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Recent research suggests that local exposure to refugees does not increase support for far-right parties. We challenge this null result by drawing on granular data from Berlin in the wake of the Syrian refugee crisis. While prior work in the German context has generally assumed that refugee exposure is exogenous at the local level, we demonstrate that refugee housing was disproportionately concentrated in neighborhoods with young, non-citizen residents. To address this selection bias, we harmonize in-person and mail-in precinct boundaries across elections and implement a difference-in-differences design with synthetic precincts. We find that localized exposure to refugee housing did increase support for the far-right in the 2017 federal elections. However, this backlash is geographically narrow in scope. Our findings nuance prior research by demonstrating that even if sociotropic concerns dominate electoral responses to the refugee crisis, voters’ responses are consistent with group threat theory at the local level.
Many countries have implemented a variety of pension reforms in response to the challenges posed by an aging population. These reforms typically involve a trade-off between ‘refinancing’ (i.e., increasing contributions) and ‘retrenchment’ (i.e., reducing benefits). The primary question addressed in this study is whether policymakers in the European Union (EU) possess the necessary capacity to sustain legislated pension reforms, particularly given the growing political influence of the elderly. To examine this issue, we develop a bargaining model designed to optimally allocate the economic burden of aging between successive cohorts of workers and retirees, incorporating retirement incentives. In a scenario where bargaining power remains constant, the optimal allocation rule dictates a fixed-contribution system, effectively shifting the full burden of aging onto the elderly. However, when bargaining power is allowed to fluctuate in response to changes in the relative size of the retiree population (i.e., the dependency rate), the optimal allocation rule involves a compromise between increasing contributions and reducing benefits. In the empirical analysis, we compare these theoretical optimal allocation rules with projections of pension benefit rates and dependency ratios from the 2021 Economic Policy Committee. By calculating the implicit bargaining power required to align projected pension benefits with the optimal sharing rule for each year, we demonstrate a growing divergence between projected pension benefits and the optimal levels in many EU countries, as demographic shifts progress. Furthermore, our findings indicate that for most countries, projected pension benefits are increasingly falling below optimal levels when bargaining power adjusts in accordance with population aging.
To anticipate relationships between future climate change and societal violence, we need theory to establish causal links and case studies to estimate interactions between driving forces. Here, we couple evolutionary ecology with a machine-learning statistical approach to investigate the long-term effects of climate change, population growth, and inequality on intergroup conflict among farmers in the North American Southwest. Through field investigations, we generate a new archaeological dataset of farming settlements in the Bears Ears National Monument spanning 1,300 years (0 to AD 1300) to evaluate the direct and interactive effects of precipitation, temperature, climate shocks, demography, and wealth inequality on habitation site defensibility—our proxy for intergroup conflict. We find that conflict peaked during dry, warm intervals when population density and inequality were highest. Results support our theoretical predictions and suggest cascading effects, whereby xeric conditions favored population aggregation into an increasingly small, heterogenous area, which increased resource stress and inequality and promoted intergroup conflict over limited productive patches. This dynamic likely initiated feedback loops, whereby conflict exacerbated shortfalls and fostered mistrust, which drove further aggregation and competition. Results reveal complex interactions among socioclimatological conditions, all of which may have contributed to regional depopulation during the thirteenth century AD.
Teaching introductory courses on the ancient world is a study in reviewing a vast field of material without compromising on nuance. It is a tightrope walk, especially when beginning a teaching career. Comedy and economics are topics often parsed in more advanced courses to engage the primary source materials and modern debates with appropriate depth of analysis. However, their place in the introductory classroom is an essential aspect of understanding the ancient Greek world fully. Especially as students often struggle to find ancient comedy amusing upon first interaction, teaching these topics is a process of trial and error for the professor, who is often constrained by their own exposure to these topics. This article shares a classroom activity on comedy and economic institutions designed for the introductory class, engaging students by activating prior knowledge and practicing close reading of a selection from an ancient text.
