Choice Of Topics Research Articles

Large language models (LLMs) as agents for augmented democracy.

We explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens' preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil's 2022 presidential election. We use a train-test cross-validation set-up to estimate the accuracy with which the LLMs predict both: a subject's individual political choices and the aggregate preferences of the full sample of participants. At the individual level, we find that LLMs predict out of sample preferences more accurately than a 'bundle rule', which would assume that citizens always vote for the proposals of the candidate aligned with their self-reported political orientation. At the population level, we show that a probabilistic sample augmented by an LLM provides a more accurate estimate of the aggregate preferences of a population than the non-augmented probabilistic sample alone. Together, these results indicate that policy preference data augmented using LLMs can capture nuances that transcend party lines and represents a promising avenue of research for data augmentation. This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

Lady Caroline Lamb and Miss Elizabeth Spence: Limits of Femininity in Early Nineteenth-Century Salon and Album Culture

In November 1825 middle-class salon hostess and travel writer Elizabeth Spence contributed a short poem titled ‘M.S. Lines on Lady Caroline Lamb’ to Anna Birkbeck’s album. Spence’s choice of subject, Lady Caroline Lamb, was, in many ways, unusual. Coming from a very different world to Spence, the aristocratic Lamb was a household name, most well known for her much publicized personal life, which included a disastrous love affair with Lord George Gordon Byron. Through a close reading of Spence’s poem, this article interrogates the ‘friendship’ between these two women of differing classes and backgrounds and considers the complex gender and social dynamics at play informing Spence’s ambiguous poem. The album, like the salon, existed within the space between the masculine/public and the feminine/private worlds. It is in this space that it is possible to explore the limits of femininity in the early nineteenth century, as its semi-public position enables a view of the fringes of what society deemed acceptable, and what provoked dissent for overstepping. As one famed for her overstepping, Lamb demonstrated the risks and the penalty for pushing these boundaries, but Spence’s poem offers a more complex, and even contradictory, picture of Lamb and by extension the limitations which condemned her.

Zeitgemäße Lehrwerke unter der Lupe: Potentiale (nie) alternder Kursbücher im DaF-Unterricht

In the present study, several educational systems of German as a foreign language are considered based on different criteria. They serve as a tertium comparisonis in didactic analysis. The selected teaching systems of German as a foreign language represent their time and when choosing them, it is crucial that they are composed by the same author team and published by the same publishing house. Moreover, the language level to be reached after the respective training course with all of them is the same, namely A1. Textbooks are analyzed in chronological order, ie presented according to when they were approved by the Ministry of Education and Science of Bulgaria. The aim of the research is to prove that not only the current vocabulary, the degree of digitization and interaction, but also the choice of topics, the use of appropriate methods, and the impulses for differentiated work contribute to the effectiveness and adaptability of the given foreign language teaching system. One of the important conclusions of the article is precisely that the potential of a foreign language teaching system can be developed over time if from the beginning a concept that is open to change and updating is laid down and applied.

The problem of educational choice in senior secondary education: the ACT as a case study

AbstractHow students select subjects and pathways in senior secondary education and beyond has long been regarded as a significant social justice issue as a result of contention regarding the value of more or less academic and vocational options. This paper examines these issues through a discussion of the notion of educational choice and the history of senior secondary reform in the Australian Capital Territory (ACT), an educational system established in the 1970s with the express purpose of enhancing educational equity through supporting student choice and flexibility through school-based curriculum and assessment. The paper highlights the complexity of questions subsumed under the umbrella of educational choice, which encompass not only the reproduction of inequality but also student agency and self-making and intersect with debates about equity and curriculum form. It shows how the intent of the ACT system to ensure equally valued subject choices in schooling has since its inception existed in constant tension with a parallel emphasis on university pathways and that the system has over time evolved from one dedicated to the idea of curriculum diversity and responding to individual and community needs to one in which centralisation and standardisation are beginning to take precedence. This history raises important questions about the equity implications of centralising and decentralising curriculum forms and what they enable and constrain in shaping young people’s futures.

