The first decade after the end of revolutionary events in Gilan (1920–21) was a period of active attempts by the Bolsheviks, Communist International, and Communist Party of Iran to gain a solid social foothold in Iran. This article, based mainly on Russian archival sources, focuses on the dynamics of the Communist International and Communist Party of Iran guidelines, attempts and features of their implementation, and the relationship between Iranian communists and the Bolshevik and Communist International leadership. This study demonstrates that the main Red efforts between 1922–25 aimed at building an inter-class coalition, in which cooperation with Reza Khan became only a part of these broader efforts. Their failure led the Reds to return to a previously tested course of fomenting agrarian revolution in Iran and repeated fiascos. Throughout this period, the Communist Party of Iran’s leadership did not simply execute directives but instead took an active role in the decision-making process, involved the Bolsheviks in internal party struggle, and challenged high-ranking functionaries of the Communist International.

The revival of Confucianism in China reflects an effort to infuse soft power with moral authority and signals an attempt to turn ethical credibility into political legitimacy amid strategic ambition. This study examines the reception of China’s Confucian moral diplomacy in Southeast Asia, a region shaped by diverse ethical and religious traditions. Drawing on data from the sixth wave of the Asian Barometer Survey, the analysis explores how Confucian social ethics and political values affect perceptions of China’s influence at domestic, regional, and global levels, and how these relationships vary with democracy, economic ties, and territorial disputes. The results show that moral integrity, not cultural familiarity, sustains acceptance. Social ethics foster approval only when China’s actions demonstrate reciprocity and sincerity, whereas political Confucianism, rooted in hierarchy and competence, gains traction under conditions of stability and cooperation. Across contexts, Confucianism functions less as a cultural export than as a moral framework guiding how publics interpret conduct. The findings reveal a broader transformation in international politics, suggesting power now depends more on the integrity of behaviour than on the allure of culture.

This article presents novel methods and theories for estimation and inference about parameters in statistical models using machine learning for nuisance parameter estimation when data are dyadic. We propose a dyadic cross-fitting method to remove over-fitting biases under arbitrary dyadic dependence. Together with the use of Neyman orthogonal scores, this novel cross-fitting method enables root-n consistent estimation and inference robustly against dyadic dependence. We demonstrate its versatility by applying it to high-dimensional network formation models and reexamine the determinants of free trade agreements.

I discuss two colloquial Italian idioms expressing respectively emphatic negation and objection, col cavolo (lit. ‘with the cabbage’) and un cavolo (lit. ‘a cabbage’). Despite superficial similarities, they represent two very different strategies at syntactic, semantic, and pragmatic level. Col cavolo belongs to a class of non-verbal polar predicates selecting a clausal complement and expressing the speaker’s degree of strength of sincerity towards the proposition (Repp 2013). Col cavolo expresses high commitment to ¬p: it is base-generated in the left periphery, as confirmed by its limited polarity-licensing abilities and impossibility of agreement with a TP-level negative PolP. Instead, un cavolo is a metalinguistic objector (Martins 2020), an echoic responsive move (Farkas & Bruce 2010); it originates as a vulgar minimiser and can function as an ‘utterance minimiser’, predicating minimal relevance of the associate and rejecting it globally rather than reversing its truth conditions. Finally, I compare col cavolo with similar cross-linguistic expressions, and offer a generalisation for left-peripheral negators: those participating in a movement or agreement chain with the TP-level PolP have full semantic and polarity-licensing capabilities, while base-generated ones, being non-local to the lower proposition, only license weak polarity items and yield double negation with a lower negative PolP.

This study analyses the dynamics of the global rare earth element market, with a focus on China’s dominant role as the primary supplier, which is crucial for the energy transition and digitalization. Using a game-theoretic approach, the research examines a potential duopoly market structure that may emerge over time, as well as potential shifts in supply from China to other countries in this scenario. It considers China’s low marginal costs and factors such as resource extraction and discoveries. Additionally, the study examines the strategic market interactions, the role of technological advancements, and policy support in shaping market outcomes. The methodology assumes that agents have limited foresight and use a learned value function to strategically assess outcomes based on their own and others’ actions, while accounting for environmental constraints.

The recent publication by the Mental Health Commission (MHC) constitutes a welcome acknowledgement of the unique challenges within mental health care delivery for LGBTQIA+ populations in Ireland. This timely guidance illustrates a comprehensive framework to tackle the entrenched disparities in mental health outcomes and service access challenges experienced by sexual and gender minorities in Ireland, aiming to align with international best practices of affirming and inclusive mental health care. The purpose of this critique is to situate the MHC guidance within the broader multimodal context of societal change and service provision, rather than to provide procedural or implementation instructions. For clinicians, this is an opportunity to reflect on the landscape in Ireland.

Trichostrongylus spp. are globally distributed gastrointestinal nematodes that affect ruminants and humans, posing significant veterinary and public health challenges. Despite their zoonotic potential, the temporal dynamics of Trichostrongylus infection remain poorly understood globally. This study aimed to estimate long-term trends in Trichostrongylus prevalence in humans, ovines, and bovines using time series modelling. A systematic review identified 240 eligible studies with annual prevalence data across 60 countries. Following Kalman smoothing, annual prevalence time series were constructed for each host species covering 1947–2024 for humans, 1966–2024 for ovines, and 1962–2024 for bovines. ARIMA models were fitted separately: ARIMA(0,1,1) for humans, ARIMA(3,0,0) for ovines, and ARIMA(0,1,1) for bovines. Model selection was based on Stationary R2, RMSE, MAPE, and the Ljung-Box Q test for residual independence. Forecast 95% confidence intervals were reported to convey uncertainty in the projected trends. All three models demonstrated good in-sample fit and adequate residual diagnostics. Infection rates in humans and bovines are projected to decline, from 4.64% to 3.73% in humans and from 20.11% to 11.76% in bovines by 2034. In contrast, the ovine model forecasts an increase in infection rates, from 6.50% to 15.56%. This increase in ovines may reflect greater pasture exposure and environmental persistence of infective larvae, while improvements in hygiene and livestock management likely contribute to the declining trends observed in humans and bovines. The rising infection rate in ovines, coupled with sustained zoonotic risk, underscores the need for integrated One Health surveillance and control efforts.

