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Mexico is undergoing its worst economic cr1s1s since the world depression of the 1930s. In this volume contributors analyze significant patterns that might affect political stability and legitimacy, economic viability, and social change over the next several years, often reaching controversial conclusions. They argue, for example, that the military is not likely to change its present civil-military role; that political opposition, rather than political violence or pressure from foreign governments, will have the most profound influence on the changing pattern of political legitimacy and system stability; and that decision-making in the private sector may have the greatest potential to resolve or exacerbate the current crisis. Finally, they suggest that because economic conditions have been altered so dramatically in the recent period, Mexican policymakers will need to develop a new range of political alternatives to stabilize the economy and redirect the country's future.

In Western Europe and especially West Germany, introducing a new approach in political science, biopolitics, is not an easy task. German political science has a very strong and effective philosophical tradition (Aristotle, Aquinas, Kant, Hegel, Marx, Weber), which separates it from the life sciences. Traditionally, political science is a theoretical branch of study, and politics is regarded principally as a rational process. Based on well-known historical experiences, German social scientists raise ideological objections to biology, and, with some exceptions (Flohr, 1979, 1983; Buhl, 1981, 1982), they neglect the findings of the life sciences. Political science mainly operates in a vacuum, adhering to the discipline's traditional monistic conceptions of what politics ought to be. Thus, in Germany the first problem is how to change monistic approaches and create a new kind of scientific conception of the world, one that is open and dynamic (Radnitzky, 1971) and able to integrate findings from the life sciences. Only then can biopolitical perspectives become anchored in the discipline. Thus, introducing biopolitics in Germany depends on a mental change, from traditional monistic conceptions to an open conception.

"Polish Political Sciences in a Global Context" published on by Oxford University Press.

ABSTRACTThis article analyzes the text complexity of political science research. Using automated text analysis, we examine the text complexity of a sample of articles from three leading generalist journals and four leading subfield journals. We also examine changes in text complexity across time by analyzing a sample of articles from the discipline's flagship journal during a 100-year span. Although it is not surprising that a typical political science article is difficult to read, it is accessible to intelligent lay readers. We found little difference in text complexity across time or subfield.

Kept up to date by the office's L.C. classification--additions and changes, and by two publications issued by Gale Research Company entitled: Library of Congress classification schedules--a cumulation of additions and changes, and Library of Congress classification schedules combined with additions and changes. ; Mode of access: Internet.

Includes the author's lecture "Moses" at end of book, 24 p. ; The work, though not quite complete at the author's death, is presented here as it was left by him, except for necessary corrections, summaries and index. cf. Prefatory note, signed: Henry George, jr. ; Mode of access: Internet.

A review essay on a books by (1) Dvora Ynaow and Peregrine Schwartz-Shea [Eds], Interpretation and Method: Empirical Research Methods and the Interpretive Turn (Armonk, NY: M.E. Sharpe, 2006) & (2) Sanford F. Schram and Brian Caterino [Eds], Making Political Science Matter: Debaiting Knowledge, Research, and Method (New York: New York University Press, 2006).

Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content. While LLMs like GPT-3 have been used widely in many applications, the recent public release of OpenAI's ChatGPT has opened more debate about the potential uses and abuses of LLMs. In this paper, we provide a brief introduction to LLMs and discuss their potential application in political science and political methodology. We use two examples of LLMs from our recent research to illustrate how LLMs open new areas of research. We conclude with a discussion of how researchers can use LLMs in their work, and issues that researchers need to be aware of regarding using LLMs in political science and political methodology.

In response to requests for information concerning recent developments in political science in Great Britain and France, the following accounts were received from Professor Harold J. Laski, of the London School of Economics and Political Science, and M. Maurice Caudel, of L'École Libre des Sciences Politiques and editor of the Revue des Sciences Politiques:Great Britain. It will be well-known to American students of political science, especially since Professor Fairlie's very careful survey in a previous number of the Political Science Review, that there is practically no organized study of political science in Great Britain.

I want to clarify the scientific status of contemporary political science. To do this, it is necessary to go into the question of what science means. I take it for granted that the samiliar charcterization of science as explanation is cssentially correct. But what does explanation mean?

In our article entitled "The Political Science 400: A 20-Year Update"
(PS, January 2007, 133–45), we presented the
names and total citation counts (1960–2005) of political science
faculty employed (ca. 2002) in U.S. Ph.D.-granting institutions who
were among the 400 most cited in their cohort or subfield. We
recognize the very important nature of our data for individual
scholars and the institutions at which they teach, and we apologize
to those colleagues whose citation counts were misreported,
especially to those few whose counts were off by a very large
amount. Yet, given that nearly 4,000 political scientists are
employed in a Ph.D.-granting institution in the U.S., and given the
numerous data limitations associated with using the Web of Science
search engine (as we explained in the lengthy methodological
appendix to our article), while we worked as hard as we could to
prevent errors, having some errors in our data set was virtually
unavoidable.