Saturday, December 20, 2008

A diagram of class structure

Consider this schematic representation of several variables defined by circumstances of work, income, and occupation. The diagram proposes a classification of income earners according to a series of distinctions about their economic situation.


The diagram captures a handful of separate dimensions of a person's economic location -- one's class. These include:
  • source of income (profits, wages, partner's shares)
  • level of skill and education
  • function as manager or staff
  • income level (high, medium, low)
  • sector of economy (manufacturing, service, agriculture)
These are important economic characteristics that serve to define a person's status, quality of life, and opportunities in American society. (All but income are designated in the dashed boxes on the diagram.)

We might hypothesize that the large groups that are defined by this diagram have the makings of a class: unskilled farm laborers; unskilled industrial workers; skilled salaried industrial professionals; skilled salaried professors, teachers, and librarians; professionals in firms with partner status and income; and owners of property. Moreover, we are led to ask whether there are likely to be linkages across sectors: are unskilled farm workers and factory workers likely to see themselves as members of a large class? Are salaried professionals in the industrial sector and the service sector likely to have affinity with each other? What about salaried accountants and their counterparts in partner-governed firms? What about salaried professors and temporary instructors?

Each of these categories of classification makes a difference in one's life circumstances. The source of income defines a basic set of interests for the members of each group; for example, owners of industrial firms have an economic interest in reducing labor costs, whereas wage and salaried workers have an interest in increasing salaries and benefits. The criterion of skill and education influences one's productivity and value to the employer; and it highlights an abstract social resource that one owns (specialized knowledge). The category of "manager/staff" defines the individual's power and influence within the workplace -- whether he/she is a "boss" or a "worker". The sector one works in makes a difference because it establishes a set of distinctive characteristics of the workplace (a factory is different from a factory farm), and it locates the individual's fortunes within a part of the economy that itself has specific interests and advantages. (More free trade is good for farmers because it boosts grain exports, but bad for industrial workers because it creates more competition around labor costs.)

It is also worth pointing out that the diagram provides a crude theory of income distribution: incomes are higher for more skilled workers, for executives, managers, and supervisors, and in more productive industries.

What the diagram leaves out are social characteristics like race, ethnicity, or gender, that substantially influence where one will end up within this structure. And it is intriguing to consider whether there might be a similar diagram that plots out the workings of race, immigration status, gender, or ethnicity in life outcomes.

A diagram of class structure

Consider this schematic representation of several variables defined by circumstances of work, income, and occupation. The diagram proposes a classification of income earners according to a series of distinctions about their economic situation.


The diagram captures a handful of separate dimensions of a person's economic location -- one's class. These include:
  • source of income (profits, wages, partner's shares)
  • level of skill and education
  • function as manager or staff
  • income level (high, medium, low)
  • sector of economy (manufacturing, service, agriculture)
These are important economic characteristics that serve to define a person's status, quality of life, and opportunities in American society. (All but income are designated in the dashed boxes on the diagram.)

We might hypothesize that the large groups that are defined by this diagram have the makings of a class: unskilled farm laborers; unskilled industrial workers; skilled salaried industrial professionals; skilled salaried professors, teachers, and librarians; professionals in firms with partner status and income; and owners of property. Moreover, we are led to ask whether there are likely to be linkages across sectors: are unskilled farm workers and factory workers likely to see themselves as members of a large class? Are salaried professionals in the industrial sector and the service sector likely to have affinity with each other? What about salaried accountants and their counterparts in partner-governed firms? What about salaried professors and temporary instructors?

Each of these categories of classification makes a difference in one's life circumstances. The source of income defines a basic set of interests for the members of each group; for example, owners of industrial firms have an economic interest in reducing labor costs, whereas wage and salaried workers have an interest in increasing salaries and benefits. The criterion of skill and education influences one's productivity and value to the employer; and it highlights an abstract social resource that one owns (specialized knowledge). The category of "manager/staff" defines the individual's power and influence within the workplace -- whether he/she is a "boss" or a "worker". The sector one works in makes a difference because it establishes a set of distinctive characteristics of the workplace (a factory is different from a factory farm), and it locates the individual's fortunes within a part of the economy that itself has specific interests and advantages. (More free trade is good for farmers because it boosts grain exports, but bad for industrial workers because it creates more competition around labor costs.)

