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In this article, I present a potential counterexample to Lackey’s Group Agent Account (GAA) of group beliefs. I argue that cases of pluralistic ignorance pose a problem for Lackey’s GAA because, in such cases, it systematically yields the wrong ascriptions of belief. I then discuss two ways to improve GAA, which I call GAA* and GAA**, that make it immune to the pluralistic ignorance problem. However, I argue that GAA* and GAA** face their own problems that cannot be straightforwardly solved without overfitting the account. I conclude by arguing that pluralistic ignorance is not a minor problem but one that generally affects summative approaches, such as GAA, and provides evidence in support of nonsummative accounts of group beliefs.
This study investigates how states leverage leadership positions in international organizations (IOs) to enhance their staff representation. Using an original dataset of 25 United Nations system agencies from 1996 to 2022, we show that leadership roles can help states enhance their staff representation. Two mechanisms drive this influence: leaders secure voluntary contributions from their home countries to create favorable conditions for national representation, and they cultivate positive institutional relationships that facilitate greater staffing opportunities. Further analysis reveals that leaders from developing countries have demonstrated increasing effectiveness in strengthening their nations’ representation over time. Meanwhile, countries closely connected to leadership-holding states also gain staff representation. These dynamics may carry performance costs, raising broader implications for global governance.
Since its establishment in 1979, the Women’s Caucus of the Canadian Political Science Association (CPSA) has served an important networking, mentoring and advocacy role for women political scientists. While small and informal in its early days, over time the Caucus has become increasingly more formalized and structured in the support it provides to women within the discipline. Drawing on CPSA documents, scholarship on women in the discipline and interviews with several caucus participants, this article identifies the factors leading to the establishment of the CPSA’s Women’s Caucus and traces its development and history over the past five decades. It identifies four distinct periods within the Caucus’s history (1970–1979, 1980–1992, 1993–2005 and 2006 to the present) and argues that as women’s role in the academy has changed, the Caucus has taken on a wider range of priorities and tasks, reflecting the changing composition of the discipline.
Regarding proofs for the existence of God, two things are well known of St John Henry Newman. First, he was chary about aspects of the Christian Evidences, a great accumulation of Christian apologetics in which Paley’s writings occupied a central place. Second, that he favoured an argument from conscience as ‘a proof common to all, to high and low’. This paper examines what might have been behind Newman’s convictions. It argues that metaphysical and epistemological emphases of early modern philosophy had semantic repercussions for ‘standard’ apologetics such as St Thomas’ Five Ways. In a new social imaginary, they suffer distortion and lose vitality as they begin to be reprogrammed to operate according to modern epistemological canons. Similarly, Paleyan arguments from design as they appear in the Christian Evidences were built on an evidential standard perhaps notionally compelling but in reality false to how a person really comes to conviction about belief in God. In the end, this paper argues that there is an odd kinship between Newman’s argument from conscience and St Thomas’ Five Ways, if these latter are read in their intended medieval light rather than in a modern light.
Erected in 1502, the two Tangut dhāraṇī pillars in Baoding, Hebei, are the latest datable Tangut materials known to history. Scholars have generally focused almost exclusively on their recency, however, overlooking the historical contexts of their erection. Meanwhile, historians have long sought to understand the patterns of local societies in northern China following the fall of the Northern Song, yet the histories of minor ethnic groups, like the Tanguts, remain underexplored. By contextualizing the pillars within their historical setting, this study seeks to improve understanding of the material and offer a new perspective on the local history of post-Jin northern China. The article has three main parts, concerning 1) the historical information the pillars’ inscriptions provide; 2) the religious practice of the Tangut community and its historical origin; and 3) the varied social status of the pillars’ patrons and the power dynamics they reflect.
In real-world scenarios, high-quality data are often scarce and imbalanced, yet it is essential for the optimal performance of data-driven algorithmic models. Data synthesis methods are commonly used to address this issue; however, they typically rely heavily on the original dataset, which limits their ability to significantly improve performance. This article presents a quality function-based method for directly generating high-quality data and applies it to a mesh generation algorithm to demonstrate its efficiency and effectiveness. The proposed approach samples input–output pairs of the algorithm based on their feature spaces, selects high-quality samples using a defined quality function that evaluates the suitability of outputs for their corresponding inputs, and trains a feedforward neural network to learn the mapping relationship using the selected data. Experimental results show that the learning cost is significantly reduced while maintaining competitive performance compared to two representative meshing algorithms.