While depressive symptoms are common during menopausal transition, the relationship between the two remains unclear. Therefore, this study aimed to examine the longitudinal changes in depressive symptoms among middle-aged Korean women and identify those with elevated and worsening symptoms during this period.
Methods
A total of 1,178 participants who underwent comprehensive health examinations at Kangbuk Samsung Hospital in Korea were followed for a median of 10.8 years (IQR, 9.2–11.6; maximum, 12.7), including all women who reached natural menopause during follow-up, with only data prior to HRT initiation included. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D), and menopausal stages were classified according to the STRAW + 10 criteria and final menstrual period (FMP). Linear mixed-effects models and group-based trajectory modelling (GBTM) were applied to evaluate longitudinal changes in depressive symptoms and to identify distinct trajectories in the severity and stability of depressive symptoms.
Results
The age-adjusted prevalence of CES-D ≥ 16 was 11.0%, 11.5%, 11.2% and 12.4%, with corresponding mean scores of 6.7, 6.6, 6.9 and 7.1 across stages. After adjusting for time-varying age and covariates, menopausal stage transitions were not significantly associated with higher levels of depressive symptoms, whether analysed as continuous or binary variables. For binary CES-D (≥16), the estimated coefficients (95% CI) were 0.10 (–0.20 to 0.41) for early transition, 0.09 (–0.21 to 0.39) for late transition and 0.26 (–0.09 to 0.61) for post-menopause. Similarly, time relative to the FMP (–11 to +9 years) showed no significant association with depressive symptoms. GBTM identified three distinct trajectories: most participants (75.5%) maintained consistently low depressive symptoms throughout the transition, whereas 5.8% showed worsening symptoms. Poor sleep quality (OR 5.83, 95% CI 3.25 to 10.45) and moderate-to-severe vasomotor symptoms (OR 2.95, 95% CI 1.30 to 6.70) were significantly associated with the worsening trajectory. Suicidal ideation was higher in this group (45.4% at baseline, increasing to 70.5% at follow-up).
Conclusions
Most women maintained low depressive symptoms during the menopausal transition; however, a subset experienced worsening symptoms linked to menopause-related physical symptoms. Medical visits for menopause-related symptoms may provide opportunities for screening depressive symptoms in higher-risk women, though the screening effectiveness requires further evaluation.
We define a natural notion of standard translation for the formulas of conditional logic which is analogous to the standard translation of modal formulas into the first-order logic. We briefly show that this translation works (modulo a lightweight first-order encoding of the conditional models) for the minimal classical conditional logic $\mathsf {CK}$ introduced by Brian Chellas in [3]; however, the main result of the article is that a classically equivalent reformulation of these notions (i.e., of standard translation plus theory of conditional models) also faithfully embeds the basic Nelsonian conditional logic $\mathsf {N4CK}$, introduced in [11] into $\mathsf {QN4}$, the paraconsistent variant of Nelson’s first-order logic of strong negation. Thus $\mathsf {N4CK}$ is the logic induced by the Nelsonian reading of the classical Chellas semantics of conditionals and can, therefore, be considered a faithful analogue of $\mathsf {CK}$ on the non-classical basis provided by the propositional fragment of $\mathsf {QN4}$. Moreover, the methods used to prove our main result can be easily adapted to the case of modal logic, which makes it possible to improve an older result [10, Proposition 7] by S. Odintsov and H. Wansing about the standard translation embedding of the Nelsonian modal logic $\mathsf {FSK}^d$ into $\mathsf {QN4}$.
Vowel deletion is frequent in the Chichicastenango dialect of K’iche’ (Maya). Whereas deletion in content words is reportedly predictable based on vowel quality, syllable structure and stress, deletion in function words is much more variable. This article investigates vowel deletion in a corpus of spontaneous, monologic speech. The results show that deletion in content words is highly regular, occurring to lax vowels in unstressed, CV syllables adjacent to the stressed syllable. A difference can be observed between vowels belonging to stress domain internal morphemes and extrametrical morphemes. Deletion in extrametrical morphemes is somewhat less regular, and does not occur in word-final syllables. In function words, vowel deletion is sensitive to similar conditions to those that affect content words, but is highly variable and is influenced by the phrase-level context.
