Tim Blanning & Hagen Schulze: IntroductionJames Sheehan: Art and its Publics, c. 1800Silke Leopold: The Idea of National Opera around 1800John Deathridge: The Invention of German Music, c. 1800Peter Alter: Playing with the Nation: Napoleon and the Culture of NationalismSiegfried Weichlein: Cosmopolitanism, Patriotism, NationalismPeter Mandler: Art in a Cool Climate: The Cultural Policy of the British State in European Context, c. 1780- c. 1850Otto Dann: The Invention of National LanguagesHans-Erich Bödeker: The Debates about Universal History and National History around (...) 1800: A Problem-oriented Historical AttemptVincent Morley: Views of the Past in Irish Vernacular Literature, 1650-1850. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Meanings and Function of Anti-System Ideology in the Weimar RepublicBen LiebermanThere are few, if any, ideological terms in the extensive historiography of the Weimar Republic so omnipresent and yet at the same time so obscure as the word “system.” Historical accounts of the Weimar Republic are strewn with references to the “system.” In recent works on the Weimar Republic Hagen Schulze points to the opposition of bourgeois (...) (bürgerliche) parties to the “Weimar ‘system,’ “ Detlev Peukert notes “hatred of ‘the system,’ the political and social order of the Republic”; Knut Borchardt observes the loss of faith in the capacity of “the system” to satisfy expectations; and Hans Mommsen refers to the “political system,” the “party system” and the “parliamentary system.” 1Historians, whatever their other differences, agree that mounting opposition to the System weakened the Weimar Republic, but the usefulness of this observation requires analysis of the meaning or meanings of the System. What, then, was the Weimar System? Surprisingly, many accounts of the Weimar Republic do not even attempt to provide a definition of the System, and the term receives only cursory treatment in several specialized works on ideology of the Weimar era. 2 Anti-System politics does receive attention, but Thomas [End Page 355] Childers’s insightful and pioneering essay on “anti-system politics” concentrates on mobilization against the System rather than on the problem of defining it. 3The best existing analysis of the System in Kurt Sontheimer’s valuable study of anti-democratic thought in the Weimar Republic suggests that historians cannot take the meaning of the term as a given. Sontheimer establishes that the System formed part of the array of anti-democratic thought of the Weimar Republic, but he also notes that the term’s meaning cannot easily be pinned down. The System conveyed a variety of political and economic meanings and ultimately formed a “nationalist counter myth.” 4During the Weimar Republic, attacks against the System emanated from a wide range of sources, most notably from a variety of nationalists as well as from Communists. Nationalists of many leanings detested the System. The DNVP (German National People’s Party), the largest political party of the right for most of the Weimar Republic, hated the System. So, too, did conservative revolutionaries and völkisch (ethnic or racist nationalist) groups including nationalist associations and the National Socialists. At the other end of the political spectrum, attacks against the System also surfaced in the pronouncements of the KPD (German Communist Party). 5No single ideological line of attack doomed the Weimar Republic, but use by an extraordinarily broad range of political groups lent tremendous force to anti-System discourse. Adopted by foes who sometimes agreed on little else, the System was the targets of repeated attacks spread across the German political spectrum and called into question Weimar legitimacy. Analyzing this broad pattern of use raises several tasks. As a prelude to investigating anti-System terminology, it is necessary to map out the patterns of use of the System during the Weimar Republic. The very ability of rival groups to adopt anti-System suggests that the System incorporated varied meanings.Beyond investigating the meaning or meanings of the System, an analysis of anti-System terminology should also explore the appeal and influence of anti-System terminology. Why did such a broad range of groups adopt anti-System discourse, and how did acceptance of anti-System terminology help to discredit the Weimar Republic and designate alternatives for Germany’s future? [End Page 356]Describing Weimar’s perceived failings, anti-System terminology simultaneously provided a partial guide to a presumably-better Germany without the System. The System came to envelop many institutions of German public life, but attention should also be paid to spaces left unoccupied by the System. What, if any, institutions or structures of public life were left untainted by the broad wave of attacks against the System? If the hated System could be swept away, what would be left in its place? It is noteworthy that the many enemies of the System generally desired a strong state.Exploring the effects of broad attacks against the System, analysis of the System should also... (shrink)

Band 1. Schriften, Dokumente, Briefe -- Band 2. Einleitung, Kommentar, Register.

