is to shed light on the what, why, and how of the past, based on inferences from the evidence of the present.

The historian's task

What are the intellectual tasks that define the historian's work? In a sense, this question is best answered on the basis of a careful reading of some good historians. But it will be useful to offer several simple answers to this foundational question as a sort of conceptual map of the nature of historical knowing.

First, historians are interested in providing conceptualizations and factual descriptions of events and circumstances in the past. This effort is an answer to questions like these: “What happened? What was it like? What were some of the circumstances and happenings that took place during this period in the past?” Sometimes this means simply reconstructing a complicated story from scattered historical sources – for example, in constructing a narrative of the Spanish Civil War or attempting to sort out the series of events that culminated in the Detroit race riot / uprising of 1967. But sometimes it means engaging in substantial conceptual work in order to arrive at a vocabulary in terms of which to characterize “what happened.” Concerning the disorders of 1967 in Detroit: was this a riot or an uprising? How did participants and contemporaries think about it?

Second, historians often want to answer “why” questions: “Why did this event occur? What were the conditions and forces that brought it about?” This body of questions invites the historian to provide an explanation of the event or pattern he or she describes: the rise of fascism in Spain, the collapse of the Ottoman Empire, the great global financial crisis of 2008. And providing an explanation requires, most basically, an account of the causal mechanisms, background circumstances, and human choices that brought the outcome about. We explain an historical outcome when we identify the social causes, forces, and actions that brought it about, or made it more likely.

Third, and related to the previous point, historians are sometimes interested in answering a “how” question: “How did this outcome come to pass? What were the processes through which the outcome occurred?” How did the Prussian Army succeed in defeating the superior French Army in 1870? How did Truman manage to defeat Dewey in the 1948 US election? Here the pragmatic interest of the historian’s account derives from the antecedent unlikelihood of the event in question: how was this outcome possible? This too is an explanation; but it is an answer to a “how possible” question rather than a “why necessary” question.

Fourth, often historians are interested in piecing together the human meanings and intentions that underlie a given complex series of historical actions. They want to help the reader make sense of the historical events and actions, in terms of the thoughts, motives, and states of mind of the participants. For example: Why did Napoleon III carelessly provoke Prussia into war in 1870 (David Baguley, Napoleon III and His Regime: An Extravaganza)? Why has the Burmese junta dictatorship been so intransigent in its treatment of democracy activist Aung San Suu Kyi (Nicholas Farrelly, Burma's General Objectives)? Why did northern cities in the United States develop such profound patterns of racial segregation after World War II (Thomas Sugrue, The Origins of the Urban Crisis: Race and Inequality in Postwar Detroit)? Why did young men in the 1910s and 1920s prefer dangerous, noisy internal combustion automobiles to safe, quiet electric vehicles (Gijs Moms, The Electric Vehicle: Technology and Expectations in the Automobile Age)? Answers to questions like these require interpretation of actions, meanings, and intentions – of individual actors and of cultures that characterize whole populations. This aspect of historical thinking is “hermeneutic,” interpretive, and ethnographic.

And, of course, the historian faces an even more basic intellectual task: that of discovering and making sense of the archival information that exists about a given event or time in the past. Historical data do not speak for themselves; archives are incomplete, ambiguous, contradictory, and confusing. The historian needs to interpret individual pieces of evidence; and he/she needs to be able to somehow fit the mass of evidence into a coherent and truthful story. So complex events like the Spanish Civil War present the historian with an ocean of historical traces in repositories and archives all over the world; these collections sometimes reflect specific efforts at concealment by the powerful (for example, Franco's efforts to conceal all evidence of mass killings of Republicans after the end of fighting); and the historian's task is to find ways of using this body of evidence to discern some of the truth about the past.

The photo above gives a small glimpse of the challenges the historian faces. In order to interpret the photo as "a moment in the Spanish Civil War", the historian needs to provide a careful interpretation of its provenance and content. Who are these soldiers? Where is the fighting taking place? Was the photo staged? What, if anything, does it tell us about the social conflicts and military circumstances of the Civil War? How can it help the reader of history to come to a better understanding of the experience of civil war?