It is also worth pointing out that the diagram provides a crude theory of income distribution: incomes are higher for more skilled workers, for executives, managers, and supervisors, and in more productive industries.

What the diagram leaves out are social characteristics like race, ethnicity, or gender, that substantially influence where one will end up within this structure. And it is intriguing to consider whether there might be a similar diagram that plots out the workings of race, immigration status, gender, or ethnicity in life outcomes.

A diagram of class structure

Consider this schematic representation of several variables defined by circumstances of work, income, and occupation. The diagram proposes a classification of income earners according to a series of distinctions about their economic situation.


The diagram captures a handful of separate dimensions of a person's economic location -- one's class. These include:
  • source of income (profits, wages, partner's shares)
  • level of skill and education
  • function as manager or staff
  • income level (high, medium, low)
  • sector of economy (manufacturing, service, agriculture)
These are important economic characteristics that serve to define a person's status, quality of life, and opportunities in American society. (All but income are designated in the dashed boxes on the diagram.)

We might hypothesize that the large groups that are defined by this diagram have the makings of a class: unskilled farm laborers; unskilled industrial workers; skilled salaried industrial professionals; skilled salaried professors, teachers, and librarians; professionals in firms with partner status and income; and owners of property. Moreover, we are led to ask whether there are likely to be linkages across sectors: are unskilled farm workers and factory workers likely to see themselves as members of a large class? Are salaried professionals in the industrial sector and the service sector likely to have affinity with each other? What about salaried accountants and their counterparts in partner-governed firms? What about salaried professors and temporary instructors?

Each of these categories of classification makes a difference in one's life circumstances. The source of income defines a basic set of interests for the members of each group; for example, owners of industrial firms have an economic interest in reducing labor costs, whereas wage and salaried workers have an interest in increasing salaries and benefits. The criterion of skill and education influences one's productivity and value to the employer; and it highlights an abstract social resource that one owns (specialized knowledge). The category of "manager/staff" defines the individual's power and influence within the workplace -- whether he/she is a "boss" or a "worker". The sector one works in makes a difference because it establishes a set of distinctive characteristics of the workplace (a factory is different from a factory farm), and it locates the individual's fortunes within a part of the economy that itself has specific interests and advantages. (More free trade is good for farmers because it boosts grain exports, but bad for industrial workers because it creates more competition around labor costs.)

It is also worth pointing out that the diagram provides a crude theory of income distribution: incomes are higher for more skilled workers, for executives, managers, and supervisors, and in more productive industries.

What the diagram leaves out are social characteristics like race, ethnicity, or gender, that substantially influence where one will end up within this structure. And it is intriguing to consider whether there might be a similar diagram that plots out the workings of race, immigration status, gender, or ethnicity in life outcomes.

Friday, December 19, 2008

Causal difference

Source: Federica Russo, Causality and Causal Modelling in the Social Sciences, p. 164

I've recently read a very interesting recent book by Federica Russo, Causality and Causal Modelling in the Social Sciences: Measuring Variations (Methodos Series) on the philosophical issues that arise in causal reasoning about social phenomena. Russo is obviously a talented and dedicated philosopher, and the book is a highly interesting contribution.

Explanation is at the center of scientific research, and explanation almost always involves the discovery of causal relations among factors, conditions, or events. This is true in the social sciences no less than in the natural sciences. But social causes look quite a bit different from causes of natural phenomena. They result from the choices and actions of numerous individuals rather than fixed natural laws, and the causal pathways that link antecedents to consequents are less exact than those linking gas leaks to explosions. Here as elsewhere, the foundational issues are different in the social sciences; so a central challenge for the philosophy of social science is to give a good, compelling account of causal reasoning about social phenomena that does justice to the research problems faced by social scientists. Federica Russo has done so in this book. The book focuses on probabilistic causation and causal modeling, and Russo offers a rigorous and accessible treatment of the full range of current debates. Her central goal is to shed more light on the methods of causal modeling, and she succeeds admirably in this ambition. Causality and Causal Modelling in the Social Sciences makes an important and original contribution.

