Researchers increasingly rely on aggregations of radiocarbon dates from archaeological sites as proxies for past human populations. This approach has been critiqued on several grounds, including the assumptions that material is deposited, preserved, and sampled in proportion to past population size. However, various attempts to quantitatively assess the approach suggest there may be some validity in assuming date counts reflect relative population size. To add to this conversation, here we conduct a preliminary analysis coupling estimates of ethnographic population density with late Holocene radiocarbon dates across all counties in California. Results show that counts of late Holocene radiocarbon-dated archaeological sites increase significantly as a function of ethnographic population density. This trend is robust across varying sampling windows over the last 5000 BP. Though the majority of variation in dated-site counts remains unexplained by population density. Outliers reveal how departures from the central trend may be influenced by regional differences in research traditions, development-driven contract work, organic preservation, and landscape taphonomy. Overall, this exercise provides some support for the “dates-as-data” approach and offers insights into the conditions where the underlying assumptions may or may not hold.

Education is perhaps the most generally used independent variable in the fields of public opinion and vote choice. Yet the extent to which a person is educated is just one way in which education may affect political beliefs and behavior. In this article, we suggest that the substantive field of education has an independent and important role to play over and above level. Using cross-national evidence for 15 European countries we find that a person’s field of education is robustly significant and substantively strong in predicting voting for GAL and TAN parties that have transformed European party systems. Analysis of panel data suggests that the effect of educational field results from self-selection, a direct effect during education, and a post-education effect in occupation.

The evolution of the colour of Othello’s skin-tone is a surprisingly accurate cultural barometer of attitudes towards race in the eyes of scholars. A significant portion of the critical literature is focused upon the Moor’s complexion as one of the main variables within the play. Yet the fact that the script has itself become a variable, and not a constant, has been neglected. This text’s transformation can be traced alongside the ratification of racial laws. In Jacobean England, Antebellum American, and Imperial Germany, audiences respectively experienced Othello committing divergent crimes, ranging from murder-suicide, to marriage, to simply existing. These countries’ racial legislation coloured the various audience interpretations of the Moor. While Othello’s actions were always the same, the public projected their own attributed meanings onto the play – a practice analogous to a living Rorschach test. This article explores the concept of using a metaphorical Rorschach test as a tool for the historicization of the many colours of Othello.

We emphasise the existence of two distinct neurophysiological subtypes in schizophrenia, characterised by different sites of initial grey matter loss. We review evidence for potential neuromolecular mechanisms underlying these subtypes, proposing a biologically based disease classification approach to unify macro- and micro-scale neural abnormalities of schizophrenia.

We introduce the notions of quasi-Laurent and Laurent families of simple modules over quiver Hecke algebras of arbitrary symmetrizable types. We prove that such a family plays a similar role of a cluster in quantum cluster algebra theory and exhibits a quantum Laurent positivity phenomenon similar to the basis of the quantum unipotent coordinate ring $\mathcal {A}_q(\mathfrak {n}(w))$, coming from the categorification. Then we show that the families of simple modules categorifying Geiß–Leclerc–Schröer (GLS) clusters are Laurent families by using the Poincaré–Birkhoff–Witt (PBW) decomposition vector of a simple module $X$ and categorical interpretation of (co)degree of $[X]$. As applications of such $\mathbb {Z}\mspace {1mu}$-vectors, we define several skew-symmetric pairings on arbitrary pairs of simple modules, and investigate the relationships among the pairings and $\Lambda$-invariants of $R$-matrices in the quiver Hecke algebra theory.

The paper analyses the potential impact on monetary policy transmission stemming from the adoption of a central bank digital currency (CBDC). Bank funding conditions and potential profitability effects are the main channels through which CBDC could have a bearing on monetary policy transmission via banks. As is the case for banknotes, the central bank balance sheet identity operates in effect as an aggregate consistency restriction that prevents CBDC from creating funding scarcity for the banking system as a whole. However, without policy neutralising actions, the new resulting bank funding mix might be less favourable for banks, thus potentially leading to suboptimal outcomes from a monetary policy perspective, such as restrictions in credit supply. Analysing the transmission channels through which banks obtain the necessary reserves suggests that a CBDC could have a material impact on bank lending conditions only if some relevant frictions, such as collateral constraints or liquidity shortages, materialise. Adverse funding conditions, such as those arising from lower bank liquidity or difficulty to access central bank funding or to tap the bond market, further paired with a large demand for CBDC, could affect bank lending conditions and the transmission of monetary policy. Importantly, even in this case, careful design, and implementation, as well as attentive communication can limit an unwarranted tightening coming from funding and liquidity tensions due to the rollout of CBDC. In addition, the central bank could take specific action to prevent or neutralise unwarranted impacts in order to maintain its desired monetary policy stance. In the longer term, a digital euro could support the digitalisation of the euro area banking sector, levelling the playing field for banks more exposed to competition from new players like big tech firms.