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Past work on closed-ended survey responses demonstrates that inferring stable political attitudes requires separating signal from noise in “top of the head” answers to researchers’ questions. We outline a corresponding theory of the open-ended response, in which respondents make narrow, stand-in statements to convey more abstract, general attitudes. We then present a method designed to infer those attitudes. Our approach leverages co-variation with words used relatively frequently across respondents to infer what else they could have said without substantively changing what they meant—linking narrow themes to each other through associations with contextually prevalent words. This reflects the intuition that a respondent may use different specific statements at different points in time to convey similar meaning. We validate this approach using panel data in which respondents answer the same open-ended questions (concerning healthcare policy, most important problems, and evaluations of political parties) at multiple points in time, showing that our method’s output consistently exhibits higher within-subject correlations than hand-coding of narrow response categories, topic modeling, and large language model output. Finally, we show how large language models can be used to complement—but not, at present, substitute—our “implied word” method.
Analysts often seek to compare representations in high-dimensional space, e.g., embedding vectors of the same word across groups. We show that the distance measures calculated in such cases can exhibit considerable statistical bias, that stems from uncertainty in the estimation of the elements of those vectors. This problem applies to Euclidean distance, cosine similarity, and other similar measures. After illustrating the severity of this problem for text-as-data applications, we provide and validate a bias correction for the squared Euclidean distance. This same correction also substantially reduces bias in ordinary Euclidean distance and cosine similarity estimates, but corrections for these measures are not quite unbiased and are (non-intuitively) bimodal when distances are close to zero. The estimators require obtaining the variance of the latent positions. We (will) implement the estimator in free software, and we offer recommendations for related work.
In response to the COVID-19 pandemic, we rapidly implemented a plasma coordination center, within two months, to support transfusion for two outpatient randomized controlled trials. The center design was based on an investigational drug services model and a Food and Drug Administration-compliant database to manage blood product inventory and trial safety.
Methods:
A core investigational team adapted a cloud-based platform to randomize patient assignments and track inventory distribution of control plasma and high-titer COVID-19 convalescent plasma of different blood groups from 29 donor collection centers directly to blood banks serving 26 transfusion sites.
Results:
We performed 1,351 transfusions in 16 months. The transparency of the digital inventory at each site was critical to facilitate qualification, randomization, and overnight shipments of blood group-compatible plasma for transfusions into trial participants. While inventory challenges were heightened with COVID-19 convalescent plasma, the cloud-based system, and the flexible approach of the plasma coordination center staff across the blood bank network enabled decentralized procurement and distribution of investigational products to maintain inventory thresholds and overcome local supply chain restraints at the sites.
Conclusion:
The rapid creation of a plasma coordination center for outpatient transfusions is infrequent in the academic setting. Distributing more than 3,100 plasma units to blood banks charged with managing investigational inventory across the U.S. in a decentralized manner posed operational and regulatory challenges while providing opportunities for the plasma coordination center to contribute to research of global importance. This program can serve as a template in subsequent public health emergencies.
Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Biomedical Translator Consortium, we have developed a knowledge graph–based question-answering system designed to augment human reasoning and accelerate translational scientific discovery: the Translator system. We have applied the Translator system to answer biomedical questions in the context of a broad array of diseases and syndromes, including Fanconi anemia, primary ciliary dyskinesia, multiple sclerosis, and others. A variety of collaborative approaches have been used to research and develop the Translator system. One recent approach involved the establishment of a monthly “Question-of-the-Month (QotM) Challenge” series. Herein, we describe the structure of the QotM Challenge; the six challenges that have been conducted to date on drug-induced liver injury, cannabidiol toxicity, coronavirus infection, diabetes, psoriatic arthritis, and ATP1A3-related phenotypes; the scientific insights that have been gleaned during the challenges; and the technical issues that were identified over the course of the challenges and that can now be addressed to foster further development of the prototype Translator system. We close with a discussion on Large Language Models such as ChatGPT and highlight differences between those models and the Translator system.
Research on Russian troll activity during the 2016 US presidential campaign largely focused on divisive partisan messaging. Here, we document the use of apolitical content—content that could counteract mobilization efforts and escape detection in future campaigns. We argue this resembled techniques used by autocratic regimes domestically, in “flooding” social media with entertainment content to distract from and displace mobilizing messaging. Using automated text analysis and hand coding to construct a timeline of IRA messaging on Twitter, we find left-leaning trolls posted large volumes of entertainment content in their artificial liberal community and shifted away from political content late in the campaign. Simultaneously, conservative trolls were targeting their community with increases in political content. This suggests the use of apolitical content might be an overlooked strategy to selectively manipulate levels of attention to politics.