Her approach to problems in the methodology and philosophy of social science is what she calls the “bottom-up” approach. She works from careful analysis of specific examples of social science reasoning about causation, and works upward to more general analytical findings about causal reasoning as it actually works in the hands of skilled social scientists. She uses five concrete case studies as a vehicle for teasing out the logic of causal inference that is at work: smoking and lung cancer, mother's education and child survival, health and wealth in a population, farmers' migration patterns, and factors causing job satisfaction. She looks at the causal arguments advanced in studies in each of these areas as a way of discovering some of the fundamental logical features of causal inference. The examples are drawn from a wider range of the social and behavioral sciences than is usually the case -- demography, public health, and migration, for example. Her insight is that we can learn a great deal about social science research by looking at good examples of empirical and theoretical reasoning about social changes. I think this is exactly right: it is much better to discover the problems that percolate out of the practice of social inquiry rather than imposing a framework of philosophical expectations onto social science practice.

Russo focuses her attention on the problem of explaining variation: what causes the variation of a certain characteristic over a population of individuals or events. This focus on “variation” rather than “regularity” is very convincing; it provides an appropriate and insightful alternative approach to framing problems for social science research and explanation. She offers a very adept discussion and interpretation of the meaning of causal statements and causal reasoning in the social sciences. The book provides a rigorous contribution to the large literature on the logic of quantitative reasoning about causes of population characteristics. Her case studies are well selected and well done. The book is founded on a deep and rigorous understanding of the most recent philosophical and methodological work on causal modeling.

The author does a very good job of positioning her understanding of the meaning of causal modeling and causal judgments in the social sciences. She honestly addresses the position of “causal realism” and the view that good explanations depend on discovering or hypothesizing causal mechanisms underlying the phenomena. Her chapter on causal mechanisms is a significant contribution to this growing debate within the philosophy of social science; she correctly observes that we need to have greater precision in our discussion of what a causal mechanism is supposed to be.

The book will be of substantial interest to the social scientists, psychologists, demographers, and philosophers who are interested in current debates about the mathematics and philosophy of causal inference. Social scientists and philosophers such as Skyrms, Cartwright, Woodward, Pearl, and Lieberson have developed a very deep set of controversies and debates about the proper interpretation of causal inference. Russo’s book is a substantial contribution to these debates and will engage much the same audiences.

Causal difference

Source: Federica Russo, Causality and Causal Modelling in the Social Sciences, p. 164

I've recently read a very interesting recent book by Federica Russo, Causality and Causal Modelling in the Social Sciences: Measuring Variations (Methodos Series) on the philosophical issues that arise in causal reasoning about social phenomena. Russo is obviously a talented and dedicated philosopher, and the book is a highly interesting contribution.

Explanation is at the center of scientific research, and explanation almost always involves the discovery of causal relations among factors, conditions, or events. This is true in the social sciences no less than in the natural sciences. But social causes look quite a bit different from causes of natural phenomena. They result from the choices and actions of numerous individuals rather than fixed natural laws, and the causal pathways that link antecedents to consequents are less exact than those linking gas leaks to explosions. Here as elsewhere, the foundational issues are different in the social sciences; so a central challenge for the philosophy of social science is to give a good, compelling account of causal reasoning about social phenomena that does justice to the research problems faced by social scientists. Federica Russo has done so in this book. The book focuses on probabilistic causation and causal modeling, and Russo offers a rigorous and accessible treatment of the full range of current debates. Her central goal is to shed more light on the methods of causal modeling, and she succeeds admirably in this ambition. Causality and Causal Modelling in the Social Sciences makes an important and original contribution.