This article explores the reactions of white U.S. elite travelers to the greater Caribbean in the Gilded Age and progressive era. Focusing on the tropical port system that was the center of the region’s commodity export trade and simultaneously a center of visitor transit, it explores how visitors’ negative reactions, especially of disgust, fed into the politics of race and empire by attributing the effects of rapid globalization to non-white autonomy in the region.
Proof is a fundamental problem facing those who experience discrimination in the workplace. Statutory discrimination law in Australia typically relies on an individual claimant proving their case, without a shifting burden of proof. Using age discrimination as a lens to facilitate analysis, and drawing on innovative findings from a multi-year, mixed methods empirical study of the enforcement of age discrimination law in Australia and the UK, this article offers the first empirically-informed assessment of what difference a shifting burden of proof would make to Australian discrimination law. It argues that while a shifting burden of proof may be important in finely balanced cases, and should be adopted for that reason, it is insufficient to overcome the limits of individual enforcement, and the dramatic information disparities between workers and employers. It offers important additional strategies or tools that might also help address the problem of proof, to better advance equality.
In this article, I explore the history of Bokaro Steel City – a planned industrial settlement conceived in the 1960s in the Indian state of Jharkhand as part of India’s post-Independence modernization programme. Drawing on ethnographic fieldwork and archival materials, I demonstrate the unique socially inclusive approach of tackling social inequalities, focusing specifically on how planners approached social reproduction. By foregrounding the distinctiveness of Bokaro’s urban design, I argue for a re-evaluation of modernist urbanities, delinking them from the exclusively Eastern European monotowns or Western superblocks and demonstrating how Indian planners adapted modernist ideas to meet their local objectives.
During the 1920s, the newly formed American Legion used its unique placement as a nonprofit lobbying for veterans’ causes in a novel way—to enter movie distribution with the creation of its Film Service. The era was famously marked by the consolidation of Hollywood studios into conglomerates and the establishment of their powerful trade association, which moguls used to exert significant control over the emerging medium. Yet while big business was important in structuring the rise of motion pictures, small enterprises—including nonprofits like the Legion Film Service—still found ways to contribute to the sector’s growth by innovating and adapting complex operational strategies, becoming a surprising resource to their well-financed peers in the process. By taking these steps, Legionnaires’ civically minded playbills shaped the development of an industry that projected American cultural and economic influence for the rest of the century.
The declining voter turnout across democracies has raised concerns regarding its implications for democratic representation. Yet, the extent to which low turnout may undermine representation in Europe remains unclear. Do the policy preferences of voters and non-voters differ? This research addresses that question by providing the first large-scale, cross-national examination of policy preference differences between voters and non-voters in European democracies. Using data from the 2014 and 2019 waves of the European Election Study, covering 29 European democracies, I analyse differences across the left-right spectrum, economic attitudes (ie redistribution, regulation, spending), social attitudes (ie immigration, same-sex marriage, environment, and civil liberties), and views on European integration. The results reveal some disparities between voters and non-voters, but these are generally sporadic, even within individual countries, suggesting that such disparities are not the norm. Still, when differences do arise, they are not trivial. The analysis of how the electorate’s preferences would change under a hypothetical full turnout scenario suggests that these disparities can introduce meaningful biases. Using data from the British Election Study Internet Panel, I further distinguish between regular voters, peripheral voters, and perpetual non-voters and find notable heterogeneity in their policy preferences. These findings show that when turnout is low, the electorate’s overall stance reflects that of regular voters, but higher turnout mitigates this bias. Overall, the results suggest that while voters and non-voters in Europe typically hold similar policy views, occasional disparities can introduce representation bias in policy preferences, with implications for democratic representation and party strategies.
Occupied from around 1600 BC and linked to the Cherkaskul and Alekseevka-Sargary cultures, Semiyarka is a newly identified 140ha Late Bronze Age settlement in north-eastern Kazakhstan. The site represents a unique settlement with planned architecture—including a central monumental structure—low-density pottery scatter and evidence for organised tin-bronze production.