Wide diversity in plant adaptive traits, such as seed size and dormancy, is generally linked to the rapid spread, invasiveness, and adaptative potential of a weed species. Italian ryegrass [Lolium perenne L. ssp. multiflorum (Lam.) Husnot] is a significant weed species in winter crops such as wheat (Triticum aestivum L.) and summer crops such as corn (Zea mays L.), soybean [Glycine max (L.) Merr.], and peanut (Arachis hypogaea L.) in Alabama. In this study, diversity in seed morpho-physiological traits—such as seed length, awn length, seedling length, 100-seed weight, and seed dormancy—was assessed in 65 L. perenne ssp. multiflorum populations collected from Alabama in 2023. Significant diversity was observed among the populations for 100-seed weight (61.8 to 295.8 mg), seed length (3.5 to 6.43 mm), awn length (0 to 7 mm), and seedling length (0.5 to 38.6 cm). Germination speed was significantly lower in the populations with high initial seed dormancy (>30%) compared with medium (15% to 30%) and low dormancy groups (<15%) at 0 and 3 mo after harvesting. Additionally, the relationship between herbicide-resistance status and seed morpho-physiological traits in these populations was explored. A significant positive association was observed between seed dormancy and the number of survivors following glyphosate (P < 0.01) and clethodim (P < 0.01) treatments. The observed diversity in morpho-physiological traits could be the reason for enhanced adaptability of L. perenne ssp. multiflorum, and its correlation with herbicide resistance indicates directional selection or coexistence of specific seed morpho-physiological traits with herbicide resistance under the repeated use of similar modes of action.
Alterations in reward responsiveness represent a key mechanism implicated in youth depression risk. However, not all youth with these alterations develop depression, suggesting the presence of factors that may moderate risk patterns. As socioeconomic disadvantage is also related to youth depression risk, particularly for youth exhibiting altered reward function, this study examined whether indices of family- and neighborhood-level disadvantage interacted with electrocortical reward responsivity to predict depression symptom trajectories across childhood and adolescence.
Methods
Participants included 76 youth (ages 9–16 years) at low and high risk for depression based on maternal history of depression. At baseline, youth completed a monetary reward-guessing task while electroencephalography was recorded to measure the reward positivity (RewP), an event-related potential indexing reward responsiveness. Family and neighborhood disadvantage were assessed using the income-to-needs (ITN) ratio and Area Deprivation Index (ADI), respectively. Self-reported and clinician-rated depression symptoms were assessed across a multiwave, 18-month follow-up.
Results
RewP interacted with family- and neighborhood-level disadvantage to predict self-reported depression symptom trajectories. Specifically, blunted RewP predicted self-reported depression symptom increases for youth with a lower ITN ratio and higher ADI score. A blunted RewP also predicted clinician-rated depression symptom increases for youth living in neighborhoods with higher ADI scores.
Conclusions
Findings suggest that reduced reward responsiveness is a mechanism implicated in future depression risk among youth, specifically in the context of family- and neighborhood-level socioeconomic disadvantage. Interventions that enhance reward response among youth exposed to higher levels of socioeconomic disadvantage may be particularly effective in preventing depression emergence.
Extant work shows that generative AI such as GPT-3.5 and perpetuate social stereotypes and biases. A less explored source of bias is ideology: do GPT models take ideological stances on politically sensitive topics? We develop a novel approach to identify ideological bias and show that it can originate in both the training data and the filtering algorithm. Using linguistic variation across countries with contrasting political attitudes, we evaluate average GPT responses in those languages. GPT output is more conservative in languages conservative societies (polish) and more liberal in languages used in liberal ones (Swedish). These differences persist from GPT-3.5 to GPT-4. We conclude that high-quality, curated training data are essential for reducing bias.