Her approach to problems in the methodology and philosophy of social science is what she calls the “bottom-up” approach. She works from careful analysis of specific examples of social science reasoning about causation, and works upward to more general analytical findings about causal reasoning as it actually works in the hands of skilled social scientists. She uses five concrete case studies as a vehicle for teasing out the logic of causal inference that is at work: smoking and lung cancer, mother's education and child survival, health and wealth in a population, farmers' migration patterns, and factors causing job satisfaction. She looks at the causal arguments advanced in studies in each of these areas as a way of discovering some of the fundamental logical features of causal inference. The examples are drawn from a wider range of the social and behavioral sciences than is usually the case -- demography, public health, and migration, for example. Her insight is that we can learn a great deal about social science research by looking at good examples of empirical and theoretical reasoning about social changes. I think this is exactly right: it is much better to discover the problems that percolate out of the practice of social inquiry rather than imposing a framework of philosophical expectations onto social science practice.

Russo focuses her attention on the problem of explaining variation: what causes the variation of a certain characteristic over a population of individuals or events. This focus on “variation” rather than “regularity” is very convincing; it provides an appropriate and insightful alternative approach to framing problems for social science research and explanation. She offers a very adept discussion and interpretation of the meaning of causal statements and causal reasoning in the social sciences. The book provides a rigorous contribution to the large literature on the logic of quantitative reasoning about causes of population characteristics. Her case studies are well selected and well done. The book is founded on a deep and rigorous understanding of the most recent philosophical and methodological work on causal modeling.

The author does a very good job of positioning her understanding of the meaning of causal modeling and causal judgments in the social sciences. She honestly addresses the position of “causal realism” and the view that good explanations depend on discovering or hypothesizing causal mechanisms underlying the phenomena. Her chapter on causal mechanisms is a significant contribution to this growing debate within the philosophy of social science; she correctly observes that we need to have greater precision in our discussion of what a causal mechanism is supposed to be.

The book will be of substantial interest to the social scientists, psychologists, demographers, and philosophers who are interested in current debates about the mathematics and philosophy of causal inference. Social scientists and philosophers such as Skyrms, Cartwright, Woodward, Pearl, and Lieberson have developed a very deep set of controversies and debates about the proper interpretation of causal inference. Russo’s book is a substantial contribution to these debates and will engage much the same audiences.

Causal difference

Source: Federica Russo, Causality and Causal Modelling in the Social Sciences, p. 164

I've recently read a very interesting recent book by Federica Russo, Causality and Causal Modelling in the Social Sciences: Measuring Variations (Methodos Series) on the philosophical issues that arise in causal reasoning about social phenomena. Russo is obviously a talented and dedicated philosopher, and the book is a highly interesting contribution.

Explanation is at the center of scientific research, and explanation almost always involves the discovery of causal relations among factors, conditions, or events. This is true in the social sciences no less than in the natural sciences. But social causes look quite a bit different from causes of natural phenomena. They result from the choices and actions of numerous individuals rather than fixed natural laws, and the causal pathways that link antecedents to consequents are less exact than those linking gas leaks to explosions. Here as elsewhere, the foundational issues are different in the social sciences; so a central challenge for the philosophy of social science is to give a good, compelling account of causal reasoning about social phenomena that does justice to the research problems faced by social scientists. Federica Russo has done so in this book. The book focuses on probabilistic causation and causal modeling, and Russo offers a rigorous and accessible treatment of the full range of current debates. Her central goal is to shed more light on the methods of causal modeling, and she succeeds admirably in this ambition. Causality and Causal Modelling in the Social Sciences makes an important and original contribution.

Her approach to problems in the methodology and philosophy of social science is what she calls the “bottom-up” approach. She works from careful analysis of specific examples of social science reasoning about causation, and works upward to more general analytical findings about causal reasoning as it actually works in the hands of skilled social scientists. She uses five concrete case studies as a vehicle for teasing out the logic of causal inference that is at work: smoking and lung cancer, mother's education and child survival, health and wealth in a population, farmers' migration patterns, and factors causing job satisfaction. She looks at the causal arguments advanced in studies in each of these areas as a way of discovering some of the fundamental logical features of causal inference. The examples are drawn from a wider range of the social and behavioral sciences than is usually the case -- demography, public health, and migration, for example. Her insight is that we can learn a great deal about social science research by looking at good examples of empirical and theoretical reasoning about social changes. I think this is exactly right: it is much better to discover the problems that percolate out of the practice of social inquiry rather than imposing a framework of philosophical expectations onto social science practice.

