It is sometimes assumed that large language models (LLMs) know language, or for example that they know that Paris is the capital of France. But what—if anything—do LLMs actually know? In this paper, I argue that LLMs can acquire tacit knowledge as defined by Martin Davies (1990). Whereas Davies himself denies that neural networks can acquire tacit knowledge, I demonstrate that certain architectural features of LLMs satisfy the constraints of semantic description, syntactic structure, and causal systematicity. Thus, tacit knowledge may serve as a conceptual framework for describing, explaining, and intervening on LLMs and their behavior.

How do bribes and lobbying distort judgment? In our experiment, referees are tasked with judging a worker’s performance, and awarding a bonus to workers who score above a certain threshold. We find that bribes and lobbying are both distortionary, but in different ways. Whereas lobbying increases the number of workers receiving a bonus, bribes weaken the relationship between performance and success, with bonuses mostly being awarded to workers who bribe. We discuss implications for anti-corruption interventions.

Traditional psychological research has often treated inter-subject variability as statistical noise (even, nuisance variance), focusing instead on averages rather than individual differences. This approach has limited our understanding of the substantial heterogeneity observed in neuropsychiatric disorders, particularly autism spectrum disorder (ASD). In this introduction to a special issue on this theme, we discuss recent advances in cognitive computational neuroscience that can lead to a more systematic notion of core symptom dimensions that differentiate between ASD subtypes. These advances include large participant databases and data-sharing initiatives to increase sample sizes of autistic individuals across a wider range of cultural and socioeconomic backgrounds. Our perspective helps to build bridges between autism symptomatology and individual differences in autistic traits in the non-autistic population and introduces finer-grained dynamic methods to capture behavioral dynamics at the individual level. We specifically focus on how cognitive computational models have emerged as powerful tools to better characterize autistic traits in the general population and autistic population, particularly with respect to social decision-making. We finally outline how we can combine and harness these recent advances, on the one hand, big data initiatives, and on the other hand, cognitive computational models, to achieve a more systematic and nuanced understanding of autism that can lead to improved diagnostic accuracy and personalized interventions.

The Tertiary Sierra La Vasca intrusive complex of the Mexican Eastern Alkaline Province consists of diverse alkaline-to-peralkaline granitoids and syenites and is a rare example of silica oversaturated peralkaline magmatism characterized by eudialyte. The intrusion of these peralkaline rocks into Cretaceous carbonate country rocks resulted in the development of a unique cuspidine, Zr-bearing cuspidine, hiortdahlite and wollastonite exoskarn. This study is focussed on a eudialyte-bearing vein and accompanying banded exoskarn which illustrates the unusual skarn-forming metasomatic effects of Zr mobilization. The skarn consists of six mineralogically distinct zones: (1) a parental Nb-poor eudialyte-bearing quartz granitoid vein; (2) a region of eudialyte pseudomorphed by intergrown Zr-sorosilicates; (3) an andradite–cuspidine–hiortdahlite–wöhlerite zone; (4) a zone of skeletal-to-prismatic cuspidine plus wollastonite which is transitional to zone (5); a coarser grained and heterogeneous zone consisting of complex intergrowths of tabular and prismatic cuspidine–hiortdahlite solid solutions, wollastonite, fluorite, apatite and rare calcite; (6) a contact calcite marble lacking any metasomatic silicates, phosphates or fluorite. Skarn formation was the result of alteration of eudialyte and separation of Si-rich hydrothermal fluids with high F/H2O ratios from the parental Si-oversaturated peralkaline magma and subsequent infiltration of Si–Zr–REE–P-bearing fluids into the country rock carbonates. Zircon was probably transported as Zr-fluoride and chloride complexes and the acidic fluids reacted with calcite to form cuspidine–hiortdahlite solid solutions and wollastonite as the principal skarn minerals. All of the Si required to form this unique skarn assemblage was derived from the hydrothermal fluids as the country rocks do not contain Si-bearing minerals. Skarn formation is considered to have occurred at temperatures below 500°C.