This study tested four theoretical models of leadership with data from the ethnographic record. The first was a game-theoretical model of leadership in collective actions, in which followers prefer and reward a leader who monitors and sanctions free-riders as group size increases. The second was the dominance model, in which dominant leaders threaten followers with physical or social harm. The third, the prestige model, suggests leaders with valued skills and expertise are chosen by followers who strive to emulate them. The (...) fourth proposes that in small-scale, kin-based societies, men with high neural capital are best able to achieve and maintain positions of social influence (e.g., as headmen) and thereby often become polygynous and have more offspring than other men, which positively selects for greater neural capital. Using multiple search strategies we identified more than 1000 texts relevant to leadership in the Probability Sample of 60 cultures from the Human Relations Area Files (HRAF). We operationalized the model with variables and then coded all retrieved text records on the presence or absence of evidence for each of these 24 variables. We found mixed support for the collective action model, broad support for components of the prestige leadership style and the importance of neural capital and polygyny among leaders, but more limited support for the dominance leadership style. We found little evidence, however, of emulation of, or prestige-biased learning toward, leaders. We found that improving collective actions, having expertise, providing counsel, and being respected, having high neural capital, and being polygynous are common properties of leaders, which warrants a synthesis of the collective action, prestige, and neural capital and reproductive skew models. We sketch one such synthesis involving high-quality decision-making and other computational services. (shrink)

Psychologists and neuroscientists extensively rely on computational models for studying and analyzing the human mind. Traditionally, such computational models have been hand-designed by expert researchers. Two prominent examples are cognitive architectures and Bayesian models of cognition. Although the former requires the specification of a fixed set of computational structures and a definition of how these structures interact with each other, the latter necessitates the commitment to a particular prior and a likelihood function that – in combination with Bayes' rule – (...) determine the model's behavior. In recent years, a new framework has established itself as a promising tool for building models of human cognition: the framework of meta-learning. In contrast to the previously mentioned model classes, meta-learned models acquire their inductive biases from experience, that is, by repeatedly interacting with an environment. However, a coherent research program around meta-learned models of cognition is still missing to date. The purpose of this article is to synthesize previous work in this field and establish such a research program. We accomplish this by pointing out that meta-learning can be used to construct Bayes-optimal learning algorithms, allowing us to draw strong connections to the rational analysis of cognition. We then discuss several advantages of the meta-learning framework over traditional methods and reexamine prior work in the context of these new insights. (shrink)

Research on success factors in football focusing on national teams is sparse. The current study examines the success factors during the World Cup 2018 in Russia and the World Cup 2014 in Brazil. A total of 128 matches were analyzed using a generalized order logit approach. Twenty-nine variables were identified from previous research. The results showed that defensive errors, goal efficiency, duel success, tackles success, shots from counterattacks, clearances, and crosses have a significant influence on winning a match during those (...) tournaments. Ball possession, distance, and market value of the teams had no influence on success. Overall, most of the critical success factors and those with the highest impact on winning close games were defensive actions. Moreover, the results suggest that direct play and pressing were more effective than ball possession play. The study contributes to a better understanding of success factors and can help to improve effectiveness of training, match preparation, and coaching. (shrink)

BackgroundKnowledge about the psychosocial experiences of sick-listed workers in the first months of sick leave is sparse even though early interventions are recommended. The aim of this study was to explore psychosocial experiences of being on sick leave and thoughts about returning to work after 8–12 weeks of sickness absence.MethodsSixteen individuals at 9–13 weeks of sick leave participated in semi-structured individual interviews. Data was analyzed through Giorgi’s descriptive phenomenological method.ResultsThree themes emerged: energy depleted, losing normal life, searching for a solution. (...) A combination of health, work, and family challenges contributed to being drained of energy, which affected both work- and non-work roles. Being on sick leave led to a loss of social arenas and their identity as a contributing member of society. Participants required assistance to find solutions toward returning to work.ConclusionEven in this early stage of long-term sick leave, sick listed workers faced complex challenges in multiple domains. Continuing sick leave was experienced as necessary but may challenge personal identity and social life. Those not finding solutions may benefit from additional early follow-up that examine work-related, social and personal factors that influence return to work. (shrink)

In recent years the possibility of using humanoid robots to perform interviews with children has been explored in a number of studies. This paper details a study in which a potential real-world user trialled a Robot-Mediated Interviewing system with children to establish if this approach could realistically be used in a real-world context. In this study a senior educational psychologist used the humanoid robot Kaspar to interview ten primary school children about a video they had watched prior to the interview. (...) We conducted a pre and post interview with the educational psychologist before and after using the system to establish how the system worked for him and the perceived potential for real-world applications. The educational psychologist successfully used the system to interview the children and believed that principally using a small humanoid robot to interview children could be useful in a real-world setting provided the system was developed further. (shrink)

