First published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

This volume appears now finally in English, sixty years after the death of its author, Lucien Tesnière. It has been translated from the French original into German, Spanish, Italian, and Russian, and now at long last into English as well. The volume contains a comprehensive approach to the syntax of natural languages, an approach that is foundational for an entire stream in the modern study of syntax and grammar. This stream is known today as dependency grammar (DG). Drawing examples from dozens of languages, many of which he was proficient in, Tesnière presents insightful analyses of numerous phenomena of syntax. Among the highlights are the concepts of valency and head-initial vs. head-final languages. These concepts are now taken for granted by most modern theories of syntax, even by phrase structure grammars, which represent, in a sense, the opposite sort of approach to syntax from what Tesnière was advocating. Now Open Access as part of the Knowledge Unlatched 2017 Backlist Collection.

A foundational work on historical and social studies of quantification What accounts for the prestige of quantitative methods? The usual answer is that quantification is desirable in social investigation as a result of its successes in science. Trust in Numbers questions whether such success in the study of stars, molecules, or cells should be an attractive model for research on human societies, and examines why the natural sciences are highly quantitative in the first place. Theodore Porter argues that a better understanding of the attractions of quantification in business, government, and social research brings a fresh perspective to its role in psychology, physics, and medicine. Quantitative rigor is not inherent in science but arises from political and social pressures, and objectivity derives its impetus from cultural contexts. In a new preface, the author sheds light on the current infatuation with quantitative methods, particularly at the intersection of science and bureaucracy.