In short, historians conceptualize, describe, contextualize, explain, and interpret events and circumstances of the past. They sketch out ways of representing the complex activities and events of the past; they explain and interpret significant outcomes; and they base their findings on evidence in the present that bears upon facts about the past. Their accounts need to be grounded on the evidence of the available historical record; and their explanations and interpretations require that the historian arrive at hypotheses about social causes and cultural meanings. Historians can turn to the best available theories in the social and behavioral sciences to arrive at theories about causal mechanisms and human behavior; so historical statements depend ultimately upon factual inquiry and theoretical reasoning. Ultimately, the historian's task is to shed light on the what, why, and how of the past, based on inferences from the evidence of the present.

MacIntyre and Taylor on the human sciences

There is a conception of social explanation that provides a common starting point for quite a few theories and approaches in a range of the social sciences. I'll call it the "rational, material, structural" paradigm. It looks at the task of social science as the discovery of explanations of social outcomes; and it brings an intellectual framework of purposive rationality, material social factors, and social structures exercising causal influence on individuals as the foundation of social explanation. Rational choice theory, Marxian economics, historical sociology, and the new institutionalism can each be described in roughly these terms: show how a given set of outcomes are the result of purposive choices by individuals within a given set of material and structural circumstances. These approaches depend on a highly abstracted description of human agency, with little attention to deep and important differences in agency across social, cultural, and historical settings. "Agents like these, in structures like those, produce outcomes like these." This is a powerful and compelling approach; so it is all the more important to recognize that there are other possible starting points for the social sciences.

In fact, this approach to social explanation stands in broad opposition to another important approach, the interpretivist approach. On the interpretive approach, the task of the human sciences is to understand human activities, actions, and social formations as unique historical expressions of human meaning and intention. Individuals are unique, and there are profound differences of mentality across historical settings. This "hermeneutic" approach is not interested in discovering causes of social outcomes, but instead in piecing together an interpretation of the meanings of a social outcome or production. This contrast between causal explanation and hermeneutic interpretation ultimately constitutes a major divide between styles of social thinking. (Yvonne Sherratt provides a very fine introduction to this approach; Continental Philosophy of Social Science.) Max Ringer, one of Weber's most insightful intellectual biographers, places this break at the center of Weber's development in the early twentieth century (Max Weber's Methodology: The Unification of the Cultural and Social Sciences). (See earlier discussions of two strands of thought in the philosophy of social science; link, link, link.)

On this approach, all social action is framed by a meaningful social world. To understand, explain, or predict patterns of human behavior, we must first penetrate the social world of the individual in historical concreteness: the meanings he/she attributes to her environment (social and natural); the values and goals she possesses; the choices she perceives; and the way she interprets other individuals' social action. Only then will we be able to analyze, interpret, and explain her behavior. But now the individual's action is thickly described in terms of the meanings, values, assumptions, and interpretive principles she employs in her own understanding of her world.

Most of the arguments in support of interpretive approaches to the human sciences have come from the continental tradition -- Dilthey, Ricoeur, Gadamer, Habermas. So let's consider two philosophers who have made original contributions to the historicist and interpretivist side of the debate, within the Anglo-American tradition. Consider first Alasdair MacIntyre's discussion of the possibility of comparative theories of politics ("Is a science of comparative politics possible?" in Alan Ryan, ed., The Philosophy of Social Explanation). MacIntyre poses the problem in these terms: "I shall be solely interested in the project of a political science, of the formulation of cross cultural, law-like causal generalizations which may in turn be explained by theories" (172). And roughly, MacIntyre's answer is that a science of comparative politics is not possible, because actions, structures, and practices are not directly comparable across historical settings. The Fiat strike pictured above is similar in some ways to a strike against General Motors or Land Rover in different times and places; but the political cultures, symbolic understandings, and modes of behavior of Italian, American, and British auto workers are profoundly different.

MacIntyre places great emphasis on the densely interlinked quality of local concepts, social practices, norms, and self ascriptions, with the implication that each practice or attitude is inextricably dependent on an ensemble of practices, beliefs, norms, concepts, and the like that are culturally specific and, in their aggregate, unique. Thus MacIntyre holds that as simple a question as this: "Do Britons and Italians differ in the level of pride they take in civic institutions?" is unanswerable because of cultural differences in the concept of pride (172-73).

