Frontiers in Social Science features new research in the flagship journals of the Social Science Research Council’s founding disciplinary associations. Every month we publish a new selection of articles from the most recent issues of these journals, marking the rapid advance of the frontiers of social and behavioral science.
In a geographic regression discontinuity design, New York townships that received more school funding prior to the Civil War later had higher median earnings, lower earnings inequality, and higher levels of voter turnout.
Democratic theorists have long argued that states can create more resilient democracies through education. Educational investments are thought to produce more economic equality and instill in citizens greater capacity and responsibility to participate in politics. Using a geographic regression discontinuity design and township-level data from Antebellum New York State, we examine whether state funding for common schools led to higher voter turnout as well as higher earnings and lower inequality. Our estimates support the view that a participatory democratic culture emerged not only because of initial favorable endowments but also because of subsequent government decisions to fund education. New York townships that received more school funding later had higher median earnings, lower earnings inequality, and higher levels of voter turnout. Our findings support the view that maintaining democracy requires active investments by the state, something that has important implications for other places and other times—including today.
Computational text analysis applied to data from the Web of Science and Citation Classics reveals that new methods are more disruptive to the production of scientific knowledge than new theories or new results.
Novelty and impact are key characteristics of the scientific enterprise. Classic theories of scientific change distinguish among different types of novelty and emphasize how a new idea interacts with previous work and influences future flows of knowledge. However, even recently developed measures of novelty remain unidimensional, and continued reliance on citation counts captures only the amount, but not the nature, of scientific impact. To better align theoretical and empirical work, we attend to different types of novelty (new results, new theories, and new methods) and whether a scientific offering has a consolidating form of influence (bringing renewed attention to foundational ideas) or a disruptive one (prompting subsequent scholars to overlook them). By integrating data from the Web of Science (to measure the nature of influence) with essays written by authors of Citation Classics (to measure novelty type), and by joining computational text analysis with statistical analyses, we demonstrate clear and robust patterns between type of novelty and the nature of scientific influence. As expected, new methods tend to be more disruptive, whereas new theories tend to be less disruptive. Surprisingly, new results do not have a robust effect on the nature of scientific influence.