Promoting intergenerational learning in higher education: participants’ perspectives on co-management and project-based learning

ABSTRACT Intergenerational (IG) practices foster understanding among diverse age groups, enhancing active ageing and social cohesion. Universities, as key stakeholders in lifelong learning, are pivotal in IG initiatives. Hence, this study investigates IG practices, rooted in project-based learning and co-management, in an international collaboration of universities. It explores participants’ views on IG learning experiences, emphasising generational perspectives and institutional situatedness. The research was conducted in 2022/2023 across Central and Eastern European universities, involving 45 participants (25 older learners, 20 students). Focus group interviews were employed, using a hybrid deductive-inductive approach. Results reveal age-related differences in IG learning perceptions: younger participants emphasised self-expression and connections, while older adults reported view changes about younger generations. Project-based collaboration and effective communication were key facilitators. Institutional situatedness was also identified as a relevant perspective. Participants at Mendel University emphasised the social engagement of older adults; at Eötvös Loránd University, the focus was on the choice of topics and roles; while at University of Split, there was an emphasis on fostering creativity and cooperation. The study thus underscores IG learning’s complexity and advocates for inclusive IG practices in universities, leveraging project-based and co-management principles.

Media frames, AI romantic relationships, and the perspectives of people in relationships; mapping and comparing news media themes with user perspectives

ABSTRACT Human romantic relationships with artificially intelligent (AI) conversational agents and anthropomorphic computers have long been the realm of science fiction. As companies like Luka, Inc. are developing embodied conversational agents called Replika, people’s ability to engage in romantic relationships has garnered news coverage around the phenomenon. Because news is often a place where emerging technologies are first introduced, it is essential to understand the choice of topics and themes these stories focus on (e.g., the ethics of technological development, human desires and vulnerabilities, and what constitutes meaningful and authentic connection). Similarly, the extent to which these articles include user perspectives and how users respond to these frames is also less well understood. This article reports on a mixed-method study that combines content analysis of news articles in 2023 about Replika (1008 search results, n = 104 unique articles) and qualitative semi-structured interviews with users in romantic relationships with their Replika (n = 16), recruited from the Reddit forum ‘ILoveMyReplika.’ Through a frame analysis of these news stories and coding for the types of futures they present, this study first examines some of the key events, themes, and hopes/fears reported in mass media. A thematic analysis of the interview data offers a comparative study to see where there is some overlap between these hopes/fears and user experiences and places where user reports diverge, downplay, and dispute the media characterizations. These studies help us better understand the interrelationship between media narratives, technological frames, and moral panics around a unique subset of and relationship with AI technologies.

Spatial patterns of hydroecological health in the semi-arid yellow river basin: Revelations from machine learning models

The ecosystem of semi-arid watersheds is influenced by a combination of natural climate factors, rainfall, and habitat destruction, resulting in complex mechanisms of spatial differentiation and evolution of water ecological health. Indicator selection in mainstream water ecological health assessment methods, such as the Index of Biotic Integrity (IBI), often relies on subjective reference point choices. This approach tends to overlook the comprehensive impacts and interactions among various environmental stressors. For watersheds significantly influenced by natural climatic factors, considerable uncertainties arise, leading to a lack of scientific justification for establishing water ecological health protection goals. In this study, the nonlinear capabilities of the random forest (RF) model were applied to reduce subjectivity in traditional water ecological health assessments and to more accurately reveal the emerging spatial differentiation patterns and underlying causes of water ecological health in the Wei River Basin (WRB), the largest typical semi-arid watershed of the Yellow River in China. Our findings indicate: (1) Traditional evaluation indices indicate that the overall water ecological health of the WRB is classified as sub-healthy (60 %). The core indicators include dominant species, total algal density, and the percentage of diatom density, with no significant spatial differentiation observed. (2) An improved water ecological health assessment method for semi-arid watersheds, based on the RF model, has been developed to replace traditional subjective judgment steps. This method establishes a complex multi-input–output response relationship (R2 > 0.85) between environmental stress indicators and the biological integrity index for the WRB. (3) The model results identify key driving factors affecting changes in water ecological health in semi-arid watersheds, with the sensitivity of the new model increasing nearly 11-fold compared to traditional IBI methods. (4) Following improvements, the water ecological health characteristics of the WRB exhibit significant spatial heterogeneity, with a higher dispersion coefficient (1.21), and demonstrate enhanced nonlinear response trends to climatic factors. The application of machine learning models indicates that traditional methods may underestimate the extent of ecological health degradation in watersheds and tend to oversimplify spatial heterogeneity characteristics.