Late Antique Cyprus – autocephalous in relation to the Christian ecclesial systems of organization, with island ports accepting the traffic of continental Mediterranean cities, replete with beautiful mosaics, still echoing with the powerful voice of heresiologist-bishop Epiphanius – deserves even more attention than it has received of late. The two volumes under review attend to the island and inspire future directions for research. The collected papers in Cyprus in the Long Late Antiquity: History and Archaeology between the Sixth and Eighth Centuries (2023), edited by P. Panayides and I. Jacobs, and G. Deligiannakis's A Cultural History of Late Roman Cyprus (2022) come at a moment when academic inquiry into this region and period is actively raising new questions with new data, while also reevaluating points long considered.

This article presents new estimates of the material living standards among the rural population in southern Sweden from the 1670s up to 1865. The development of rural consumer patterns over the period is analyzed using a newly constructed database of 1665 probate inventories from three benchmark periods. It finds that that all rural households, no matter their socioeconomic status, diversified their composition of movable goods during the eighteenth century with a special focus toward increased comfort rather than household reproduction. The most visible change was an increase and diversification of cooking- and dining-ware, the furniture necessary to store and use these, as well as greatly expanded personal wardrobes. The consumer goods and behaviors adopted by the peasants and rural laborers during the eighteenth century correspond partly to the consumer revolution spreading through Europe during the period and suggest the development of a distinctly rural consumer culture. This development coincided with a diversification of rural household production, which would have given households an extra source of income, increased their reliance on interregional markets for household reproduction, and integrated the south-Swedish countryside into the wider European market from which the new consumer goods and habits associated with the consumer revolution could be introduced.

Glacier dirt cones are meter-scale cones of ice covered with sediment and rock. The cones develop through a process known as differential melt, whereby ice underlying thick debris melts more slowly than bare ice. We report observations of dirt cones on the Kuskulana Glacier, Alaska and develop a model that simulates the growth of dirt cones from debris-filled pits in the ice. With this model, we vary ice melt rates, hillslope debris diffusion rates and pit geometry. Cone heights scale with the square root of debris volume and growth occurs in three distinct stages: emergence, flux-controlled growth and melt-controlled growth. Using dimensional analysis, we derive a characteristic length composed of the ratio of the debris diffusion rate (D) and the bare ice melt rate (b0). Shorter characteristic lengths produce taller, steeper cones. The characteristic length ($\ell = D/b_0$) determines, in part, the relative duration of each growth stage because it controls debris flux as relief increases. These experiments suggest increasing melt rates and low-mobility debris increase relief on hummocky debris-covered glaciers. Furthermore, the modeling approach demonstrates a method for handling debris transport over an irregular ice surface and could serve as a component in more comprehensive debris-covered glacier models.

Most scholars hold a skeptical view of the war elephant of ancient India. I show that the skepticism of present-day historians derives from ancient Rome, at the end of the Republic and the beginning of the Empire, when the Romans, having defeated the elephant-deploying powers of the Hellenistic period, ended the use of war elephants in its growing empire for all time. Late Roman war elephant skepticism was taken up by Quintus Curtius Rufus, who embraced it and strengthened it rhetorically in speeches he devised and put into Alexander’s mouth, in his history of Alexander. In this way Roman skepticism about the value of the Indian war elephant was attributed to Alexander, two centuries previous to its formation among the Romans. In modern times the late Roman view that elephants have a tendency to panic and become a greater danger to their own side was turned into a settled truth about elephant physiology, but it does not accord with the evidence offered.

This article revisits and attempts to explain the failure of settlement in England between the outbreak of civil war in late 1642 and the execution of Charles I in January 1649. It argues that doubts about the process—and not just the proposed terms—of settlement worked against the possibility of an accommodation in the 1640s. An influential parliamentarian faction regarded negotiated treaties as inherently problematic instruments of peacemaking, which were unable to provide adequate security against the possibility of future abrogation and vengeance on the part of the king. While widespread anxieties about royal dissimulation were partly a product of the “statist” paradigms of political analysis that had become firmly established across Europe by the mid-seventeenth century, specific events in England during the 1640s served to reinforce and accentuate them. Moreover, as the decade progressed there was an increasing tendency to see duplicity, dissimulation, and vengefulness as inseparable features of monarchy, and thus a negotiated peace between prince and people after civil war as an impossibility. Ultimately, these concerns formed an integral, if often overlooked, justification for the regicide.