In this systematic review, we identify and critically appraise randomised controlled trials of effectiveness of available educational, behavioural, cognitive, and self-management support interventions for individuals with chronic migraine.
Background:
Non-pharmacological interventions have the potential to help people living with chronic migraine. Little is known about their true effectiveness.
Methods:
We searched Cochrane, Embase, Medline, PsychINFO, Scopus, and Web of Science for randomised controlled trials assessing the effectiveness of educational, behavioural, cognitive, and self-management support interventions, compared to usual care, for adults with chronic migraine. Our outcomes of interest were headache frequency, headache-related disability, quality of life, pain intensity, medication consumption, and psychological wellbeing at baseline and follow-up.
Findings:
We included six randomised controlled trials (713 participants) whose interventions met our inclusion criteria: two educational, two psycho-educational, and two behavioural interventions. Trial heterogeneity precluded statistical pooling. Several small trials reported some between-group differences. One trial (N = 177) found more people had ≥50 reduction in headache frequency at 12 months following a psychological (mindfulness-based) intervention added to acute medication withdrawal in people with medication overuse headache: 43/89 (48%) control vs. 69/88 (78%) intervention, p < 0.001. However, the largest included study (N = 396) had effectively excluded the possibility that their intervention had a worthwhile effect on headache-related disability at 12 months; mean difference in Headache Impact Test (HIT-6) 0.7 (95% Confidence Interval −0.65 to 1.97). Current evidence does not support the use of educational, behavioural, cognitive, and self-management support interventions for individuals with chronic migraine to improve headache-related symptoms and quality of life. Very limited evidence suggests they may contribute towards headache frequency reduction.
Michael Blake, Yuna Blajer de la Garza, and Alex Zakaras offer insightful critiques of several arguments central to my book Beyond the Law’s Reach? In the process, they raise large questions in political philosophy more generally, especially as it pertains to global affairs. Blake is skeptical about the distinction, driving much of the book, between consolidated liberal democracies and jurisdictions where the “shadow of violence” prevails. Blajer de la Garza worries that the international reparative duties that the book highlights may linger indefinitely, and, consequently, be exploited by cynical political actors. Finally, whereas Beyond the Law’s Reach? argues that liberal democracies’ collective integrity is affected by their entanglement in violence and corruption abroad, Zakaras doubts whether this collective moral problem carries over into the individual level, given individual citizens’ reasonable ignorance of policy details. I offer responses to each of these critiques in turn. I conclude by highlighting the picture of democratic civic responsibility that emerges from these responses.
Public communication about antimicrobial resistance (AMR) is widely acknowledged as a cornerstone of global, national, and regional strategies to tackle this urgent health threat. However, much like AMR itself, efforts to communicate about it are hindered by complex and intersecting challenges. This scoping review synthesises insights from 88 scholarly manuscripts published between 2015 and 2024 to explore critical issues in AMR communication and identify potential options to address them. We distil nine overarching themes that underpin effective public communication and engagement, with particular significance for engaging with disadvantaged and vulnerable communities. These themes encompass (1) social science theoretical frameworks, (2) varied sociocultural contexts, (3) public engagement and dialogue, (4) linguistic considerations, (5) messaging strategies, (6) media use and its impacts, (7) large-scale public campaigns, (8) creative communication approaches, and (9) evaluation. We discuss each theme and outline related recommendations, collectively advocating a re-imagining of AMR communication as a civic, cultural, and reflexive practice that is attuned to the complexities of diverse contexts and cultures, and designed to enhance societal relevance and impact.