Symmetrical choices and biased confidence during uncertain personality trait judgments.

While great methodological strides have been made in the area of decision making research, decisions that rely on subjective stimuli, such as personality traits, still pose a challenge for researchers, partly because it is difficult to define a standard of accuracy for such choices-they lack a "ground truth". In studies on value-based decisions, this same problem has been circumvented by comparing uncertain subjective decisions against a separately assessed judgment of value-a "standard". Here we apply this method in a task of verbal personality trait judgment, and show how a separately assessed standard judgment can be used to precisely control stimulus presentation and analyze subjective personality choices via the method of reverse correlation. Per trial, a series of quasi-randomly sampled adjectives was shown, which participants categorized as more descriptive of either themselves of another person well known to them. Participants also indicated their confidence in the response. Each trial's difficulty was controlled based on the previously assessed standard judgment. Analysis of the behavioral data shows several decision-general properties during these personality judgments, such as symmetrical choices, steeper choice functions for confident trials, and a positive evidence bias during confidence judgment. We discuss how these findings can shed light on the cognitive processes involved in personality perception. The task and results together may help bridge the gap between research on complex, social forms of judgment and findings on more basic decision processes.

Identifying and Managing Risks in High-Tech Supply Networks using Explainable Artificial Intelligence

Supply chains have become vital in enabling the smooth movement of material and information in the swiftly changing high-tech industries. By utilising technological innovations like automation and AI, supply chains may improve both safety and effectiveness at every level of the process, from manufacturing to sustainability. The necessity to adjust operations, give the adoption of technology top priority for resilience, and improve supply chain management efficiency. Transformation of the Supply Chain is becoming a choice of subject, when it comes to maintain the ideal inventory levels and Just in Time service deliveries. Both AI and ML are the utmost importance for the maintenance of the inventory or service through the technology. It not only helps in reducing the loss of opportunity costs, but also it resolves the issue of overstocks of any inventory and the enhanced level of service delivery. This ultimately results in the optimum utilization of the resources through the help of technology. Moreover, it is the win-win situation for the customer and provider. Even while technology has only recently begun to be incorporated into supply chains, the manufacturing and distribution sectors have adopted it more quickly, emphasising the need for effective risk identification and mitigation techniques. Notwithstanding the possible advantages of transforming the supply chain, there are obstacles and limitations that make an entire technological shift complex. The chapter also explores the concept explainable AI which can be understood as the set of techniques that makes the decision-making processes of AI systems comprehensible to humans. Acknowledging the inherent complexities and relationships within these chains, the goal of this chapter is to explore risk identification and management in high-tech supply networks. A competent and nimble stakeholder base can manage the complex landscape of the high-tech world through the incorporation of innovative technologies, proactive actions, and constructive alliances.

Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers

Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data. The threshold for a data value to be an outlier is typically defined by the user. However, a subjective choice of the threshold increases the uncertainty associated with outlier status for each data value. A cellwise outlier detection algorithm named FuzzyHRT is used to automate the editing process in repeated surveys. This algorithm uses Bienaymé–Chebyshev’s inequality and fuzzy logic to detect four different types of outliers resulting from format inconsistencies, historical, tail, and relational anomalies. However, fuzzy logic is not suited for probabilistic reasoning behind the identification of anomalous cells. Bayesian methods are well suited for quantifying the uncertainty associated with the identification of outliers. Although, as suggested by the literature, there exist well-developed Bayesian methods for record-level outlier detection, Bayesian methods for identifying outliers within individual records (i.e., at the cell level) remain unexplored. This paper presents two approaches from the Bayesian perspective to study the uncertainty associated with identifying outliers. A Bayesian bootstrap approach is explored to study the uncertainty associated with the output scores from the FuzzyHRT algorithm. Empirical likelihoods in a Bayesian setting are also considered for probabilistic reasoning behind the identification of anomalous cells. NASS survey data for livestock and major crop yield (such as corn) are considered for comparing the performances of the two proposed approaches with recent cellwise outlier methods.