Hence we cannot hope to compare an Italian's attitude to his government's acts with an Englishman's in respect of the pride each takes; any comparison would have to begin from the different range of virtues and emotions incorporated in the different social institutions. Once again the project of comparing attitudes independently of institutions and practices encounters difficulties. (173-74)

These points pertain to difficulties in identifying political attitudes cross-culturally. Could it be said, though, that political institutions and practices are less problematic? MacIntyre argues that political institutions and practices are themselves very much dependent on local political attitudes, so it isn't possible to provide an a-historical specification of a set of practices and institutions:

It is an obvious truism that no institution or practice is what it is, or does what it does, independently of what anyone whatsoever thinks or feels about it. For institutions and practices are always partially, even if to differing degrees, constituted by what certain people think and feel about them. (174)

So interpretation is mandatory -- for institutions no less than for individual behavior. So MacIntyre's position is disjunctive. He writes:

My thesis . . . can now be stated distinctively: either such generalizations about institutions will necessarily lack the kind of confirmation they require or they will be consequences of true generalizations about human rationality and not part of a specifically political science. (178)

Now turn to Charles Taylor in another pivotal essay, "Interpretation and the sciences of man" (Philosophical Papers: Volume 2, Philosophy and the Human Sciences). Taylor's central point is that the subject matter of the human sciences -- human actions and social arrangements -- always require interpretation. It is necessary for the observer to attribute meaning and intention to the action -- features that cannot be directly observed. He asks whether there are "brute data" in the human sciences -- facts that are wholly observational and require no "interpretation" on the part of the scientist (19)? Taylor thinks not; and therefore the human sciences require interpretation from the most basic description of data to the fullest historical description.

To be a full human agent, to be a person or a self in the ordinary meaning, is to exist in a space defined by distinctions of worth. . . . My claim is that this is not just a contingent fact about human agents, but is essential to what we would understand and recognize as full, normal human agency. (3)

Thus, human behaviour seen as action of agents who desire and are moved, who have goals and aspirations, necessarily offers a purchase for descriptions in terms of meaning what I have called "experiential meaning". (27)

One way of putting Taylor's critique of "brute data" is the idea that human actions must be characterized intentionally (34 ff.) in terms of the intentions and self understanding of the agent and that such factors can only be interpreted, not directly observed.

My thesis amounts to an alternative statement of the main proposition of interpretive social science, that an adequate account of human action must make the agents more understandable. On this view, it cannot be a sufficient objective of social theory that it just predict . . . the actual pattern of social or historical events. . . . A satisfactory explanation must also make sense of the agents. (116)

Taylor's discussion of ethnocentricity is important, since it provides a way out of the hermeneutic circle. He believes it is possible to interpret the alien culture without simply covertly projecting our categories onto the alien; and this we do through meaningful conversation with the other (124-25). This is a point that seems to converge with Habermas's notion of communicative action (The Theory of Communicative Action, Volume 1: Reason and the Rationalization of Society).

It isn't entirely clear how radically Taylor intends his argument. Is it that all social science requires interpretation, or that interpretation is a legitimate method among several? Is there room for generalizations and theories within Taylor's interpretive philosophy of social science? What should social science look like on Taylor's approach? Will it offer explanations, generalizations, models; or will it be simply a collection of concrete hermeneutical readings of different societies? Does causation have a place in such a science? (He says more about the role of theory in "Neutrality in political science"; Philosophical Papers: Volume 2, Philosophy and the Human Sciences, 63.)

Both MacIntyre and Taylor are highlighting an important point: human actions reflect purposes, beliefs, emotions, meanings, and solidarities that cannot be directly observed. And human practices are composed of the actions and thoughts of individual human actors -- with exactly this range of hermeneutic possibilities and indeterminacies. So the explanation of human action and practice presupposes some level of interpretation. There is no formula, no universal key to human agency, that permits us to "code" human behavior without the trouble of interpretation.