We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a pattern of associations and interventions on a novel causal system. Given minimal training and no feedback, participants in Experiment 1 used causal graph notation to spontaneously draw structures containing one observed cause, one unobserved common cause, and two unobserved independent causes, depending on the pattern of associations and interventions they saw. (...) We replicated these findings with less‐informative training (Experiments 2 and 3) and a new apparatus (Experiment 3) to show that the pattern of data leads to hidden causal inferences across a range of prior constraints on causal knowledge. (shrink)

In response to several articles on SERRC, I argue that the common pejorative use of the phrase “conspiracy theory” is the fundamental basis for the distinction between generalism and particularism. That is, generalism describes the “conventional wisdom” about conspiracy theories to which particularism is the corrective. Generalism is best understood as the idea that conspiracy theories ought to be dismissed (perhaps even ridiculed) because they are conspiracy theories--for that is the conventional wisdom (as Charles Pigden has maintained). This is not (...) merely to say, vaguely, that such theories have "epistemic defects." Given this definition, particularism, as the rejection of generalism, is true for any definition of "conspiracy theory" for which Watergate would have at one time counted as one--not just for a minimal definition. Rather than being dismissed based on features that apply to conspiracy theories generally (as generalism would have it), each conspiracy theory should be judged on a case-by-case basis according to its own particular merits and demerits. (shrink)

Conspiracy Theories and the Failure of Intellectual Critique argues that conspiracy theories, including those that conflict with official accounts and suggest that prominent people in Western democracies have engaged in appalling behavior, should be taken seriously and judged on their merits and problems on a case-by-case basis. It builds on the philosophical work on this topic that has developed over the past quarter century, challenging some of it, but affirming the emerging consensus: each conspiracy theory ought to be judged on (...) its particular merits and faults. The philosophical consensus contrasts starkly with what one finds in the social science literature. Kurtis Hagen argues that significant aspects of that literature, especially the psychological study of conspiracy theorists, has turned out to be flawed and misleading. Those flaws are not randomly directed; rather, they consistently serve to disparage conspiracy theorists unfairly. This suggests that there may be a bias against conspiracy theorists in the academy, skewing “scientific” results. Conspiracy Theories and the Failure of Intellectual Critique argues that social scientists who study conspiracy theories and/or conspiracy theorists would do well to better absorb the implications of the philosophical literature. (shrink)

The philosopher Quassim Cassam has described a concept called ‘Conspiracy Theories’ (capitalized) that includes several ‘special features’ that distinguish such theories from other theories positing conspiracies. Conspiracy Theories, he argues, are unlikely to be true. Indeed, he implies that they are, as a class of ideas, so unlikely to be true that we are justified in responding to them by criticizing the ideology they are (presumed to be) associated with, rather than engaging them solely on their individual epistemic merits. This (...) article argues that Cassam’s ‘special features’ are ambiguous. Under some interpretations, they are not epistemically problematic. Under other interpretations, they do not fairly describe many of the theories Cassam treats as examples of Conspiracy Theories. In the end, there seems to be no interpretation of these features that would justify the inference that theories Cassam treats as Conspiracy Theories, including JFK Conspiracy Theories, can be reasonably dismissed on account of having these features. (shrink)

Kurtis Hagen argues that early Confucians seek to discourage war by prescribing conditions for just war that are exceedingly difficult to meet. They encourage, instead, a long-term strategy of ameliorating unjust circumstances by leveraging the credibility and influence that stems from consistently practicing genuinely benevolent governance.

In an article based on a recent address to the Royal Institute of Philosophy, Keith Harris has argued that there is something epistemically wrong with conspiracy theorizing. Although he finds “standard criticisms” of conspiracy theories wanting, he argues that there are three subtle but significant problems with conspiracy theorizing: It relies on an invalid probabilistic version of modus tollens. It involves a problematic combination of both epistemic virtues and vices. And it lacks an adequate basis for trust in its information (...) sources. In response to Harris, this article argues that, like previous criticisms, these criticisms do little to undermine conspiracy theorizing as such. And they do not give us good reasons to dismiss any particular conspiracy theory without consideration of the relevant evidence. (shrink)

Critics of conspiracy theories often charge that such theories are implausible because conspiracies of the kind they allege tend to fail. Thus, according to these critics, conspiracy theories that have been around for a while would have been, in all likelihood, already exposed if they had been real. So, they reason, they probably are not. In this article, I maintain that the arguments in support of this view are unconvincing. I do so by examining a list of four sources recently (...) cited in support of the claim that conspiracies tend to fail. I pay special attention to two of these sources, an article by Brian Keeley, and, especially, an article by David Grimes, which is perhaps the single “best” article in support of the idea that conspiracies tend to fail. That is, it offers the most explicit and elaborate attempt to establish this view. Further, that article has garnered significant (uncritical) attention in the mainstream press. I argue that Grimes's argument does not succeed, that the common assertion that conspiracies tend to fail remains poorly supported, and that there are good reasons to think that at least some types of conspiracies do not tend to fail. (shrink)