Lexical frequency and target language input in the primary languages classroom

ABSTRACT This paper presents an exploratory study of L2 input in the primary languages classroom. Teacher talk in 33 videorecorded lessons taught to Year 3 French beginners by a specialist teacher of French was analysed, in order to document the extent and nature of L2 vocabulary input. Further analyses compared the lexis of teacher talk in this primary setting with high-frequency wordlists derived from two reference corpora designed to support the teaching of L2 French. Results showed that children were exposed to c 45,000 words (tokens) of French, reflecting a teacher vocabulary of c 650 lemmas. Intentionally taught lexis such as foods or animal names typically received massed practice, not always supplemented by distributed practice. The teachers’ partial but consistent use of French for classroom management contributed to a well-balanced distribution of word classes. There was considerable overlap with both reference wordlists, and divergence could largely be explained by the teacher’s choice of topics, and incidental use of French to personalise and engage childrens’ individual interests, as well as for classroom management purposes. In discussion, the need for careful planning and management of vocabulary instruction is highlighted, as well as the significant potential of L2 classroom management to enrich lexical input.

Exploring the role of online discussion forums in endorsing Egyptian undergraduates’ EFL learning

eLearning Management systems (eLMS) are software applications used in universities worldwide to implement specific educational goals. eLearning platforms have several features that support traditional Face to Face (FTF) teaching and provide valuable opportunities for independent, self-paced learning. One of these features is the Online Discussion Forums (ODFs). This research paper investigates the role of ODFs in endorsing English as a Foreign Language (EFL) learning by examining students' perceptions of its accessibility, peer/instructor interaction, assessment criteria, and discussion topics. The paper also investigates the influence of gender on students' perceptions of the role of ODFs. This is a non-experimental research design, and 108 Egyptian undergraduates completed a semi-structured questionnaire of five dimensions. Percentages of frequency were calculated and quantitatively analysed via the SPSS. Research findings revealed male and female students’ positive perceptions of using ODFs in their learning process. Results also revealed that students highly perceived choice of topics and assessment as crucial factors for successful learning via ODFs, followed by peer/instructor interaction and accessibility of the tool. Implications for further research include employing ODFs to improve project-based teaching in different disciplines.

Using sign tracking to experimentally increase self-control in rats.

Impulsive choice describes a preference for a smaller-sooner reward (SSR) over a larger-later reward (LLR). A large body of research has examined different procedures for decreasing impulsive choice in nonhuman subjects. One limitation of these procedures is the extensive training duration required to achieve the desired results. To address this limitation, the current experiment examined the effects of a brief course of Pavlovian training, designed to establish a conditioned stimulus (CS) that could be strategically used to encourage LLR choices. Forty male Long-Evans rats were randomly assigned to appetitive Pavlovian or unpaired training. A lever insertion signaled an upcoming unconditioned stimulus (i.e., food presentation) for Pavlovian rats and it acquired CS properties. The lever was uncorrelated with the US in the unpaired group, and it did not acquire CS properties. In the subsequent impulsive-choice assessment, the lever from the training phase served as the lever rats pressed to choose the LLR. After an LLR choice, the lever remained in the chamber during the delay to the LLR, just as the SSR lever remained in the chamber until that reward was delivered. Pavlovian-trained rats sign tracked toward the lever CS and made significantly fewer impulsive choices than did rats in the unpaired group.

Factors Affecting Learners’ Decision to enrol in Commercial Subjects – A Case of the Chris Hani District, Eastern Cape Province, South Africa

Commercial subjects such as Accounting, Economics and Business Studies are an important stream in schools that help learners broaden their social and global knowledge. The purpose of the study was to identify the factors that influence learners’ decisions to enrol in commercial subjects. A case study served as the foundation for the study’s qualitative methodology. The study was based on Berger and Calabre’s (1983) Uncertainty Reduction Theory. The study purposely sampled ten learners from two secondary schools in the Chris Hani District, Eastern Cape Province, South Africa. Individual interviews were used to collect the data, which were then analysed using content analysis (CA) and categorised using thematic analysis. The findings proved that several factors, including learners’ ability in the subjects and the influence of teachers and parents, influenced their decision to enrol in commercial courses. The study recommends that learners should first be counselled, mentored, and assisted in making decisions about the choice of subjects. Lastly, schools should conduct aptitude and interest assessments. The contribution of this study is to provide insights on improving curriculum design and career guidance around commercial subjects in this region as well as to inform educational stakeholders on how to address potential barriers to enrolment in commercial subjects and lastly serve as a foundation for broader studies on commercial subject enrollment in South Africa. Keywords: Commercial Subjects; Learner’s decision; Subject Stream