This said, I would still judge that the "rational, material, structural" paradigm with which we began has plenty of scope for application. For some purposes and in many historical settings, it is possible to describe the actor's state of mind in more abstract terms: he/she cares about X, Y, Z; she believes A, B, C; and she reasons that W is a good way of achieving a satisfactory level of attainment of the goods she aims at. In other words, purposive agency, within an account of the opportunities and constraints that surround action, provides a versatile basis for social action. And this is enough for much of political science, Marxist materialism, and the new institutionalism.

MacIntyre and Taylor on the human sciences

There is a conception of social explanation that provides a common starting point for quite a few theories and approaches in a range of the social sciences. I'll call it the "rational, material, structural" paradigm. It looks at the task of social science as the discovery of explanations of social outcomes; and it brings an intellectual framework of purposive rationality, material social factors, and social structures exercising causal influence on individuals as the foundation of social explanation. Rational choice theory, Marxian economics, historical sociology, and the new institutionalism can each be described in roughly these terms: show how a given set of outcomes are the result of purposive choices by individuals within a given set of material and structural circumstances. These approaches depend on a highly abstracted description of human agency, with little attention to deep and important differences in agency across social, cultural, and historical settings. "Agents like these, in structures like those, produce outcomes like these." This is a powerful and compelling approach; so it is all the more important to recognize that there are other possible starting points for the social sciences.

In fact, this approach to social explanation stands in broad opposition to another important approach, the interpretivist approach. On the interpretive approach, the task of the human sciences is to understand human activities, actions, and social formations as unique historical expressions of human meaning and intention. Individuals are unique, and there are profound differences of mentality across historical settings. This "hermeneutic" approach is not interested in discovering causes of social outcomes, but instead in piecing together an interpretation of the meanings of a social outcome or production. This contrast between causal explanation and hermeneutic interpretation ultimately constitutes a major divide between styles of social thinking. (Yvonne Sherratt provides a very fine introduction to this approach; Continental Philosophy of Social Science.) Max Ringer, one of Weber's most insightful intellectual biographers, places this break at the center of Weber's development in the early twentieth century (Max Weber's Methodology: The Unification of the Cultural and Social Sciences). (See earlier discussions of two strands of thought in the philosophy of social science; link, link, link.)

On this approach, all social action is framed by a meaningful social world. To understand, explain, or predict patterns of human behavior, we must first penetrate the social world of the individual in historical concreteness: the meanings he/she attributes to her environment (social and natural); the values and goals she possesses; the choices she perceives; and the way she interprets other individuals' social action. Only then will we be able to analyze, interpret, and explain her behavior. But now the individual's action is thickly described in terms of the meanings, values, assumptions, and interpretive principles she employs in her own understanding of her world.

Most of the arguments in support of interpretive approaches to the human sciences have come from the continental tradition -- Dilthey, Ricoeur, Gadamer, Habermas. So let's consider two philosophers who have made original contributions to the historicist and interpretivist side of the debate, within the Anglo-American tradition. Consider first Alasdair MacIntyre's discussion of the possibility of comparative theories of politics ("Is a science of comparative politics possible?" in Alan Ryan, ed., The Philosophy of Social Explanation). MacIntyre poses the problem in these terms: "I shall be solely interested in the project of a political science, of the formulation of cross cultural, law-like causal generalizations which may in turn be explained by theories" (172). And roughly, MacIntyre's answer is that a science of comparative politics is not possible, because actions, structures, and practices are not directly comparable across historical settings. The Fiat strike pictured above is similar in some ways to a strike against General Motors or Land Rover in different times and places; but the political cultures, symbolic understandings, and modes of behavior of Italian, American, and British auto workers are profoundly different.

MacIntyre places great emphasis on the densely interlinked quality of local concepts, social practices, norms, and self ascriptions, with the implication that each practice or attitude is inextricably dependent on an ensemble of practices, beliefs, norms, concepts, and the like that are culturally specific and, in their aggregate, unique. Thus MacIntyre holds that as simple a question as this: "Do Britons and Italians differ in the level of pride they take in civic institutions?" is unanswerable because of cultural differences in the concept of pride (172-73).

