Research in political science has begun to explore how to use large language and object detection models to analyze text and visual data. However, few studies have explored how to use these tools for data extraction. Instead, researchers interested in extracting text from poorly formatted sources typically rely on optical character recognition and regular expressions or extract each item by hand. This letter describes a workflow process for structured text extraction using free models and software. I discuss the type of data best suited to this method, its usefulness within political science, and the steps required to convert the text into a usable dataset. Finally, I demonstrate the method by extracting agenda items from city council meeting minutes. I find the method can accurately extract subsections of text from a document and requires only a few hand labeled documents to adequately train.

Design-by-analogy (DbA) is a powerful method for product innovation design, leveraging multidomain design knowledge to generate new ideas. Previous studies have relied heavily on designers’ experiences to retrieve analogical knowledge from other domains, lacking a structured method to organize and understand multidomain analogical knowledge. This presents a significant challenge in recommending high-quality analogical sources, which needs to be addressed. To tackle these issues, a knowledge graph-assisted DbA approach via structured analogical knowledge retrieval is proposed. First, an improved function-effect-structure ontology model is constructed to extract functions and effects as potential analogical sources, and six semantic matching rules are established to output entity triplets, and the DbA knowledge graph (DbAKG) is developed. Second, based on the knowledge of semantic relationships in DbAKG, the domain distance and similarity between the design target and the analogical sources are introduced to establish an analogical value model, ensuring the novelty and feasibility of analogical sources. After that, with function as the design target, analogical sources transfer strategy is formed to support innovative solution solving, and TRIZ theory is used to solve design conflicts. Finally, a pipeline inspection robot case study is further employed to verify the proposed approach. Additionally, a knowledge graph-assisted analogical design system has been developed to assist in managing multidomain knowledge and the analogical process, facilitate the adoption of innovative design strategies, and assist companies in providing more competitive products to seize the market.

O artigo discute a apropriação das práticas da “escola nova” no interior do Estado de São Paulo entre 1935 e 1938. Inicialmente, circunscreve algumas características do movimento internacional de renovação da educação. Depois, identifica as referências dos inspetores de ensino às práticas da escola nova no magistério paulista e analisa esses registros na relação que mantém com as iniciativas de reforma do ensino público do Estado de São Paulo. Por fim, a reflexão se detém na reduzida repercussão que a política de inovação educacional alcançou no Estado de São Paulo para mostrar que as conexões tentadas por grupos ligados ao movimento pela escola nova tiveram pouco alcance político.

This study investigates the epidemiology of adolescent suicide in India, addressing the limited research on the subject. Data on adolescent suicide (14–17 years) by sex and state were obtained from the National Crimes Records Bureau for 2014–2019, which included acquiring unpublished data from 2016 to 2019. Crude suicide rates for the period 2014–2019 were calculated by sex and state. Rate ratios (RRs) by sex and state were also calculated to assess changes over time, comparing suicide rates from 2017–2019 to 2014–2016. Female adolescent suicide rates, which ranged between 9.04 and 8.10 per 100,000 population, were consistently higher than male adolescent suicide rates, which ranged between 8.47 and 6.24 per 100,000 population. Compared to the first half of the study period (2014–2016), adolescent suicide rates significantly increased between 2017 and 2019 among less developed states (RRs = 1.06, 95% uncertainty interval [UI] = 1.03–1.09) and among females in these states (RRs = 1.09, 95% UI = 1.05–1.14). Male suicide rates aligned with global averages, while female rates were two to six times higher than in high-income and Southeast Asian countries. Findings highlight the urgent need for comprehensive surveillance and targeted suicide prevention strategies to address this critical public health issue.