Russo focuses her attention on the problem of explaining variation: what causes the variation of a certain characteristic over a population of individuals or events. This focus on “variation” rather than “regularity” is very convincing; it provides an appropriate and insightful alternative approach to framing problems for social science research and explanation. She offers a very adept discussion and interpretation of the meaning of causal statements and causal reasoning in the social sciences. The book provides a rigorous contribution to the large literature on the logic of quantitative reasoning about causes of population characteristics. Her case studies are well selected and well done. The book is founded on a deep and rigorous understanding of the most recent philosophical and methodological work on causal modeling.

The author does a very good job of positioning her understanding of the meaning of causal modeling and causal judgments in the social sciences. She honestly addresses the position of “causal realism” and the view that good explanations depend on discovering or hypothesizing causal mechanisms underlying the phenomena. Her chapter on causal mechanisms is a significant contribution to this growing debate within the philosophy of social science; she correctly observes that we need to have greater precision in our discussion of what a causal mechanism is supposed to be.

The book will be of substantial interest to the social scientists, psychologists, demographers, and philosophers who are interested in current debates about the mathematics and philosophy of causal inference. Social scientists and philosophers such as Skyrms, Cartwright, Woodward, Pearl, and Lieberson have developed a very deep set of controversies and debates about the proper interpretation of causal inference. Russo’s book is a substantial contribution to these debates and will engage much the same audiences.

Thursday, December 18, 2008

The sociology of class


According to the traditional definition, a class is defined in relation to the broad structure of the property system. A group of people belong to the same class when they occupy the same position within the property system governing labor, physical assets, and perhaps intangible assets such as knowledge or money. This is a structural definition of the concept of class. In nineteenth-century France we might have classified the population into land owners, capital owners, wage laborers, artisans, professionals (accountants, architects), intellectuals, government officials, civil service workers, small merchants, smallholding farmers, tenant farmers, landless workers, and lumpenproletariat. And these groups can be roughly triangulated according to their ownership of three major elements: labor power, valuable skills and knowledge, and economic assets (land, property, wealth).

Another way of putting the point is to ask: where does the individual gain his/her income -- from the sale of labor time, from the sale or rent of physical assets, or from the sale or rent of expertise? Workers derive their income from the sale of their labor time; capitalists, financiers, and landlords derive their income from their ownership of physical and financial resources, and professionals, experts, and intellectuals derive their income from their possession of scarce expert knowledge and skills. (That's Pierre-Joseph Proudhon pictured above by Courbet, an intellectual in artisanal garb.)

So we might capture nineteenth-century French social reality from this point of view along these lines:

Of course, things can be classified according to any principle we might offer. So the value of a particular classification must be justified in terms of the explanatory or causal work that it does. The explanatory thrust of the theory of class goes along the lines of a sociological hypothesis: people who have a similar location within a system of property relations will also develop other important similarities: similarities of thought, values, style, behavior, and politics, for example. And so Marx believed that structurally-defined classes of people were likely to further develop a similar class consciousness -- a similar framework of thought in terms of which they understand the social forces around them; and he expected that classes of people would come to share a signature framework of political motivation -- a set of ideas, interpretations, and values that would motivate them to engage in collective action together.

This is where the substantive sociology of class comes in; in order to provide credibility for this set of expectations about class consciousness and political motivation, we need to have some ideas about the concrete sociological mechanisms that might plausibly lead from "common position in the property relations" to "common forms of consciousness and political motivation." And here there are quite a few things that can be said -- both by Marx in the 1850s and contemporary observers in the 2000s. First, a common position in the property relations often implies a number of concrete similarities of experience across individuals -- common features of the workplace, common neighborhoods in cities, common experiences in the system of schooling that is in place. These kinds of shared social positions suggest two things: first, a common process of shaping through which perceptions and motivations develop in each individual; and second, a common reality that individuals who experience these environments are likely to be able to perceive. It is highly plausible that a group of men and women who have spent their lives in a nineteenth century textile factory while living in a concentrated workers' slum, will have developed a similar consciousness and social style from the discipline and work processes of the factory and their shared social associations in their neighborhoods.