The appendix outlines the micronations that we have explored or examined in this book. As we have noted, the nature of micronationalism and the ease with which they can be founded (and abandoned) means that our list and our study is necessarily incomplete. We have nonetheless endeavoured to note some of the more prominent micronations. In doing so, our list focuses on those that claim physical territory rather than virtual entities.
In declaring independence, drafting a constitution, regulating citizenship and issuing passports, micronations position themselves as rival sites of authority. In this chapter, we explore the different ways that internationally recognised states respond to micronations’ claims to sovereignty. This chapter reveals that even though micronations are largely ignored in the international relations, political science and legal literature, in practice states must take notice and consider appropriate ways to engage. In some cases, perceiving their existence as a provocation or threat to their own claims of authority and to jurisdiction, states act in swift and decisive ways to foreclose micronations’ scope of action. In other cases, states determine to ignore micronations, considering them to be unserious or unthreatening. In all circumstances, however, states deny the international legal personality of micronations and ensure that any encounter occurs entirely within and according to domestic law.
This chapter develops a detailed conceptual framework for micronations to better understand and interrogate their common features and considerable diversity. It does so by comparing and contrasting micronations to recognised sovereign states and other state-like entities. As we explain, a wide variety of entities with more or less effective government, more or less legitimate claims to statehood, and more or less recognition and acceptance by individual states and the international community, exist around the world. By developing a ‘statehood spectrum’ along which a range of state and state-like entities may be placed, these complexities can be unravelled and a clearer picture of what makes micronations distinct emerges. We find that micronations are self-declared nations that perform and mimic acts of sovereignty, and adopt many of the protocols of nations, but lack a foundation in domestic and international law for their existence and are not recognised as nations in domestic or international forums.
In 1967, Roy Bates, a former major in the British Army, declared himself the ruler of a decommissioned offshore naval fort outside the United Kingdom’s territorial waters in an effort to bypass legal restrictions on radio broadcasting. In 1977, Leonard Casley of the Principality of Hutt River, a 75-square-kilometre wheat farm, cabled a telegram to the Governor-General of Australia declaring war in an attempt to force his larger neighbour to recognise the Principality’s sovereignty. In 1992, Dean Kamen, the inventor of the Segway and ruler of the Kingdom of North Dumpling, a three-acre island off the coast of Connecticut, convinced his friend, President George HW Bush, to sign a faux non-aggression pact between their two countries. Micronations challenge and seek to engage with recognised states in diverse ways. Although none of these micronations achieved legal recognition, they considered their efforts a success. In compelling the state to respond, they considered that the state treated them – if only for a moment – as an equal.
In our conclusion, we consider the future of micronationalism. We begin by outlining five major themes gleaned from our exploration of micronations. We examine the relationship between micronations and recognised states, the creativity needed to identify supposed fissures in international and domestic law to build a (doomed) case for independence, the diversity of this phenomenon, the transitory nature of micronations, and the gendered quality of micronationalism. Recognising the varied motivations that underpin the decision to establish one’s own country, we then consider in detail the value gained by claiming statehood. Finally, we conclude by asking whether micronations succeed or fail. Even though no micronation has ever become a recognised sovereign state, we argue that the future of micronationalism is anything but gloomy.
Micronations are incredibly diverse. Some micronations are speculative experiments in statehood, perhaps utopian examples of how nations could or should be organised. Others are established for personal entertainment, fantasy or artistic expression. Where a town or small community supports the idea, micronationalism can even promote tourism and deliver an economic boost to a region. Others still are formed to challenge and critique statehood and sovereign authority or as a way to make quick money by fair or foul means. Some of the more enduring micronations emerge as personal grievances take on a political dimension as anger, frustration and desperation push individuals into taking extreme action. In this chapter, we undertake a survey of some of the most prominent micronations by focusing on the myriad of (often overlapping) motivations for their creation. This study complements our definition and conceptual framework, explored in the previous chapter, by expanding our knowledge of the justifications provided for micronations and the assorted rationales that underlie their assertions of statehood.
Micronations challenge existing conceptions of statehood and international legal personality. They do so by engaging in the rituals of statehood rather than contesting them. In practice, this means that although usually unqualified or unskilled in law, proponents act through their understanding of the law rather than acting outside the law. In this chapter we explore in more detail how micronations assert and perform sovereignty. We examine the legal instruments that micronationalists identify when seeking to find a lawful basis to justify secession and proclaim their independence, and outline their strained legal arguments.