Diderot: ironia e umorismo nel Salon 1765

Enlightenment philosophers often used irony in a philosophical manner. But irony is an ambiguous and complex figure of speech that can take on philosophical or anti-philosophical value, depending on the uses made of it. Diderot extensively resorts to irony throughout his works, even in unsuspected places in the Encyclopédie, but can we detect a philosophical use of this figure of speech in works of aesthetics as well? The Salon 1765 is considered here as an emblematic moment of Diderot’s reflection on the visual arts, in which irony is linked to the effort of objectivity of the art critic and to the one of the writer who intends to convey the emotion of the painting to the reader, even when it is negative. Irony therefore seems to perform two main functions: 1) to point out an inappropriate choice of subject (when this demonstrates the sterility of the artist’s ideas or licentious subjects that contradict the moral purpose of the pictorial or sculptural work); 2) to make those who read and cannot see the painting empirically understand its defect of composition, design, colour, rhythm. The irony, which is incorporated in the description, thus gives it a critical and emotional value at the same time, aimed at exercising and educating the readers’ taste.

Dose conversion in retrospective dosimetry: Results and implications from an inter-laboratory comparison featuring a realistic exposure scenario

Dose conversion coefficients attempt to harmonize the material-, location-, and exposure-dependent results from retrospective dosemeters. The issues and uncertainties arising from dose conversion are explored within the framework of an interlaboratory comparison exercise in which mobile phones were positioned around anthropomorphic phantoms and exposed to non-uniform photon fields, with the glass and resistors they contain employed as fortuitous dosemeters. The difficulties of adopting pre-calculated tables of generic conversion coefficients are evaluated first, and then compared against those arising through the use of bespoke data derived by Monte Carlo modelling, and also against not converting the doses measured by the phones. It is seen that the different subjective choices that users might make when selecting ‘optimal’ generic data can lead to a significant source of uncertainty (up to around 70 %), though may be improved (to around 30 %) by appropriate quality controls. Use of generic coefficients typically led to over-estimates of the organ doses: an average discrepancy of ca. a factor of 2 was found, but this is still better than the factor of around 3 observed when no conversion coefficients were applied. Use of bespoke conversion factors led to the best estimates of organ doses, although they still over-estimated by approximately 1.5 on average, and an uncertainty of around 20 % was associated with generating their values. Overall, applying bespoke conversion data improves but does not guarantee correct dose categorization of individuals, with the inconsistences in the measured results found generally to be the limiting factor in obtaining accurate dose assessments.

Quantifying the Role of Calibration Strategies on Surface‐Subsurface Hydrologic Model Performance

ABSTRACTDistributed, coupled surface‐groundwater hydrologic models are high‐dimensional, given the necessity to reflect the spatially diverse nature of complex hydrologic processes. Furthermore, inverse/inference problems involving these high‐dimensional models are naturally ill‐posed, given the limited information content of state observations that are typically assimilated. Many inversion/inference algorithms do not cope well with high dimensionality, leaving the practitioner to make subjective choices related to uncertain model inputs. The objective of this study is to evaluate the impact of these subjective calibration choices within a formal sensitivity analysis, uncertainty analysis, and parameters estimation (SA‐UA‐PE) framework on model testing for a surface‐subsurface hydrologic model. In doing so, we address the concepts of ‘over‐parameterisation’ and ‘under‐parameterisation’. We completed a series of numerical experiments, testing several otherwise subjective aspects of the calibration process: (1) the number (5, 10, 15, 20) and type (soil, aquifer, land surface, channel) of calibration parameters selected); (2) the type of state observations assimilated (streamflow, groundwater head); and (3) the length of testing period (1 to 14 years), using monthly streamflow and groundwater head as testing data. The experiments were completed for models of the Winnebago River watershed (Minnesota, Iowa), (significant tile drainage) and the Nanticoke River watershed (Delaware, Maryland (significant groundwater‐channel interactions). The selected hydrologic model is SWAT+, using the gwflow module for physically based groundwater storage and flow modelling, and simulations are run for the 2000–2015 period. Through this process, we found that increasing the number of parameters from 5 to 15 improves the representation of streamflow, principally through an improvement of groundwater storage representation and baseflow generation, but minimal improvement when increasing to 20 parameters. Therefore, the SA‐UA‐PE process can be optimised based on an ideal number of parameters that yield adequate results while maintaining a lower computational burden. The method presented here can be used for any watershed, using integrated surface‐subsurface hydrologic models.

