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This introductory note provides an overview of the book’s original and timely framework with which to debunk Orientalism in how we read (Turkey’s) political history and present. The main argument is that political contestation is driven by shifting alliances for and against a more pluralistic society, not by forever polarized camps.
The consolidation of the TIS 2.0 enlivened resistance among diverse groups who came together in the seventh major pluralizing coalition since the late Ottoman period. Coalescing around multiple – but not always compatible – visions of living in diversity, the coalition brought together pro-secular Turks on the right and left including municipal actors, youth, women and LGBTQ+ activists, ethnic and religious minorities, and environmentalists, among others. Innovating frames for political, religious, ethnic, and gender pluralism, the coalition registered a major success, retaking city governments in the 2019 elections, an outcome it repeated in 2024.
Political psychologists have long theorized that authoritarianism structures the positions people take on cultural issues and their party ties. Authoritarianism is durable; it resists the influence of other political judgments; and it is very impactful-in a word, it is strong. By contrast, researchers characterize the attitudes most people hold on most issues as unstable and ineffectual-in a word, weak. But what is true of most issues is not true of the issues that have driven America's long running culture war-abortion and gay rights. This Element demonstrates that moral issue attitudes are stronger than authoritarianism. With data from multiple sources over the period 1992-2020, it shows that (1) moral issue attitudes endure longer than authoritarianism; (2) moral issues predict change in authoritarianism; (3) authoritarianism does not systematically predict change in moral issues; and (4) moral issues have always played a much greater role structuring party ties than authoritarianism.
Academics across Canada, an officially bilingual and multicultural country, devote a lot of attention to diversity and representation. This is particularly true for political scientists. In this research note, we focus on the linguistic composition of panels and overall linguistic fragmentation of the most important in-person event for Canadian political science: the annual meeting of the Canadian Political Science Association (CPSA). To do so, we generated a dataset based on the official program of the 2023 annual conference. Our main results are twofold. First, we find an important under-representation of French-speaking events and academic communications (i.e., panels and papers). Second, we computed Herfindahl-Hirschman indexes demonstrating that francophone-dominated panels and co-authored papers with francophone first authors are significantly more linguistically diverse than anglophone panels and papers. Our results highlight important blind spots in Canadian political science and help make sense of the lack of representation of French-language work in Canadian academia.
After fourteen years of Conservative government, we rightly ask what changed for the better or worse during this prolonged period of power? The country experienced significant challenges including austerity, Brexit and Covid: did they militate against the government's making more lasting impact? Bringing together some of the leading authorities in the field, this book examines the impact of Conservative rule on a wide range of economic, social, foreign and governmental areas. Anthony Seldon, Tom Egerton and their team uncover the ultimate 'Conservative effect' on the United Kingdom. With powerful insights and fresh perspectives, this is an intriguing study for anyone seeking to understand the full scope of the Conservative government's influence on our nation. Drawing the immediate lessons from the last fourteen years will be pivotal if the country is to rejuvenate and flourish in the future.
This chapter provides an overview of the purpose of the book, namely to help the user of public opinion data develop a systematic analytical approach for understanding, predicting, and engaging public opinion. This includes helping the reader understand how public opinion can be employed as a decision-making input, meaning a factor, or variable, to assess, predict, or influence an outcome. The chapter outlines how information from different disciplines, including cognitive psychology, behavioral economics, and political science, come together to inform the pollster’s work.
Anthony Seldon introduces the concept of the Effect series, the key questions and the fourteen wasted years accusation. This Effect book will be the eighth in the long line of academic and historical analyses dating back over fifty years of history to 1970 – and it builds on the conclusions and methodology of previous works in the series. One of these, The Coalition Effect (Cambridge, 2015), encompassed five of the years in question – allowing reflections to be made on the authors’ arguments in that volume, and for the impact to be judged in a longer time frame of government.
Breiner emphasizes Weimar’s role as an exemplar in political thought and focuses specifically on the highly influential political scientist Otto Kirchheimer. His chapter highlights how Kirchheimer viewed the Weimar Constitution as a struggle over conflicting and irreconcilable notions of democracy and society and further ties it to his postwar theory of political opposition and its decline. Breiner uses these discussions to highlight how mainstream American political science have misunderstood these ideas and how they relate to core aspects of the Weimar problematique.
Social psychology is interested in how social context influences individuals’ behavior, focuses on subjective variables, and takes the individual as its unit of analysis, which has important epistemological implications. It implies, inter alia, that questions that take a unit of analysis other than the individual (e.g., a movement, a group, a region, or a country) require other disciplines than social psychology. Hence, social psychology should fare well at explaining why individuals participate or fail to participate in a movement once it has emerged but is not helpful in explaining why social movements emerge or decline. Sociology and political science are better suited for such analyses. Although sociology and political sciences usually do their analyses at levels different than that of the individual, they do build their reasoning on assumptions about individual behavior. This is not to say that every social scientist must become a social psychologist, but it is to say that it is worth the effort to specify the social psychological assumptions that underlie the analyses and to see whether they fit into what social psychologists know about individual behavior. We delineate our disciplinary point of departure and build our model of Contextualized Contestation along the lines of Coleman’s boat.
Using a new visualisation technique for word embedding data, this chapter explores the formation of complex, compound concepts in the late eighteenth century, focusing specifically on ‘political revolution’. Word embedding models offer an alternative method of understanding relationships between terms, both as a function of proximity (as in collocation) and of shared contexts (as in synonyms). By measuring the direct distance within the embedding space between two words over time in a series of aligned models, we can witness two parts of a compound idea bind together and observe which terms provide the binding force between them. Using this method, I explore the way that ‘revolution’ travels across the eighteenth century in relation to the ‘political’. Although loosely linked in the wake of the Glorious Revolution at the outset of the century, revolution becomes heavily tied to Newtonian mechanics, before being pulled back into political usage during the French Revolution. The method I introduce here reveals the hidden connections to ‘science’ in both political and revolution that undergirds their eventual merger into the idea of ‘political revolution’ that we have inherited today.
