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Central banks are promising a more climate-based focus on matters ranging from communication to prudential regulation and supervision, including monetary policy. The chapter examines the various arguments that analyze whether the European Central Bank (ECB) can tackle climate change, in light of its mandates. In our view, climate change fits within the narrower central bank mandates, focused on price stability, while other ‘peripheral’ mandates and ‘transversal’ environmental principles can play a supporting role. Prudential regulation and supervision can also be a main point for assimilation. Finally, we examine the considerations of courts of climate change when scrutinizing governmental action and compare them to the considerations of courts of ECB acts. We conclude that the integration of sustainability considerations, and especially climate change, into the ECB price stability mandate seems to be on relatively firm legal ground.
Amidst a deepening sense of uncertainty and polycrisis, how do international organizations (IOs) relate to the future? This article explores the politics of speculative foresight as a pervasive but sparsely researched and undertheorized form of future-oriented expertise in international institutions that taps into eclectic knowledge genres – such as art and literature, management philosophy, geopolitics, and esotericism. First, I examine how foresight is created and validated as a bundle of epistemic practice in contemporary IOs. As a way of knowing, I find that foresight is authorized through claims to innovation, imagination, pluralism, and methodological correctness, challenging established understandings of IO expertise as based on bureaucratic rationality and scientific objectivity. Moreover, I argue that foresight differs from more well-researched future-oriented practices, like risk technologies, forecasting, and anticipatory modeling, by imagining the future as contingent, plural, and unknowable. In a second genealogical move, I illustrate how this specific rendering of the future was made possible historically through the establishment of futures studies as an activist, utopian, and aesthetic counter-project to ‘scientific’ Cold War futurology. The article mobilizes performative thinking in social theory and STS and builds on a transversal analysis of IO documents, digital platforms and archives, futurist writings, and historical literature.
Literary and archaeological evidence suggests that the Roman world was profoundly unequal. What did this mean in material terms for people at the bottom of the social hierarchy? Astrid Van Oyen here investigates the lived experiences of non-elite people in the Roman world through qualitative analysis of archaeological data. Supported by theoretical insights from the material turn, development economics, and feminist studies, her study of precarity cuts across the experiences of workers, the enslaved, women, and conquered populations. Van Oyen considers how precarity shaped these people's relation to production, consumption, time, place, and community. Drawing on empirically rich archaeological data from Roman Italy, Britain, Gaul, and the Iberian Peninsula, Van Oyen challenges long-held assumptions and generates new insights into the lives of the non-elite population. Her novel approaches will inspire future studies, enabling archaeologists, historians, and anthropologists to retrieve the unheard voices of the past.
John Dewey holds that uncertainty is a central feature of the concrete interaction between organism and environment, and he mobilizes this diagnosis to explain both the emergence of inquiry and the persistence of speculative and abstract philosophies. However, we show that material reality is not uncertain and that the quest for certainty cannot explain the flight from the concrete, but should explain a return to it. Drawing on historical, philosophical, and sociological sources (most notably Edgar Zilsel’s thesis and the embodied knowledge of artisans) we invert Dewey’s interpretative framework: epistemic uncertainty arises not from material reality, but from theoretical abstraction. This reinterpretation enables a reformulation of Dewey’s critique of dualism and provides the basis for a pragmatist epistemology grounded in the relative stability of practical experience. Finally, it opens the way for a reconsideration of the foundations of democracy from a non-relativistic perspective.
Discover the foundations of classical and quantum information theory in the digital age with this modern introductory textbook. Familiarise yourself with core topics such as uncertainty, correlation, and entanglement before exploring modern techniques and concepts including tensor networks, quantum circuits and quantum discord. Deepen your understanding and extend your skills with over 250 thought-provoking end-of-chapter problems, with solutions for instructors, and explore curated further reading. Understand how abstract concepts connect to real-world scenarios with over 400 examples, including numerical and conceptual illustrations, and emphasising practical applications. Build confidence as chapters progressively increase in complexity, alternating between classic and quantum systems. This is the ideal textbook for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics, looking to master the essentials of contemporary information theory.