Hence we cannot hope to compare an Italian's attitude to his government's acts with an Englishman's in respect of the pride each takes; any comparison would have to begin from the different range of virtues and emotions incorporated in the different social institutions. Once again the project of comparing attitudes independently of institutions and practices encounters difficulties. (173-74)

These points pertain to difficulties in identifying political attitudes cross-culturally. Could it be said, though, that political institutions and practices are less problematic? MacIntyre argues that political institutions and practices are themselves very much dependent on local political attitudes, so it isn't possible to provide an a-historical specification of a set of practices and institutions:

It is an obvious truism that no institution or practice is what it is, or does what it does, independently of what anyone whatsoever thinks or feels about it. For institutions and practices are always partially, even if to differing degrees, constituted by what certain people think and feel about them. (174)

So interpretation is mandatory -- for institutions no less than for individual behavior. So MacIntyre's position is disjunctive. He writes:

My thesis . . . can now be stated distinctively: either such generalizations about institutions will necessarily lack the kind of confirmation they require or they will be consequences of true generalizations about human rationality and not part of a specifically political science. (178)

Now turn to Charles Taylor in another pivotal essay, "Interpretation and the sciences of man" (Philosophical Papers: Volume 2, Philosophy and the Human Sciences). Taylor's central point is that the subject matter of the human sciences -- human actions and social arrangements -- always require interpretation. It is necessary for the observer to attribute meaning and intention to the action -- features that cannot be directly observed. He asks whether there are "brute data" in the human sciences -- facts that are wholly observational and require no "interpretation" on the part of the scientist (19)? Taylor thinks not; and therefore the human sciences require interpretation from the most basic description of data to the fullest historical description.

To be a full human agent, to be a person or a self in the ordinary meaning, is to exist in a space defined by distinctions of worth. . . . My claim is that this is not just a contingent fact about human agents, but is essential to what we would understand and recognize as full, normal human agency. (3)

Thus, human behaviour seen as action of agents who desire and are moved, who have goals and aspirations, necessarily offers a purchase for descriptions in terms of meaning what I have called "experiential meaning". (27)

One way of putting Taylor's critique of "brute data" is the idea that human actions must be characterized intentionally (34 ff.) in terms of the intentions and self understanding of the agent and that such factors can only be interpreted, not directly observed.

My thesis amounts to an alternative statement of the main proposition of interpretive social science, that an adequate account of human action must make the agents more understandable. On this view, it cannot be a sufficient objective of social theory that it just predict . . . the actual pattern of social or historical events. . . . A satisfactory explanation must also make sense of the agents. (116)

Taylor's discussion of ethnocentricity is important, since it provides a way out of the hermeneutic circle. He believes it is possible to interpret the alien culture without simply covertly projecting our categories onto the alien; and this we do through meaningful conversation with the other (124-25). This is a point that seems to converge with Habermas's notion of communicative action (The Theory of Communicative Action, Volume 1: Reason and the Rationalization of Society).

It isn't entirely clear how radically Taylor intends his argument. Is it that all social science requires interpretation, or that interpretation is a legitimate method among several? Is there room for generalizations and theories within Taylor's interpretive philosophy of social science? What should social science look like on Taylor's approach? Will it offer explanations, generalizations, models; or will it be simply a collection of concrete hermeneutical readings of different societies? Does causation have a place in such a science? (He says more about the role of theory in "Neutrality in political science"; Philosophical Papers: Volume 2, Philosophy and the Human Sciences, 63.)

Both MacIntyre and Taylor are highlighting an important point: human actions reflect purposes, beliefs, emotions, meanings, and solidarities that cannot be directly observed. And human practices are composed of the actions and thoughts of individual human actors -- with exactly this range of hermeneutic possibilities and indeterminacies. So the explanation of human action and practice presupposes some level of interpretation. There is no formula, no universal key to human agency, that permits us to "code" human behavior without the trouble of interpretation.

This said, I would still judge that the "rational, material, structural" paradigm with which we began has plenty of scope for application. For some purposes and in many historical settings, it is possible to describe the actor's state of mind in more abstract terms: he/she cares about X, Y, Z; she believes A, B, C; and she reasons that W is a good way of achieving a satisfactory level of attainment of the goods she aims at. In other words, purposive agency, within an account of the opportunities and constraints that surround action, provides a versatile basis for social action. And this is enough for much of political science, Marxist materialism, and the new institutionalism.