As health systems around the world turn towards highly distributed, specialized and cooperative structures to increase quality and safety of care as well as efficiency and efficacy of delivery processes, there is a growing need for supporting communication and collaboration of all parties involved with advanced ICT solutions. The Electronic Health Record (EHR) provides the information platform which is maturing towards the eHealth core application. To meet the requirements for sustainable, semantically interoperable, and trustworthy EHR solutions, different standards and different (...) national strategies have been established. The workshop summarizes the requirements for such advanced EHR systems and their underlying architecture, presents different strategies and solutions advocated by corresponding protagonists, discusses pros and cons as well as harmonization and migration strategies for those approaches. It particularly highlights a turn towards ontology-driven architectures. (shrink)

The translational research community, in general, and the Clinical and Translational Science Awards (CTSA) community, in particular, share the vision of repurposing EHRs for research that will improve the quality of clinical practice. Many members of these communities are also aware that electronic health records (EHRs) suffer limitations of data becoming poorly structured, biased, and unusable out of original context. This creates obstacles to the continuity of care, utility, quality improvement, and translational research. Analogous limitations to sharing objective data in (...) other areas of the natural sciences have been successfully overcome by developing and using common ontologies. This White Paper presents the authors’ rationale for the use of ontologies with computable semantics for the improvement of clinical data quality and EHR usability formulated for researchers with a stake in clinical and translational science and who are advocates for the use of information technology in medicine but at the same time are concerned by current major shortfalls. This White Paper outlines pitfalls, opportunities, and solutions and recommends increased investment in research and development of ontologies with computable semantics for a new generation of EHRs. (shrink)

In the social science literature, conspiracy theories are commonly characterized as theories positing a vast network of evil and preternaturally effective conspirators, and they are often treated, either explicitly or implicitly, as dubious on this basis. This characterization is based on Richard Hofstadter’s famous account of ‘the paranoid style’. However, many significant conspiracy theories do not have any of the relevant qualities. Thus, the social science literature provides a distorted account of the general category ‘conspiracy theory’, conflating it with a (...) subset of that category that encourages unfairly negative evaluations of conspiracy theories. Generally, when evaluating theories, one should focus on the most plausible versions; the merit of a theory is independent of the existence of less plausible versions of it. By ignoring this and glossing over important distinctions, many academics, especially in the social sciences, have misclassified many conspiracy theories and in doing so have contributed to an epistemically unfair depiction of them. Further, even theories that genuinely fit the description of ‘the paranoid style’ cannot be completely dismissed on that basis. All conspiracy theories ought to be judged on the totality of their individual merits. (shrink)

BACKGROUND -/- The importance of ontologies in the biomedical domain is generally recognized. However, their quality is often too poor for large-scale use in critical applications, at least partially due to insufficient training of ontology developers. -/- OBJECTIVE -/- To show the efficacy of guideline-based ontology development training on the performance of ontology developers. The hypothesis was that students who received training on top-level ontologies and design patterns perform better than those who only received training in the basic principles of (...) formal ontology engineering. -/- METHODS -/- A curriculum was implemented based on a guideline for ontology design. A randomized controlled trial on the efficacy of this curriculum was performed with 24 students from bioinformatics and related fields. After joint training on the fundamentals of ontology development the students were randomly allocated to two groups. During the intervention, each group received training on different topics in ontology development. In the assessment phase, all students were asked to solve modeling problems on topics taught differentially in the intervention phase. Primary outcome was the similarity of the students’ ontology artefacts compared with gold standard ontologies developed by the authors before the experiment; secondary outcome was the intra-group similarity of group members’ ontologies. -/- RESULTS -/- The experiment showed no significant effect of the guideline-based training on the performance of ontology developers (a) the ontologies developed after specific training were only slightly but not significantly closer to the gold standard ontologies than the ontologies developed without prior specific training; (b) although significant differences for certain ontologies were detected, the intra-group similarity was not consistently influenced in one direction by the differential training. -/- CONCLUSION -/- Methodologically limited, this study cannot be interpreted as a general failure of a guideline-based approach to ontology development. Further research is needed to increase insight into whether specific development guidelines and practices in ontology design are effective. (shrink)

