A new explanation of the relation between schooling and work in the democratic, advanced industrial state emerges from this study that rejects both traditional views and the more recent Marxian perspective. Traditional views consider schools as autonomous institutions that are able to pursue the goals of equality and social mobility irrespective of the inequalities of capitalist society; the Marxian perspective views schools as serving the role of producing wage-labor for capitalistic exploitation. The authors suggest that the shortcomings of both views (...) are rooted in the fact that they do not recognize the true functions of the democratic, capitalist state. The state is seen as an arena for struggle between forces pushing for egalitarian, democratic reforms and those seeking to use the resources of the state for private capital accumulation. Depending on which side has primacy at the moment, schools will reflect one set of goals over the other. However, victory is never complete, and the tide of battle has shifted back and forth historically. The authors develop this theory through interpreting the dynamic relation between U.S. schools and the workplace. Based on this approach, they predict changes in both schooling and work as well as the forms that future conflicts between the contending forces are likely to take. (shrink)

`Written with elegance and irony, the book is a searching enquiry into realism in the novel... ' Leon Edel.

This paper examines human planning abilities, using as its inspiration planning techniques developed in artificial intelligence. AI research has shown that in certain problems partial‐order planners, which manipulate partial plans while not committing to a particular ordering of those partial plans, are more efficient than total‐order planners, which represent all partial plans as totally ordered. This research asks whether total‐order planning and/or partial‐order planning are accurate descriptions of human planning, and if different populations use different planning techniques. Using a simple (...) planning task modeled after tasks designed in artificial intelligence we tested 7–8 year‐old children, 11–13 year‐old children, adult controls, and adults with damage to the prefrontal cortex. We found that adults and older children exhibited performance on planning tasks of varying complexity which matched that of artificial partial‐order planners, and that this pattern of performance did not vary with multiple presentations of the planning task. In contrast, young children and adults with damage to the prefrontal cortex exhibited performance matching that of artificial total‐order planners. This pattern of performance did vary, however, with multiple presentations of the planning task, with the young children and adults with cortical damage displaying aspects of total‐order planning. In a further study we found that adolescents who had sustained damage to the prefrontal cortex as children displayed two different patterns of performance; when measures of reaction time were analyzed they revealed a pattern of performance suggestive of partial‐order plan representations. However, analyses of the adolescents' protocols revealed a pattern of performance suggestive of total‐order plan representations. The significance of these results to psychology, neuroscience, and artificial intelligence are discussed. (shrink)