So miners in Wales or northern Michigan are exposed to similar work environments; similar firms and styles of management; and similar life outcomes that might be expected to create a "miner's consciousness" and a miner's political mentality. Smallholding wine growers across the landscape of nineteenth century France are exposed to similar natural, social, and economic circumstances that are likely to shape the development of their personalities and worldviews, that are in turn likely to create an ideal-typical "wine grower" who fairly accurately represents the worldview and behavior of wine growers.

Second, there is a fact that is more apparent today than it was to nineteenth-century sociological observers, that has to do with what we now understand about social networks and social capital. Common locations of work and residence make it highly likely that occupational groups (miners, architects, professors) will fall within sharply distinguished sets of social networks, and they will have access to different combinations of social capital (civic organizations, religious groups, secret societies). And the consciousness and political behavior of an individual is surely influenced in very profound ways by each of these social categories -- networks and social capital. So the fact of similarities in these respects is likely to give rise to similarities in consciousness and action as well.

And, of course, there is the fact of the social reality of exploitation in each of these circumstances: miners and wine growers are subject to coercive social relations that succeed in separating them from a substantial portion of the fruits of their labors. Coal miners will identify the profit-driven mine owners as the source of their exploitation and wine growers may identify the wine jobbers who buy their product cheaply and sell it dearly in the cities as the source of their exploitation. But each group comes to recognize the social reality of the property relations through which their productive labor is "expropriated" by other powerful forces. Recognition of the fact of exploitation is a key component of the process of the formation of class consciousness.

So it seems plausible to suppose that there are identifiable social mechanisms through which occupational groups come to have shared worldviews and similar political behaviors. But the theory of class asserts more than this; it asserts that wage laborers in many occupations will come to recognize themselves as fundamentally similar to workers in other occupations. The theory of class postulates a sociology of "escalation" of class identity, from the particular occupation, work group, and neighborhood to the larger (and more abstract) class that encompasses many occupations and work groups in widely separated locations. So, it is postulated, fast food workers, auto workers, and air traffic controllers will come to identify together, not simply as a set of occupational groups, but as an extended group of "persons who are forced to sell their labor to capital in order to satisfy life needs." And, further, the theory postulates that it will be possible for a strong form of group solidarity to emerge across this fairly heterogeneous and physically separated set of occupational groups.

It isn't entirely clear what the sociological mechanisms are supposed to be that facilitate this escalation of class identity, however. Classical Marxism depends heavily on the idea of a party and a group of activists who do the "class education" that leads workers from a narrowly parochial view of their situation to one that encompasses the common situation of wage labor. But this depends on a fairly sizable historical coincidence -- the emergence of a militant and disciplined class-based party. And it is very hard to see how non-planned forms of sociological change might lead to this escalation -- hard to see, that is, how air traffic controllers, McDonalds workers, and steel workers might spontaneously come to regard each other as belonging to a single class subject to exploitation by another abstractly defined class.

Moreover, it is very apparent today that there are multiple axes around which collective identities can form. Kinship relations in southern China cut across structural class relations, and it is certainly possible that the Li clan will have a stronger sense of identity than the landless workers -- even though the Li clan contains both landlords, peasant farmers, and landless workers. Religious affinities may be mobilized as a source of collective identity -- again, with the likelihood of creating groups that cut across class lines.

So this line of thought suggests that there is a fairly large gap in the theory of class in even its application to the nineteenth-century case: the problem of how to explain the postulated escalation of consciousness from the particular work group and occupation to the more general category, "working class."

This leaves for another posting the most important question: to what extent is the theory of class relevant to 21st-century society? To what extent can American political conflicts, perceptions, parties, and movements be explained on the basis of occupational and class identities? To what extent do the most important fissures in our society derive from economic conflicts that can be assimilated to the theory of class?