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This contribution retells the familiar story of the international tax regime from an unconventional perspective, revealing how racial fears have burdened communities around the globe. It explores the impact of anti-Black racism on the international tax regime, tracing the evolution of international tax rules that have impoverished vulnerable states and eviscerated social safety nets in wealthier ones. Decolonisation granted political power and economic autonomy to erstwhile possessions only to watch it be stripped away by treaties designed to constrain fiscal sovereignty.
Revolution only occurs when people are willing to die for it. The last few days of May 2020 showed that thousands of people were willing to risk their lives in the struggle against the racist capitalist system. Rage at four hundred years of oppression, exploitation, and denigration, at the systemic murder of black, brown, and indigenous people, and at wanton, visible, and permissible police violence could no longer be contained. Between the virus and the economy, there was nothing left to lose.
As countries around the world went into lockdown, we turned to 32 leading scholars working on different aspects of democracy and asked them what they think about how the COVID-19 pandemic has impacted democracy. In this article, we synthesize the reflections of these scholars and present five key insights about the prospects and challenges of enacting democracy both during and after the pandemic: (1) COVID-19 has had corrosive effects on already endangered democratic institutions, (2) COVID-19 has revealed alternative possibilities for democratic politics in the state of emergency, (3) COVID-19 has amplified the inequalities and injustices within democracies, (4) COVID-19 has demonstrated the need for institutional infrastructure for prolonged solidarity, and (5) COVID-19 has highlighted the predominance of the nation-state and its limitations. Collectively, these insights open up important normative and practical questions about what democracy should look like in the face of an emergency and what we might expect it to achieve under such circumstances.
What is democratic theory? The question is surprisingly infrequently posed. Indeed, the last time this precise question appears in the academic archive was exactly forty years ago, in James Alfred Pennock's (1979) book Democratic Political Theory. This is an odd discursive silence not observable in other closely aligned fields of thought such as political theory, political science, social theory, philosophy, economic theory, and public policy/administration – each of which have asked the “what is” question of themselves on regular occasion. The premise of this special issue is, therefore, to pose the question anew and break this forty-year silence.
This paper analyses the Interest Group approach to political choice, an approach that has recently been adopted by economists. The paper argues that Interest Group theorists have overlooked, and sometimes denied, the potential of their approach to distinguish between optimal and non-optimal (or ‘inefficient’) policy outcomes. The analysis is illustrated with examples from banking regulation.
This introductory article to Democratic Theory's special issue on the marginalized democracies of the world begins by presenting the lexical method for understanding democracy. It is argued that the lexical method is better than the normative and analytical methods at finding democracies in the world. The argument then turns to demonstrating, mainly through computational research conducted within the Google Books catalog, that an empirically demonstrable imbalance exists between the democracies mentioned in the literature. The remainder of the argument is given to explaining the value of working to correct this imbalance, which comes in at least three guises: (1) studying marginalized democracies can increase our options for alternative democratic actions and democratic innovations; (2) it leads to a conservation and public outreach project, which is epitomized in an “encyclopedia of the democracies”; and (3) it advocates for a decolonization of democracies’ definitions and practices and decentering academic democratic theory.
A substantial section of nongovernmental organizations (NGOs) in the global South depend on foreign funds to conduct their operations. This paper explores how the availability of foreign funding affects their downward accountability, abilities to effect social change, and their relative influence in relation to traditional grassroots, membership-based organizations (GROs), which tend not to receive such funding. Drawing on a case study of Nicaragua, we challenge the notion that foreign funding of domestic NGOs leads to the evolution of civil society organizations, which have incentives and abilities to organize the marginalized sections of society in ways to effect social change in their interests. Instead, we find that foreign funding and corresponding professionalization of the NGO sector creates dualism among domestic civil society organizations. Foreign funding enhances the visibility and prestige of the “modern” NGO sector over traditional GROs. This has grave policy implications because foreign-funded NGOs tend to be more accountable to donors than beneficiaries and are more focused on service delivery than social change-oriented advocacy.
Some years ago, I was inspired by Foucault’s (1981) extraordinary statement at Stanford University that ‘Our societies have proved to be really demonic since they happened to combine those two games – the city-citizen game and the shepherd-flock game – within what we call modern states’ (239). So much was this the case that I cited the term ‘demonic societies’ in the title of a modest essay (Dean, 2001). One of the stranger effects of higher education’s neo-liberalization – to which a chapter is devoted in Wendy Brown’s important book – was that all research ‘outputs’ would be put in an online repository by the library. Libraries, which had hitherto been charged with the collection and organization of knowledge, would now be instruments in the management of the performance of academics. This cannot be a very satisfying job, which I imagine falls to those whose positions are among the most precarious of library staff. In any case, my essay was placed there not as ‘“Demonic societies”: liberalism, biopolitics and sovereignty’ but as ‘Democratic societies…’, and without the inverted commas of the original.
The notion that democracy is a system is ever present in democratic theory. However, what it means to think systemically about democracy (as opposed to what it means for a political system to be democratic) is under-elaborated. This article sets out a meta-level framework for thinking systemically about democracy, built upon seven conceptual building blocks, which we term (1) functions, (2) norms, (3) practices, (4) actors, (5) arenas, (6) levels, and (7) interactions. This enables us to systematically structure the debate on democratic systems, highlighting the commonalities and differences between systems approaches, their omissions, and the key questions that remain to be answered. It also enables us to push the debate forward both by demonstrating how a full consideration of all seven building blocks would address issues with existing approaches and by introducing new conceptual clarifications within those building blocks.