We investigated people's ability to infer others’ mental states from their emotional reactions, manipulating whether agents wanted, expected, and caused an outcome. Participants recovered agents’ desires throughout. When the agent observed, but did not cause the outcome, participants’ ability to recover the agent's beliefs depended on the evidence they got. When the agent caused the event, participants’ judgments also depended on the probability of the action ; when actions were improbable given the mental states, people failed to recover the agent's (...) beliefs even when they saw her react to both the anticipated and actual outcomes. A Bayesian model captured human performance throughout, consistent with the proposal that people rationally integrate information about others’ actions and emotional reactions to infer their unobservable mental states. (shrink)

We are encouraged by the many positive commentaries on our target article. In this response, we recapitulate some of the points raised and identify synergies between them. We have arranged our response based on the tension between data and architecture that arises in the meta-learning framework. We additionally provide a short discussion that touches upon connections to foundation models.

In their target article, Salloch and Eriksen (2024) argue that a “meaningful process of interrogating” between physicians and patients is the most appropriate way to evaluate medical AI, supporting...

Flourishing‐for‐all as emerged as a concept to respond to the apparent lack of capacity to translate the sustainability discourse into actual practices conducive to more sustainable societies. In this special issue, we assert that flourishing‐for‐all addresses the gap identified in the sustainability discourse that still needs conversion into practice, and that processes for catalyzing this necessary transformation need to be identified and implemented. The eight papers in this special issue address flourishing‐for‐all from different ontological, epistemological, and methodological perspectives, demonstrating a (...) wide interest in the topic, and the shared belief that both academia and practice must go beyond sustainability to embrace flourishing‐for‐all. They bring to the fore three important features of a flourishing‐for‐all approach: First, it allows for a more profound analysis of systemic sustainability‐related problems; secondly, it highlights new relationships among the problem‐related variables; thirdly, it extends the repertory and reach of possible solutions. (shrink)

Description logics and other formal devices are frequently used as means for preventing or detecting mistakes in ontologies. Some of these devices are also capable of inferring the existence of inter-concept relationships that have not been explicitly entered into an ontology. A prerequisite, however, is that this information can be derived from those formal definitions of concepts and relationships which are included within the ontology. In this paper, we present a novel algorithm that is able to suggest relationships among existing (...) concepts in a formal ontology that are not derivable from such formal definitions. The algorithm exploits cross-lingual information that is implicitly present in the collection of terms used in various languages to denote the concepts and relationships at issue. By using a specific experimental design, we are able to quantify the impact of cross-lingual information in coping with underspecification in formal ontologies. (shrink)

To prevent ordinary people from being harmed by natural language processing (NLP) technology, finding ways to measure the extent to which a language model is biased (e.g., regarding gender) has become an active area of research. One popular class of NLP bias measures are bias benchmark datasets—collections of test items that are meant to assess a language model’s preference for stereotypical versus non-stereotypical language. In this paper, we argue that such bias benchmarks should be assessed with models from the psychometric (...) framework of item response theory (IRT). Specifically, we tie an introduction to basic IRT concepts and models with a discussion of how they could be relevant to the evaluation, interpretation and improvement of bias benchmark datasets. Regarding evaluation, IRT provides us with methodological tools for assessing the quality of both individual test items (e.g., the extent to which an item can differentiate highly biased from less biased language models) as well as benchmarks as a whole (e.g., the extent to which the benchmark allows us to assess not only severe but also subtle levels of model bias). Through such diagnostic tools, the quality of benchmark datasets could be improved, for example by deleting or reworking poorly performing items. Finally, in regards to interpretation, we argue that IRT models’ estimates for language model bias are conceptually superior to traditional accuracy-based evaluation metrics, as the former take into account more information than just whether or not a language model provided a biased response. (shrink)

Evidence suggests that humans might have neurological specializations for music processing, but a compelling adaptationist account of music and dance is lacking. The sexual selection hypothesis cannot easily account for the widespread performance of music and dance in groups (especially synchronized performances), and the social bonding hypothesis has severe theoretical difficulties. Humans are unique among the primates in their ability to form cooperative alliances between groups in the absence of consanguineal ties. We propose that this unique form of social organization (...) is predicated on music and dance. Music and dance may have evolved as a coalition signaling system that could, among other things, credibly communicate coalition quality, thus permitting meaningful cooperative relationships between groups. This capability may have evolved from coordinated territorial defense signals that are common in many social species, including chimpanzees. We present a study in which manipulation of music synchrony significantly altered subjects’ perceptions of music quality, and in which subjects’ perceptions of music quality were correlated with their perceptions of coalition quality, supporting our hypothesis. Our hypothesis also has implications for the evolution of psychological mechanisms underlying cultural production in other domains such as food preparation, clothing and body decoration, storytelling and ritual, and tools and other artifacts. (shrink)