Chapter 2 develops a theory explaining when states pursue arms control agreements and why they choose different levels of monitoring provisions. It argues that domestic political volatility in adversary states creates uncertainty about their incentives for cooperation, making formal agreements more likely through two distinct pathways. The "hedging" pathway occurs when states become uncertain about previously cooperative opponents and pursue low monitoring agreements rather than relying on informal coordination. The "risking" pathway emerges when states become uncertain about previously competitive opponents and pursue high monitoring treaties to cautiously seek cooperation benefits. The theory is built on a game theoretic model that analyzes how states select monitoring provisions based on their beliefs about adversary types and implementation challenges. The chapter identifies two key sources of domestic volatility that drive uncertainty: leadership/elite turnover and public pressure on governments. The theory generates testable hypotheses about when states will pursue agreements and what monitoring levels they will select, conditional on their baseline beliefs about adversary intentions. This framework provides new insights into the relationship between domestic politics, uncertainty, and international security cooperation.
This chapter estimates the distribution of cases among the categories of stasis established in Chapter 9, as well as two additional subcategories, using a blend of qualitative and (especially) quantitative analysis. Broadly speaking, it shows that only a miniscule minority of staseis involved the most extreme type of violence (internal war); that a larger minority involved less-extreme-but-still-bloody forms of violence, such as mass executions and battles; and that a majority relied exclusively on types of violence that limited the number of fatalities, such as assassinations, betrayals, and expulsions.
Clinical ethics consultation was requested by the intensive care unit regarding a young woman with a near full-term pregnancy on the brink of COVID respiratory failure. She refused lifesaving mechanical ventilation, as she embraced the religious instruction of her upbringing to distrust religious outsiders and instead allow God to personally direct her choices. A psychiatrist determined that her beliefs were atypical, but she had medical decision-making capacity to refuse ventilation. Without it, her intensivist team anticipated her death along with the fetus within hours. Ethical consultation weighed the following: rights to bodily autonomy; standards of informed refusal; religious coping; nonabandonment and trust; moral distress and sympathetic regret. With her permission, the ethics consultant contacted her family, who were dismayed by her choices and reached out to persuade her otherwise. Within hours, she provided consent for ventilation and cesarean section; despite these, she required extracorporeal membrane oxygenation for ten days. Ultimately, she and her healthy newborn were discharged home. In follow up, she described no regrets over her care nor distrust of her providers. The clinical ethicist is haunted by the uncertainties of the practice of medicine and ethics, as well as by missteps in the consultation process
To mitigate uncertainty, it is often assumed that governments negotiate ample flexibility provisions when entering new international treaties. Yet, the case of preferential trade agreements (PTAs) suggests that governments prioritize the more stringent commitments when faced with uncertainty. In this paper, we investigate the effects of uncertainty spikes occurring during negotiations on the design of 251 bilateral PTAs. Our theory proposes that sharp increases in uncertainty make governments more prone to signing deeper PTAs to emphasize their commitment to liberalization. In doing so, governments cater to firms’ demands for institutions protecting investment, upholding intellectual property rights, and promoting regulatory harmonization. We find robust evidence that PTAs are deeper when the contracting parties are faced with uncertainty spikes during negotiations. However, we do not find equally consistent evidence that countries also make PTAs more flexible. While much of the rational-design literature has focused on flexibility as a tool to cope with uncertainty, our findings suggest that countries rather tend to tighten their international commitments in turbulent times.