Sri Lanka is immersed in the ideology of Buddhist primacy: “the island belongs to its Sinhala Buddhists, and Buddhism should dominate the state.” Why does this ideology attract? The standard answer is that it justifies the power of the Sinhala Buddhist ethnic group. This article offers a different take through two contestations of modernity. It draws from Sabhyatva Rajya Kara or Towards a Civilisation-State by the Sinhala public intellectual Gunadasa Amarasekara, and the work of post-secular thinkers such as Jurgen Habermas, Charles Taylor, and Nicholas Wolterstorff, and argues that, along with power, Buddhist primacy attracts because it offers an invitation to join a dignifying, heroic narrative, and a vision of “fullness.” That is, there is more to Buddhist primacy than power. This points to the need for a richer human anthropology, and a fuller account of religion, in studies of religion and constitutions.
While increasing research is reporting a higher presence of autistic traits (AT) in patients with borderline personality disorder (BPD), both autism spectrum disorder (ASD) and BPD have been associated in literature with a vulnerability to trauma and eating disorders.
Aim
The present study aimed at evaluating trauma-related symptoms and eating disorder symptoms in BPD patients with or without significant AT.
Methods
A sample of 73 BPD patients was assessed with the adult autism subthreshold (AdAS) Spectrum, trauma and loss spectrum-self report (TALS-SR), and EDI-2 questionnaires.
Results
The findings revealed that BPD patients with autistic traits (BPD-AT) scored significantly higher on the eating disorder inventory (EDI-2) and trauma and loss scale (TALS-SR) compared to those without AT. Moreover, while both AdAS Spectrum and TALS-SR scores predicted higher EDI-2 scores, a significant mediating effect of TALS-SR on the relationship between AdAS Spectrum and EDI-2 scores was reported.
Conclusion
These results suggest that AT may imply more severe clinical correlates in the BPD population, including an enhanced vulnerability toward psychopathological traits frequently reported in BPD patients such as eating disorders and trauma-related symptoms, stressing the need to clarify the complex interactions among these disorders and the factors that may shape specific illness trajectories.
What is the value of public philosophy? “Philosopher-first” accounts suggest that the ideas that academic philosophers produce can, when disseminated, be useful to the wider public. However, such accounts assume that there is a gap between the interests and activities of professional philosophers and those of the wider public, which must be overcome by translating philosophy into more accessible terms. This article offers an alternative account—the “public-first” account. On this account, philosophy is a necessary part of everyday life. Each of us relies upon a background of conceptual resources that shape our interpretations, expectations, and behaviours in the world. Professional philosophers might be useful in analysing, maintaining, and fixing our conceptual infrastructure. However, there is no gap between philosophy and everyday life, which must be overcome. Whilst most defences of public philosophy argue that it is beneficial to the public, on the “public-first” account, public philosophy is also vital for the discipline of philosophy itself. If philosophers want to adequately evaluate their philosophical theories, they must appeal to a much wider and more diverse range of human experience than that of professional philosophers themselves. As such, public philosophy is necessary for properly conducted philosophical inquiry.
To co-develop a systems map of the UK secondary school food system and to understand what factors contribute to food choice within it.
Design:
Participatory methods were used with a range of UK school stakeholders to co-produce a systems map of factors contributing to food choice in the secondary school food system. An online survey with stakeholders (n 26) was used to gather an initial list of factors, and a group model-building workshop was conducted with stakeholders (n 13) to establish relationships between these factors. Two school workshops captured the views of students (n 17). The map then underwent final refinement by the research team, and all stakeholders were provided the opportunity to provide feedback on the final version.
Setting:
United Kingdom.
Participants:
UK school stakeholders.
Results:
The systems map contained twenty-four factors with forty-three direct causal relationships between them, each factor falling into one of six themes: catering and procurement; school leadership and governance; the priority of food within schools; social experience, behaviours and attitudes; the food space and experience in school and financial. The map demonstrates how each of the factors interacts with each other, including the direction of influence. It also reveals feedback loops that shape and sustain food choice patterns in secondary schools.
Conclusions:
The systems map provides a visualisation of the complex secondary school food system and can be used by stakeholders in the design and evaluation of whole-school, multi-component interventions and programmes targeting food choice in secondary schools.