Encyclopedia, Volume 6, Issue 2 (February 2026) – 23 articles

The Neuroaesthetics-informed approach to the urban environment examines how the sensory properties of buildings, streets, and public spaces are processed by the human brain, and how this processing affects health, well-being, and behavior. Drawing on neuroscience, psychology, and architectural research, it examines how attributes such as organized visual complexity, fractal structure, materiality, color, light, scale, and spatial configuration shape perceptual fluency, stress regulation, affective states, cognition, and even influence social interaction in cities. The literature discussed was identified through targeted searches of peer-reviewed journals in neuroscience, psychology, architecture, urban design and public health, with emphasis on studies examining perceptual processing, affective responses, psychophysiological indicators, and health-related proxies in relation to environmental form, as opposed to general environmental health work. Practical applications are discussed. Full article

Fintech populism is an analytical and metaphorical concept that describes a pattern of digital financial participation. In this pattern, financial technologies are framed as enabling broad, direct engagement with financial systems. This engagement is often facilitated by simplified, user-centered, highly accessible digital interfaces. It does not refer to a political ideology but rather denotes a mode of participation characterized by mass accessibility, immediacy, and symbolic inclusion, which are all enabled by fintech platforms. In this context, fintech populism describes how digital finance expands participation through mobile applications, platform-based investing, and decentralized financial technologies. Participation is primarily enacted through technologically structured interactions. Engagement is facilitated via algorithms, interfaces, and platform rules, which shape how users access financial services and interpret financial information. Fintech populism is used descriptively to highlight the tension between increased access and users’ limited ability to influence the governance, design, or accountability structures of digital financial systems. As an analytical term, fintech populism highlights the transformation of financial participation from institution-based mechanisms to platform-based interactions. In this model, visibility and engagement increase without implying corresponding changes in decision-making authority or control. Full article

Migration is often viewed through an economic lens, but it also drives a profound transfer of intangible resources, including ideas, attitudes, beliefs, practices, values, and norms. This review examines the emerging literature on social remittances across post-transition economies. These countries are characterized by their shift from socialist planning to market-oriented systems. Based on an analysis of twenty-six publications, this literature review examines the mechanisms through which intangible resources are acquired, transferred, and implemented among migrants, their communities of origin, and even their destination societies. The evidence reveals that migrants often act as agents of change, transferring knowledge and practices that influence areas from entrepreneurship and politics to science, gender norms, and everyday life. Future research should analyze the social networks, structural constraints, and digital tools that facilitate these knowledge transfers across the skill spectrum. Such work is important for developing holistic policies that can leverage the social remittances of diverse migrant groups as a sustained resource for social innovation and development in evolving economies. Full article

Rural tourism is defined as a tourism activity in which the visitor’s experience is linked to agricultural activities, rural lifestyles, and traditional cultures. In many geographical contexts, especially in Europe, because the rural economy is so deeply tied to family farming, this form of tourism is referred to as “agritourism”, even though agrotourism is a specific subset of rural tourism defined by the integration of tourism with a working farm or agricultural operation. The entry delineates the transformative dynamics of rural tourism in the context of global shifts towards personalized, experiential travel. It examines how contemporary tourists increasingly seek authentic and immersive experiences as a response to the superficiality of mass tourism. This trend leads travellers to engage deeply with local cultures, thereby fostering connections with community life and prioritizing sustainability. Amidst challenges such as environmental degradation and overtourism, rural tourism emerges as a viable alternative, offering unique, less-congested destinations that cater to travellers’ desire for exclusivity and genuine discovery. The paper traces the historical evolution of rural tourism from its European origins in mid-20th-century agricultural practices to its current status as a vital component of rural development strategies. Through a comparative analysis of two distinct regional scenarios, Europe and Oceania, this article elucidates how local contexts shape tourism practices. The analysis highlights the pivotal role of gastronomy in enriching tourist experiences and emphasizes the need for digital literacy and eco-effectiveness in rural tourism operations. Although the entry does not provide a comprehensive global perspective on rural tourism or a quantitative environmental account of the sector’s impact, it ultimately conveys that rural tourism is a critical engine of regional vitality and sustainability, illustrating the juxtaposition of historical roots and contemporary trends that define this evolving sector. Full article