There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.
Chapter 7 says that if scholars will pay more attention to political Stories, they still have to consider how to proceed. The marketplace for ideas is full of Stories, and the epistemological crisis is well funded in every direction. Therefore, Max Weber’s advice is entirely relevant: we must “choose” between Stories (or “causes,” in his term). And we must do that while critics like Alasdair MacIntyre, Charles Taylor, Paul Kahn, and Stephen Smith warn us that we should reject old-time Stories only if we can replace them with new ones that are equally effective.
This INTRODCTION shows how leaders (such as Vladimir Putin and Lyndon Johnson) often tell false stories about international affairs but lately have more and more disregarded truth (facts) in domestic policy talk while highlighting stories (like MAGA) instead. Yet truth telling is vital to democracy. Therefore, in post-truth America, political scientists should widen their disciplinary scope to pay more attention to stories than they do today. While doing so, they should (truthfully) criticize those stories within the guidelines of choosing, refraining, and dissembling (which will be explained more fully in later chapters).
Platform governance matters. The failure of platform companies to govern their users has led to disasters ranging from the unwitting culpability of Facebook in the 2017 genocide of the Rohingya people, to the spread of fraud and disinformation exacerbating the COVID-19 crisis, and to the subversion of free and fair elections across the world. The Introduction to The Networked Leviathan frames the problem of platform governance and its similarity to some of the problems confronted for centuries by political states and recommends that policymakers and scholars of the internet turn to older forms of political organization for inspiration.
Governments and consumers expect internet platform companies to regulate their users to prevent fraud, stop misinformation, and avoid violence. Yet, so far, they've failed to do so. The inability of platforms like Facebook, Google, and Amazon to govern their users has led to stolen elections, refused vaccines, counterfeit N95s in a pandemic, and even genocide. Such failures stem from these companies' inability to manage the complexity of their userbases, products, and their own incentives under the eyes of internal and external constituencies. The Networked Leviathan argues that countries should adapt the institutional tools developed in political science to democratize the major platforms. Democratic institutions allow knowledgeable actors to freely share and apply their understanding of the problems they face while leaders more readily recruit third parties to help manage their decision-making capacity. This book is also available Open Access on Cambridge Core. For more information, visit https://networked-leviathan.com.
In Canada, there is renewed attention to the violence experienced by Indigenous peoples in residential schools, by police, through hyper-imprisonment and child removal, in hospitals, and in the contemporary education system. All of these issues are interlinked and outcomes of the carceral state—defined as the policing, monitoring, surveillance, criminalization and imprisonment of people, especially Indigenous and other racialized peoples. In this article, I define and illustrate what the carceral state looks like in Canada. I articulate the current approach to studying the carceral in political science, note the paucity of research in the Canadian context and show where attention has been cast previously. I describe an improved approach to studying the carceral, arguing that a decolonized approach to studying the carceral must be relational and abolitionist, seeking to reduce and eliminate the use of carceral interventions.
Conversations around transitional justice often focus on concepts of victimhood and perpetration. Such has been the case in Rwanda in the decades following the 1994 Genocide Against the Tutsi. However, even as Rwandans continue to observe state-led transitional justice reforms which divide them into victims and perpetrators, they simultaneously draw on state discourses of unity to carefully critique and re-work the language and practices which produce such divisions. Drawing on long-term ethnographic fieldwork, Berman illustrates how a new generation of Rwandan youth is transforming political ideology by creatively engaging the discourse of ubunyarwanda (Rwandanness) to forge inclusive post-genocide politics.
This research letter introduces readers to health intelligence by conceptualizing critical components and providing a primer for research within political science broadly considered. Accordingly, a brief review of the literature is provided, concluding with possible future research agendas. The aim is to elaborate on the importance of public health intelligence to national security studies, and to political science more generally.
This article presents a cross-disciplinary approach to the study of constitutions: ‘constitutional institutionalism’. Conventional approaches in law, philosophy or political science tend to reduce constitutions either to their formal, factual or ideal aspects. The constitutional-institutionalist approach, by contrast, seeks to integrate these aspects into a more general perspective by focusing on the dynamic interplay between constitutional actors and constitutional norms. It understands constitutional norms as binding institutions that shape and constrain political action, but never fully determine it. Constitutional institutionalism furthermore asserts that constitutional norms, whatever form they take, only have meaning in relation to other constitutional norms as well as to constitutional actors, who impose meaning on these norms. Therefore, constitutional phenomena ultimately require interpretive explanations. This article concludes with a brief constitutional-institutionalist research agenda.
In this paper, we answer the multiple calls for systematic analysis of paradigms and subdisciplines in political science—the search for coherence within a fragmented field. We collected a large dataset of over seven hundred thousand writings in political science from Web of Science since 1946. We found at least two waves of political science development, from behaviorism to new institutionalism. Political science appeared to be more fragmented than literature suggests—instead of ten subdisciplines, we found 66 islands. However, despite fragmentation, there is also a tendency for integration in contemporary political science, as revealed by co-existence of several paradigms and coherent and interconnected topics of the “canon of political science,” as revealed by the core-periphery structure of topic networks. This was the first large-scale investigation of the entire political science field, possibly due to newly developed methods of bibliometric network analysis: temporal bibliometric analysis and island methods of clustering. Methodological contribution of this work to network science is evaluation of islands method of network clustering against a hierarchical cluster analysis for its ability to remove misleading information, allowing for a more meaningful clustering of large weighted networks.