Obesity is a major health problem among people with severe mental illness, linked to increased risk of chronic diseases and reduced life expectancy. This is attributable to a combination of factors, including lifestyle, social circumstances, medication side-effects and the illness itself. Second-generation antipsychotics are particularly associated with weight gain, affecting treatment adherence, symptoms and quality of life.

There has been an increasing number of applications from unaccompanied asylum-seeking children (UASC) in the United Kingdom in recent years. It is well-known that this population is at high-risk of developing mental health disorders, which require early detection and intervention to facilitate successful integration. This paper describes the introduction of mental health screening for unaccompanied asylum-seeking children in a National Health Service (NHS) outpatient clinic in central London. This follows the results of a two-year retrospective analysis of the health needs of the population in our clinic, which identified a high incidence of disturbance to mood and sleep. We describe the selection process for a culturally appropriate and validated screening tool, piloting the Refugee Health Screener (RHS) tool with 20 UASC in clinic, and using preliminary findings to inform a more targeted referral to community Child and Adolescent Mental Health Services (CAMHS). We conclude that implementation of the RHS-13 is feasible for widespread mental health screening for UASC in an NHS setting, and provide suggestions for future research directions within this field.

One of the most significant challenges in research related to nutritional epidemiology is the achievement of high accuracy and validity of dietary data to establish an adequate link between dietary exposure and health outcomes. Recently, the emergence of artificial intelligence (AI) in various fields has filled this gap with advanced statistical models and techniques for nutrient and food analysis. We aimed to systematically review available evidence regarding the validity and accuracy of AI-based dietary intake assessment methods (AI-DIA). In accordance with PRISMA guidelines, an exhaustive search of the EMBASE, PubMed, Scopus and Web of Science databases was conducted to identify relevant publications from their inception to 1 December 2024. Thirteen studies that met the inclusion criteria were included in this analysis. Of the studies identified, 61·5 % were conducted in preclinical settings. Likewise, 46·2 % used AI techniques based on deep learning and 15·3 % on machine learning. Correlation coefficients of over 0·7 were reported in six articles concerning the estimation of calories between the AI and traditional assessment methods. Similarly, six studies obtained a correlation above 0·7 for macronutrients. In the case of micronutrients, four studies achieved the correlation mentioned above. A moderate risk of bias was observed in 61·5 % (n 8) of the articles analysed, with confounding bias being the most frequently observed. AI-DIA methods are promising, reliable and valid alternatives for nutrient and food estimations. However, more research comparing different populations is needed, as well as larger sample sizes, to ensure the validity of the experimental designs.

We document significant time-series and cross-sectional momentum in 28 equity option factors. Factor momentum is distinct from a static factor portfolio, and prominent option factor models cannot fully explain its returns. Despite high autocorrelation, factor momentum profits are mainly driven by high and persistently different mean factor returns in the case of longer formation periods. Option factor momentum fully subsumes option momentum, but not vice versa. Our findings are robust over time, across various market states, and for alternative momentum strategy constructions.

Lionfish, as an invasive species, significantly disrupts marine ecosystems. Promoting lionfish as eatable seafood among consumers may effectively reduce the lionfish population, alleviating its impact on marine ecosystems. The primary goal of this article is to assess lionfish’s market potential and determine an effective policy instrument to nudge consumers’ preference for lionfish. Discrete choice experiments are used to elicit consumer preferences for seafood dishes. In addition, we use a split-sample approach to test the effects of providing information about the ecological benefit of eating lionfish. Results indicate that consumer willingness-to-pays for other fish species were substantially higher than that of lionfish, even with the information treatment.

The Damna Usuum was a series of complaints about the operation of uses written during the negotiations with the Commons which culminated in the Statute of Uses (1536). Through detailed analysis of the manuscript, this paper demonstrates that the Damna Usuum has been misunderstood by legal historians. Rather than being a public document intended to persuade the Commons to support reform; the Damna Usuum can be shown to be a series of rough notes prepared by the Crown’s lawyers ahead of their negotiations with the Commons. Furthermore, this has a significant impact on our understanding of how contemporary lawyers conceptualised pre-1536 uses in a period in which they had taken on more proprietary “thing-like” characteristics.