Authoritarian incumbents routinely use democratic emulation as a strategy to extend their tenure in power. Yet, there is also evidence that multiparty competition makes electoral authoritarianism more vulnerable to failure. Proceeding from the assumption that the outcomes of authoritarian electoral openings are inherently uncertain, it is argued in this article that the institutionalisation of elections determines whether electoral authoritarianism promotes stability or vulnerability. By ‘institutionalisation’, it is meant the ability of authoritarian regimes to reduce uncertainty over outcomes as they regularly hold multiparty elections. Using discrete‐time event‐history models for competing risks, the effects of sequences of multiparty elections on patterns of regime survival and failure in 262 authoritarian regimes from 1946 to 2010 are assessed, conditioned on their degree of competitiveness. The findings suggest that the institutionalisation of electoral uncertainty enhances authoritarian regime survival. However, for competitive electoral authoritarian regimes this entails substantial risk. The first three elections substantially increase the probability of democratisation, with the danger subsequently diminishing. This suggests that convoking multiparty competition is a risky game with potentially high rewards for autocrats who manage to institutionalise elections. Yet, only a small number of authoritarian regimes survive as competitive beyond the first few elections, suggesting that truly competitive authoritarianism is hard to institutionalise. The study thus finds that the question of whether elections are dangerous or stabilising for authoritarianism is dependent on differences between the ability of competitive and hegemonic forms of electoral authoritarianism to reduce electoral uncertainty.
This article argues that process tracing is a viable and suitable methodological alternative to probe the implications of formal models specifying how the dynamics of belief formation may systematically cause bargaining failures under uncertainty. I illustrate the argument with a brief case study of the failure of the European Defence Community in postwar Europe.
The aim of the present work is to provide evidence for two debates in the formal literature on evidentiality: (i) whether the evidential content of evidential elements is in the scope of (certain) operators, and (ii) whether the evidential content can be directly assented/rejected or challenged. We argue, based on the main semantic and pragmatic properties of the Basque reportative particle omen, that, on the one hand, evidential content can have narrow scope within certain operators, and, on the other hand, it can be rejected (contrary to what is claimed to happen crosslinguistically). Based on these conclusions, we contend that the role of omen is best interpreted as contributing to the truth conditions or the propositional content of the utterance, and not to its illocutionary force or as a presupposition trigger. We argue that, by using omen, speakers assert that the reported proposition has been stated (or written) by someone other than themselves. Omen has no other semantic meaning. In our view, the speaker's expression of uncertainty often attributed to omen, if it is present, belongs to the pragmatic content of the utterance and, more precisely, is a generalized conversational implicature of the omen-utterance. Grice's (1989a [1975], 1989b [1978]) cancelability ‘test’ and the data from several corpora support our conclusion. The speaker's expression of uncertainty is explicitly or contextually cancelable, and we found many examples in which the speaker's certainty about either the truth or falsity of the reported proposition is clear. In addition, inspired by Korta & Perry 2011a, we distinguish between three contents, or sets of truth conditions, involved in an omen-utterance, relative to the possible status of the original speaker. Moreover, the results of another test (which can be called the reportability test) show that speakers tend not to use omen to report nonliteral contents (particularized conversational implicatures and presuppositions, at least).
Few would underestimate the role of nondemocratic governments in controlling and steering NGOs. However, this article highlights that in hybrid regimes, the rules for NGO–government and interorganizational relations are not simply dictated from above but actively shaped and sustained by NGOs themselves. Building on data from two policy fields in competitive authoritarian Armenia, this article illustrates that the government sent ambiguous signals to NGOs, thereby cultivating divisions between them. It then shows that, surprisingly, NGOs themselves amplified these divisions. They did so by (1) avoiding confrontation with the government, (2) claiming ownership of their own policy initiatives or ties to government, and (3) distancing themselves from other NGOs. The article explains this behavior by focusing on the institutional environment and perceived uncertainty. In view of a worldwide trend toward increasingly contradictory policy environments for civil society, the approach and findings of this article are of relevance beyond Armenia and beyond competitive authoritarian regimes.
Time is among the most fundamental categories of political and, specifically, democratic life. While time in the sociopolitical world leaves traces in many (subtle) ways, we do not find it among the guiding concepts of democratic theory. This Special Issue, therefore, understands itself as part of a project that traces the centrality of time and temporality in democratic theory and practice. Our goal is to move toward an in-depth discussion of time in democratic theory by unearthing and systematizing the fragments of this emerging agenda. In this editorial, we deepen the status of time in democratic theory. We do this by discussing both the research that explicitly addresses the relationship between time and democracy and the many latent forms of how temporality shapes democratic thinking. Finally, we identify three dimensions of how time is relevant in and for democratic theory, and we locate the contributions to this Special Issue regarding these dimensions.