Popular willingness to compromise is an important step for conflict resolution. A key argument suggests that improving expectations about the prospects of peace can increase public support for concessions. Yet a competing view, anchored in broader debates about preferences and expectations, suggests that prior ideological dispositions motivate biased future expectations rather than vice versa. This tension, however, remains understudied in violent conflicts. In this study, we leverage rich survey data from Israel to disentangle the causal relationship between expectations and preferences for compromise in a long-standing conflict. Using two decades of aggregate monthly series and two exogenous shocks to peace expectations, we find that changes in prospective expectations do predict subsequent shifts in support for compromise. We find no contrary evidence for a null, opposite, or heterogeneous relationship. The findings contribute to ongoing debates about the interrelations between expectations and preferences and provide insights into their implications for conflict resolution.

We compare different forms of communication in the context of cheap talk sender-receiver games. While previous experiments find evidence supporting the comparative statics prediction that more preference divergence leads to less information transmission, there is also a consistent pattern of overcommunication and exaggeration, not predicted by theory, in which subjects convey more information than predicted in equilibrium. The latter of these findings may be due to the restricted nature of the message space in most experimental cheap talk games, encouraging subjects to engage in exaggeration artificially, rather than allowing it to emerge naturally. We tested this hypothesis with an incentivized lab experiment, and found evidence both phenomena persist with natural language (text-based) communication. Moreover, we probe the consequences of this expanded message space for outcomes, showing that senders benefit more than receivers, but that the most notable effect is that text messages improve efficiency.

In this paper, we present a flexible approach to estimating parametric cumulative Prospect Theory using Hierarchical Bayesian methods. Bayesian methods allow us to include prior knowledge in estimation and heterogeneity in individual responses. The model employs a generalised parametric specification of the value function allowing each individual to be risk-seeking in low-stakes mixed prospects. In addition, it includes parameters accounting for varying levels of model noise across domains (gain, loss, and mixed) and several aspects of lottery design that can influence respondent behaviour. Our results indicate that enhancing value function flexibility leads to improved model performance. Our analysis reveals that choices within the gain domain tend to be more predictable. This implies that respondents find tasks in the gain domain cognitively less challenging in comparison to making choices within the loss and mixed domains.

The famous Catholic pilgrimage site at Lourdes, France, until fairly recently displayed hundreds of discarded crutches as testament to miraculous cures. It has, though, never displayed a wooden leg. Hence the Wooden Leg Problem (WLP) for believers in miracles: if God can cure paralysis, why does He seem never to have given an amputee back their lost limb? The WLP is a severe challenge for believers in miracles and must be confronted head-on. Yet there does not appear to be any systematic analysis of the problem, at least as formulated here, in the literature on miracles or philosophy of religion generally. I discuss ten possible solutions to the WLP on behalf of the believer in miracles. Although some are stronger than others, all but the final one seem too weak to solve the problem. It is the final one – the ‘how do you know?’ solution – that I endorse and examine in some depth. This solution, I argue, shows that the WLP does not move the epistemological dial when it comes to belief or disbelief in miracles.

Targeted policy and governance instruments are essential for developing a carbon dioxide removal (CDR) sector aligned with climate change mitigation scenarios. As a result, a large share of the scientific literature on CDR concentrates on these aspects. However, current CDR deployment and development are mainly driven by private organisations. While their role in CDR governance is generally acknowledged, important context regarding their perspectives, motivations and decision-making processes is lacking. This study addresses this gap by conducting seventy-nine interviews with senior representatives from organisations engaged in the early CDR market, including technology suppliers, credit purchasers, and financiers. We explore their views on key components of fair and equitable CDR systems. Our analysis reveals varying priorities across interviewed actors, including strong regulatory frameworks, market transparency, accountability, funding mechanisms and (climate) justice, emphasising historical responsibility, revenue distribution and community engagement. Additionally, we identify conflicting perspectives on the involvement of oil and gas sectors and the balance between rapid scale-up and thorough, inclusive processes. This research offers critical insights into the role of private organisations in shaping the governance of the emerging CDR sector, highlighting the complex interplay of market dynamics and ethical considerations.