In search of problems

With early training in physics, my career was marked by continuous learning and searching for interesting problems in biology. Here, I recount some key events that influenced my choices of research topics. The diversity of topics could be attributed to my own lack of a particular focus and the interests of students and postdocs who happened to join my laboratory. My scientific and educational ventures led to my extensive involvement in Chinese neuroscience and various studies in non-human primates.

On the issue of the effectiveness of the civil law method in the regulation of health protection relations

The subject of the study is the rights of citizens to health protection, as well as the possibility of their transformation in the direction of strengthening the legal nature of these relations. In the context of the dominance of the sectoral approach in law, the author develops ideas about subjective law as an effective regulator of patient behavior. The opinion is expressed that the responsibility of the subject's independent choice can give a new impetus to improving the level of quality indicators of medical care, ensuring the timeliness, qualification and comprehensiveness of examinations. An attempt has been made to shift the focus in the process of streamlining relations from the subject of legal regulation to methods. New opportunities have been identified to increase the level of the legal nature of court decisions that can take into account the objective need to expand the scope of private law (civil) ways of influencing the patient on the medical process. The dialectical method has become the main research method. The conditions for improving medical care are revealed, taking into account the differences between public law and civil law regulatory methods in solving problems of law enforcement practice. The scientific novelty is that the examples of legal practice have provided new knowledge necessary for the development of existing doctrinal approaches in legal science. The limitations of the sectoral approach in law, due to the high degree of dynamism of society, are convincingly argued. It has been established that orientation to the subject of legal regulation, as an unconditionally dominant factor in choosing a strategy and tactics for streamlining relations, does not always ensure the completeness of the legal nature of judicial acts. The emphasis of legal regulation in health protection is focused on the priority use of public law (or "organizing") methods that guarantee the mass provision of medical care designed for everyone. The possibility of providing quality indicators of care to a specific patient with special health characteristics and conditions for receiving it is still secondary. It is necessary to actively apply civil law methods of protecting the right to health protection, while skillfully using the resource potential of the law.

Nonopioid Drugs for Postoperative Pain: A Selection Governed by Choices of the Authors of Academic Articles

The opioid crisis has profoundly changed the interest in using nonopioid analgesics. This review identified nonopioid drugs receiving the most interest in the treatment of postoperative pain. Publication-based interest, which reflects the authors’ choices of subjects for academic articles, was used to show the shifts in their interest. The authors’ choices of a particular drug for an article’s subject were regarded as reflective of the collective opinion of experts most knowledgeable on the subject. The frequency with which a drug was the topic of an article was measured with the use of specific bibliometric indices. They were employed to select nonopioid drugs for this review. These included acetaminophen, dexmedetomidine, dexamethasone, ketamine, gabapentin, ibuprofen, ketorolac, diclofenac, magnesium sulfate, clonidine, intravenous lidocaine, and meloxicam (in order of most to least bibliometric interest). Individual reviews on these agents described how the bibliometric indices characterized a drug. They also addressed the question of whether a nonopioid analgesic produced a marked opioid-sparing effect. Information relative to this question was presented via the results of meta-analyses with emphasis on the possible reduction of opioid-related side effects. Overall, nonopioid drugs demonstrating the largest popularity among authors and continuous interest growth in 2018-2022 include acetaminophen, dexmedetomidine, dexamethasone, and ibuprofen. The relevant meta-analyses show that nonopioids, administered as components of multimodal analgesia, provided the opioid-sparing effect; they also show that the most common change in the opioid-related side effects was a lower incidence of postoperative nausea and vomiting.