Household food security plays a critical role in determining the nutritional status of children, which in turn impacts their growth and development. This study assessed factors influencing household food security and childhood nutritional status and explored the relationship between these variables in Namutumba District. A total of 299 child-caregiver pairs participated in the study. Data were collected through structured interviews and analyzed, with multi-level mixed effects generalized linear models to examine factors associated with severe household food insecurity and children’s nutritional status. Multilinear regressions were used to evaluate the relationship between severe household food insecurity and child nutritional status. The results revealed that most households (60.2%) were severely food insecure. A double burden of malnutrition was observed, with 28.0% of children stunted and 2.8% overweight or obese. Factors positively associated with improved household food security included secondary-level education (p = 0.011), medium to high wealth percentile (p < 0.001), and the presence of at least one income-earning household member (p = 0.045). Conversely, lack of access to agricultural land, food stocks, and access to treated drinking water were significantly linked to severe food insecurity (p < 0.001). Severe food insecurity was positively associated with wasting (β = 0.81, p = 0.007) and negatively associated with stunting (β = −0.37, p = 0.039). In conclusion, multiple factors influence household food security, and the nutritional status of children aged 24–59 months. A comprehensive, food systems-based approach may be key to addressing malnutrition in Namutumba District.
We study exponentiable functors in the context of synthetic $\infty$-categories. We do this within the framework of simplicial homotopy type theory of Riehl and Shulman. Our main result characterizes exponentiable functors. In order to achieve this, we explore Segal type completions. Moreover, we verify that our result is semantically sound.
Design Science is the discipline that studies the creation of artifacts – products, services, and systems and their embedding in our physical, virtual, psychological, economic, and social environments. This editorial is a collective effort of the Design Science Journal’s editorial board members, past and present. The journal’s inaugural 2015 editorial, “Design Science: Why, What and How,” reflected the thoughts and vision of that first editorial board for the new journal and the discipline it represented. The present contribution offers the reflections of editors who served the journal in the past 10 years. The individual contributions were not primed and are presented here unedited for conformity or consistency. Differently from the 2015 editorial, there is no effort to synthesize the individual contributions, leaving the task to our readers, who can draw their own conclusions about the Design Science Journal and community accomplishments to date, and the challenges ahead.
Extensive research on judicial politics has documented disparities in adjudication and biases in judging. Yet, lacking statistical methods to infer individual preferences from group decisions, existing studies have focused on courts publishing individual judges’ opinions, leaving a gap in understanding collegial courts that report only collective and unanimous (‘per curiam’) panel decisions. We introduce a statistical methodology to identify the most fitting decision-theoretic models for such collective decisions, infer judges’ individual preferences, and quantify the inconsistency in the courts’ decisions. This methodology is applicable in various small group decision-making contexts where group assignments are repeated and exogenous. Applying it to the Swiss appellate court for asylum appeals, where decisions are made in three-judge panels, we find that in 45 per cent of cases, the chair-as-dictator rule applies (rather than majority rule). Although judges’ preferences vary strongly with partisanship, the partially collective decision making of the panel moderates this heterogeneity.
The unprecedented success of deep learning (DL) makes it unchallenged when it comes to classification problems. However, it is well established that the current DL methodology produces universally unstable neural networks (NNs). The instability problem has caused a substantial research effort – with a vast literature on so-called adversarial attacks – yet there has been no solution to the problem. Our paper addresses why there has been no solution to the problem, as we prove the following: any training procedure based on training rectified linear unit (ReLU) neural networks for classification problems with a fixed architecture will yield neural networks that are either inaccurate or unstable (if accurate) – despite the provable existence of both accurate and stable neural networks for the same classification problems. The key is that the stable and accurate neural networks must have variable dimensions depending on the input, in particular, variable dimensions is a necessary condition for stability. Our result points towards the paradox that accurate and stable neural networks exist; however, modern algorithms do not compute them. This yields the question: if the existence of neural networks with desirable properties can be proven, can one also find algorithms that compute them? There are cases in mathematics where provable existence implies computability, but will this be the case for neural networks? The contrary is true, as we demonstrate how neural networks can provably exist as approximate minimisers to standard optimisation problems with standard cost functions; however, no randomised algorithm can compute them with probability better than $1/2$.