On 20 March 2024, Canada submitted a written statement to the International Court of Justice (ICJ) in the context of a Request for an Advisory Opinion on the Obligations of States in respect of Climate Change. This was followed by Canada’s oral submissions on 3 December 2024. On 20 December 2024, Canada also submitted replies to questions posed by judges at the conclusion of the oral hearings.

Elite interviewing is a valuable tool that helps political scientists to understand decision making, trace political processes, and access insider knowledge. Yet despite its prevalence, we know surprisingly little about how elite interviews are conducted and reported in the discipline. This study addresses this gap by examining elite interviewing practices and transparency using an original dataset of articles published in 13 leading political science journals between 2000 and 2023. Drawing on article content and supplementary materials, I analyze trends in the use and quality of elite interviews, highlighting an increasing reliance on this method, particularly in comparative politics. Findings show promising improvements in reporting practices over time. Systematic reporting and the inclusion of online appendices significantly enhance transparency, offering detailed insights into ethical considerations, confidentiality, and data-sharing practices. This study underscores the evolving rigor in reporting elite interviewing, reflecting its enduring relevance and growing methodological sophistication in political science research.

We consider a normal operator $T$ on a Hilbert space $H$. Under various assumptions on the spectrum of $T$, we give bounds for the spectrum of $T+A$ where $A$ is $T$-bounded with relative bound less than 1 but we do not assume that $A$ is symmetric or normal. If the imaginary part of the spectrum of $T$ is bounded, then the spectrum of $T+A$ is contained in the region between two hyperbolas whose asymptotic slope depends on the $T$-bound of $A$. If the spectrum of $T$ is contained in a bisector, then the spectrum of $T+A$ is contained in the area between certain rotated hyperbolas. The case of infinitely many gaps in the spectrum of $T$ is studied. Moreover, we prove a stability result for the essential spectrum of $T+A$. If $A$ is even $p$-subordinate to $T$, then we obtain stronger results for the localisation of the spectrum of $T+A$.

This study explores the gender wage gap in Türkiye between 2013 and 2022 using a novel 10-year panel dataset constructed with administrative data compiled for the first time in Türkiye, which includes approximately 14 million full-year workers in 360 subgroups by demographic, sectoral, and occupational factors. The analysis examines the long-term effects of demographic factors, such as age, education, and marital status, as well as the work-related factors, including occupation and employment sector, on the gender wage gap. The findings reveal that men working full-time in formal employment earn 10.1% more than women in Türkiye, and the study shows evidence of how the gender wage gap varies across different demographic groups. The results obtained emphasise the significant roles of marital status, occupation, age, and sector in explaining the wage differential, while education is shown not have a meaningful long-term impact on the wage gap. Moreover, contrary to expectations, the study confirms that occupational experience, the aging labour force, and increased female labour force participation contribute to the widening of the gender wage gap. These findings underline the need for targeted economic and social policies to address gender-based wage differences in a country where the labour force participation of women has traditionally been outstandingly low. This study aims to contribute to the literature by providing a comprehensive analysis of a large-scale dataset that offers new insights into gender wage differences.

Buchak’s risk-weighted expected utility considers not just the probability of an outcome, but also the probability of getting a strictly better outcome, when weighting the contribution that outcome gives to the evaluation of a gamble. It uses a risk-weighting function $R$ sending probabilities in $\left[ {0,1} \right]$ to decision weights $\left[ {0,1} \right]$. I adapt this to allow weights in any real interval. Finite intervals yield nothing new, but if the interval is infinite, then the resulting rule can incorporate maximin or maximax preferences (or both!) while still satisfying stochastic dominance. There are advantages to working with marginal risk-weighting, $R$’s derivative, $r$.

The normalised partial sums of values of a nonnegative multiplicative function over divisors with appropriately restricted lengths of a random permutation from the symmetric group define trajectories of a stochastic process. We prove a functional limit theorem in the Skorokhod space when the permutations are drawn uniformly at random. Furthermore, we show that the paths of the limit process almost surely belong to the space of continuous functions on the unit interval and, exploiting results from number-theoretic papers, we obtain rather complex formulas for the limits of joint power moments of the process.

The promise of digitalisation in achieving Universal Health Coverage in postcolonial contexts is undermined by the realities of insufficiently resourced public healthcare systems. In response, private health insurance is often seen as essential to healthcare delivery. The provision of this private health insurance is increasingly mediated through digital infrastructures, with providers leaning into the promise of data-driven behavioural economics to provide better and more efficient services. While an increasing number of studies focus on digital health, in this paper, we particularly focus on the less-explored question of how datafication – under the veil of shared value, and enabled by forms of legal access – reproduces inequalities. Using the case study of Discovery, a financial services company in South Africa providing health insurance, we analyse how a social value and data-driven behavioural economic model of health insurance commodifies health and wellness. We argue that legal infrastructures are central to this commodification. Through a socio-legal critique of digital health, our article makes an original contribution to broader debates on enduring postcolonial social inequalities by illustrating how infrastructural injustice manifest through datafication.