A national survey characterized training and career development for translational researchers through Clinical and Translational Science Award (CTSA) T32/TL1 programs. This report summarizes program goals, trainee characteristics, and mentorship practices.
Methods:
A web link to a voluntary survey was emailed to 51 active TL1 program directors and administrators. Descriptive analyses were performed on aggregate data. Qualitative data analysis used open coding of text followed by an axial coding strategy based on the grounded theory approach.
Results:
Fifty out of 51 (98%) invited CTSA hubs responded. Training program goals were aligned with the CTSA mission. The trainee population consisted of predoctoral students (50%), postdoctoral fellows (30%), and health professional students in short-term (11%) or year-out (9%) research training. Forty percent of TL1 programs support both predoctoral and postdoctoral trainees. Trainees are diverse by academic affiliation, mostly from medicine, engineering, public health, non-health sciences, pharmacy, and nursing. Mentor training is offered by most programs, but mandatory at less than one-third of them. Most mentoring teams consist of two or more mentors.
Conclusions:
CTSA TL1 programs are distinct from other NIH-funded training programs in their focus on clinical and translational research, cross-disciplinary approaches, emphasis on team science, and integration of multiple trainee types. Trainees in nearly all TL1 programs were engaged in all phases of translational research (preclinical, clinical, implementation, public health), suggesting that the CTSA TL1 program is meeting the mandate of NCATS to provide training to develop the clinical and translational research workforce.
Political disagreement is a fact of life. It can prompt people to stand for public office and agitate for political change. Others take a different route; they start their own nation. Micronations and the Search for Sovereignty is the first comprehensive examination of the phenomenon of people purporting to secede and create their own country. It analyses why micronations are not states for the purposes of international law, considers the factors that motivate individuals to separate and found their own nation, examines the legal justifications that they offer and explores the responses of recognised sovereign states. In doing so, this book develops a rich body of material through which to reflect on conventional understandings of statehood, sovereignty and legitimate authority. Authored in a lively and accessible style, Micronations and the Search for Sovereignty will be valuable reading for scholars and general audiences.
Ecosystem modeling, a pillar of the systems ecology paradigm (SEP), addresses questions such as, how much carbon and nitrogen are cycled within ecological sites, landscapes, or indeed the earth system? Or how are human activities modifying these flows? Modeling, when coupled with field and laboratory studies, represents the essence of the SEP in that they embody accumulated knowledge and generate hypotheses to test understanding of ecosystem processes and behavior. Initially, ecosystem models were primarily used to improve our understanding about how biophysical aspects of ecosystems operate. However, current ecosystem models are widely used to make accurate predictions about how large-scale phenomena such as climate change and management practices impact ecosystem dynamics and assess potential effects of these changes on economic activity and policy making. In sum, ecosystem models embedded in the SEP remain our best mechanism to integrate diverse types of knowledge regarding how the earth system functions and to make quantitative predictions that can be confronted with observations of reality. Modeling efforts discussed are the Century ecosystem model, DayCent ecosystem model, Grassland Ecosystem Model ELM, food web models, Savanna model, agent-based and coupled systems modeling, and Bayesian modeling.
We describe 14 yr of public data from the Parkes Pulsar Timing Array (PPTA), an ongoing project that is producing precise measurements of pulse times of arrival from 26 millisecond pulsars using the 64-m Parkes radio telescope with a cadence of approximately 3 weeks in three observing bands. A comprehensive description of the pulsar observing systems employed at the telescope since 2004 is provided, including the calibration methodology and an analysis of the stability of system components. We attempt to provide full accounting of the reduction from the raw measured Stokes parameters to pulse times of arrival to aid third parties in reproducing our results. This conversion is encapsulated in a processing pipeline designed to track provenance. Our data products include pulse times of arrival for each of the pulsars along with an initial set of pulsar parameters and noise models. The calibrated pulse profiles and timing template profiles are also available. These data represent almost 21 000 h of recorded data spanning over 14 yr. After accounting for processes that induce time-correlated noise, 22 of the pulsars have weighted root-mean-square timing residuals of $<\!\!1\,\mu\text{s}$ in at least one radio band. The data should allow end users to quickly undertake their own gravitational wave analyses, for example, without having to understand the intricacies of pulsar polarisation calibration or attain a mastery of radio frequency interference mitigation as is required when analysing raw data files.