The volumes of historical data locked behind unstructured formats have long been a challenge for researchers in the computational humanities. While optical character recognition (OCR) and natural language processing have enabled large-scale text mining projects, the irregular formatting, inconsistent terminology and evolving printing practices complicate automated parsing and information extraction efforts for historical documents. This study explores the potential of large language models (LLMs) in processing and structuring irregular and non-standardized historical materials, using the U.S. Department of Agriculture’s Plant Inventory books (1898–2008) as a test case. Given the frequent evolution of these historical records, we implemented a pipeline combining OCR, custom segmentation rules and LLMs to extract structured data from the scanned texts. It provides an example of how incorporating LLMs into data-processing pipelines can enhance the accessibility and usability of historical and archival materials for scholars.
Insight into psychosis is a multidimensional construct involving awareness of illness, attribution of symptoms, and perceived need for treatment. Despite extensive research, substantial variability in how insight is conceptualized and measured continues to hinder clinical assessment and cross-study comparisons.
Methods
Following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines and a registered International Prospective Register of Systematic Reviews protocol (CRD42024558386), we conducted a systematic search across five databases (n = 2,184). Twenty-nine studies met the inclusion criteria, comprising 15 primary scale development papers and 10 independent validation studies. We included instruments explicitly designed to assess insight in schizophrenia-spectrum, and evaluated them using the COnsensus-based Standards for the selection of health Measurement INstruments Risk of Bias checklist. Psychometric domains assessed included content validity, structural validity, construct validity, criterion validity, internal consistency, reliability, responsiveness, and interpretability.
Results
Fifteen distinct insight scales were identified, comprising nine clinician-rated instruments, five self-report tools, and one hybrid format. Most demonstrated adequate content and structural validity, with 11 achieving ‘very good’ reliability ratings. Four scales showed the strongest overall psychometric support. However, responsiveness to clinical change was rarely tested, and cross-cultural validation remained limited. Earlier instruments primarily emphasized clinician-rated illness awareness, whereas more recent tools incorporated cognitive, neurocognitive, and subjective dimensions. Discrepancies between self-report and clinician ratings were common and often clinically meaningful. These findings underscore the need for multidimensional, psychometrically robust, and context-sensitive tools to advance both clinical assessment and research on insight in psychotic disorders.
In 1974 Geoffrey Chew, building on work by H. C. Robbins Landon, established that Haydn quoted a melody that has come to be known as the ‘night watchman’s song’ on at least seven occasions. Most of these works date from the earlier part of the composer’s career – divertimentos and pieces with baryton, as well as Symphony No. 60, ‘Il Distratto’, of 1774. A canon from the 1790s, ‘Wunsch’, represents a late engagement with the tune, while it is also used in the minuet-finale of the Sonata in C Sharp Minor, one of a set of six sonatas published in 1780. The melody has been found in many sources dispersed over a wide area of central Europe, principally Austria, Bohemia, and Moravia, dating at the least comfortably back into the seventeenth century.
As both human longevity and diagnostic ability improve, more individuals are being diagnosed with Alzheimer’s dementia disease (Alzheimer’s). Yet there is a paucity of new Alzheimer’s research trials. One obstacle to research is the large number of Alzheimer’s patients deemed incapable of providing informed consent for clinical research. Research advance directives (RADs) offer patients the opportunity to provide informed consent before incapacity occurs. However, critics question whether RADs guarantee informed consent, claiming that due to the nature of the disease, the consenting agent is no longer the same person after becoming incapacitated. This paper assesses the debate while using a conception of personhood, informed by the latest Alzheimer’s research, which does not reduce the concept of personhood to psychological capacities. It explains how personal identity can persist despite Alzheimer’s, such that RADs can and should suffice for informed consent.
To evaluate the hospital-level impact of the COVID-19 pandemic on U.S. academic medical centers (AMCs) and assess regional variation in care delivery to inform public health emergency preparedness strategies.
Methods
We retrospectively analyzed adult inpatient discharges from 106 AMCs using Vizient® Clinical Data Base from October 2019 to December 2023. The study period was divided into pre-COVID (Oct 2019-Mar 2020), early-COVID (Apr 2020-Dec 2020), late-COVD (Jan 2021-May 2023), and post-COVID (Jun-Dec 2023). Outcomes included hospital encounters, length of stay (LOS), ICU admissions, ICU LOS, mortality, and case mix index (CMI). Mixed models assessed temporal and regional variation.
Results
Among 13.5 million discharges, monthly encounters declined during early COVID and rebounded post-COVID (P < 0.0001). Observed LOS increased from 6.2 to 6.7 days during the pandemic and remained elevated post-COVID (P < 0.0001). ICU LOS rose during early and late COVID (P < 0.0001), while ICU admission rates declined slightly over time (P = 0.0112). Mortality peaked at 3.4% during early COVID and returned to 2.8% post-COVID (P < 0.0001).
Conclusions
The COVID-19 pandemic significantly disrupted inpatient operations at U.S. AMCs, with increased LOS, ICU burden, and case complexity. By segmenting the pandemic into phases, we identified patterns in hospital performance that reflect evolving public health challenges.
A common feature of all existing organisms is their ability to adapt, survive, and even thrive in the face of danger. Evolution has endowed organisms with a myriad of defensive mechanisms, from bodily phenotypes and sensory apparatus to learning mechanisms. Humans are no different, and a wide variety of defensive mechanisms has allowed us to adapt to changing landscapes and threats. Yet, we are unique in our capacity to predict the future, to learn from others through many streams of communication vicariously, and to experience emotions consciously. In this chapter, we briefly go through the evolutionary history of defensive behaviors and how they are guided by a canonical set of ecological conditions, by the characteristics of the threat, and by the organisms’ repertoire of cognitive and sensory abilities. We explore the converging mechanisms across species and highlight the uniqueness of humans, including the rich internal representations of the dangers that allow us to experience a large array of emotions.