This key chapter opens with background assumptions (full employment is not assumed, the financial sector is key, and unemployment is an unnecessary evil) and then starts building a basic macro model based on the injection-leakages approach. It identifies physical investment spending as the key injection and then spends considerable time explaining the determinants of investment and the environment in which relevant decisions are made. This is perhaps the most complex part of the volume, but real-world data are referenced frequently in the hope that this makes the argument easier to follow. About halfway through the chapter, there is a shift in focus toward the financing of investment. This requires a discussion of banking and credit/money creation. The chapter ends with miscellanea regarding investment spending (including some specific observations from Kalecki and Mitchell).
Build a firm foundation for studying statistical modelling, data science, and machine learning with this practical introduction to statistics, written with chemical engineers in mind. It introduces a data–model–decision approach to applying statistical methods to real-world chemical engineering challenges, establishes links between statistics, probability, linear algebra, calculus, and optimization, and covers classical and modern topics such as uncertainty quantification, risk modelling, and decision-making under uncertainty. Over 100 worked examples using Matlab and Python demonstrate how to apply theory to practice, with over 70 end-of-chapter problems to reinforce student learning, and key topics are introduced using a modular structure, which supports learning at a range of paces and levels. Requiring only a basic understanding of calculus and linear algebra, this textbook is the ideal introduction for undergraduate students in chemical engineering, and a valuable preparatory text for advanced courses in data science and machine learning with chemical engineering applications.
Many, if not most, phenomena faced by political elites are characterized by uncertainty. This characterization also holds for the concept uncertainty itself, with conceptualizations and operationalizations differing both across and within bodies of scholarship. The conceptual vagueness poses a challenge to the accumulation of knowledge. To address this challenge, we integrate and expand existing work and develop an uncertainty grid to map phenomena (e.g., Covid-19; digitalization) or aspects thereof (e.g., vaccines; generative Artificial Intelligence [AI]). The uncertainty grid includes both the nature of a phenomenon’s uncertainty (epistemic and/or aleatory) and its level and enables labeling phenomena as certain, resolvably uncertain, or radically uncertain. We demonstrate the utility of the uncertainty grid by mapping the development of uncertainty during the Covid-19 pandemic onto it. Moreover, we discuss how researchers can use the grid to develop testable hypotheses regarding political elites’ behavior in response to uncertain phenomena.
Like a puppy playing with the long stick which is the risk-uncertainty conundrum, we chew energetically on the risk end, letting the uncertainty end drag in the dust. The stick is shaped, I argue, by Newtonian humanism. It combines the scientific and humanist stances that have co-evolved in modern times, constituting a commonsensical, internally inconsistent, worldview. And that view bends the analysis of the political world toward controllable risk, sidestepping or silencing unruly uncertainty.
Bankers rely on sophisticated risk models when they place their bets, informed by what they understand to be the rational beliefs they and others hold about the world. In a financial crisis, however, on a moment’s notice those beliefs can morph into panics, revealing unacknowledged uncertainties that had existed all along (section 1). What bankers, traders, government officials, and many of us do all too rarely is to acknowledge the pervasiveness of an uncertain future that we may intuit but cannot know. Without firm knowledge about the future, actors are guided by confidence-instilling conventions. Social conventions, such as risk-management models, were widely believed in and adopted to control uncertainty. These models generated endogenously a systemic crisis (section 2). The complementarity of the small world of risk with the large world of uncertainty is reflected in economic practices such as accounting and arbitrage (section 3). The Federal Reserve has relied heavily on story-telling (section 4). Going beyond the analysis of finance this chapter ends by discussing the denial of the risk-uncertainty conundrum by the reigning theory in the field of international political economy (section 5).