Translation primarily refers to interlingual translation here, i.e., the transfer of texts (broadly understood) between distinct languages. Wordplay is used synonymously with puns, while language-play is a broader concept referring to the intentional manipulation of linguistic elements for special effects. Language-play thus includes, but is not limited to, wordplay. This paper provides an overview of the issues involved in the translation of language-play, including wordplay. To this end, definitions, categories, and arguments related to translation on the one hand, and to word- as well as language-play on the other, are presented. This includes an introduction to different modes, purposes, and challenges of translation, as well as a discussion of the possible forms, functions, and effects of language-play, partly in relation to humour. Based on this groundwork, claims and findings related to the combination of the fields, i.e., the translation of word- and language-play, will be summarized. The paper concludes with an attempt at placing word- and language-play translation into a broader context, including societal and educational concerns, as well as the latest changes affecting the translation profession. Full article

This entry paper explores the multifaceted oral health crisis in the Pacific island nation of Tuvalu, a remote archipelago of nine coral atolls. It delves into the severe burden of oral diseases, such as early childhood caries (ECC) and periodontitis, which are rampant within its population of just over 11,000. The analysis investigates the primary drivers of this crisis, including a significant dietary transition towards imported, ultra-processed foods, compounded by profound socioeconomic challenges and a lack of public health literacy. The paper critically examines the systemic failures of the national healthcare system, characterized by the absence of a formal oral health policy and a critically inadequate dental workforce, which forces residents to seek complex care abroad. Furthermore, it highlights how extreme geographic isolation and severely limited air connectivity function as direct barriers to accessing essential services, rendering specialized treatments like orthodontics and effective management of dental emergencies virtually impossible. In response to these challenges, the paper discusses innovative, forward-looking solutions, including the potential of teledentistry to bridge service gaps, the strategic development of regional medical or dental hubs in proximity to the biggest airports to centralize care, and the necessity of integrating oral health into broader strategies for economic development and climate resilience. Full article

Artificial intelligence is increasingly being used in all branches of the media system and has transformed the way specialists in this field work in recent years. Currently, applications of artificial intelligence are used across a range of processes involved in the production, editing, distribution, and consumption of media content. These include technologies such as generative chatbots, automated transcription, writing, translation, and editing tools, as well as applications for image and video creation. All of these types of applications have taken over a significant portion of the traditional activities carried out by media professionals. From a technological point of view, these uses primarily rely on machine learning, natural language processing, and computer vision techniques, complemented by generative models that automatically analyze, generate, and interpret text, sound, and images. Although these technologies contribute to increased efficiency, faster work, and reduced operating costs, they also pose significant risks, particularly regarding the spread of false information. From a theoretical perspective, artificial intelligence goes beyond the status of a technological tool, being conceptualized as a communicational actor that actively intervenes in the generation, structuring, and circulation of messages, influencing the relationships between producers, content, and audiences in the current media environment. Full article

The career anchor (CA) is a metaphor created by Edgar Schein to illustrate the role of patterns of self-perceived talents, motives, and values in guiding, stabilizing (i.e., anchoring), and integrating a person’s work career. With the early years of work experience, this pattern tends to stabilize into one of the possible CAs and plays two main roles: guiding the selection of specific occupations and work environments; shaping individual reactions to the actual occupation and work environment. Since Schein’s initial conceptualization, theoretical refinements have been proposed, suggesting that CAs can change over time and that multiple CAs can coexist. Although substantial evidence supports the theory’s key predictions, the available literature appears fragmented, with a primary focus on descriptive concerns. Actual measurement issues also limit the development of theoretical knowledge. This entry provides an updated overview of the central predictions related to CAs, aiming at promoting greater integration and coherence in research and practice. Full article

The concept of Pedagogical Content Knowledge (PCK) was introduced by Shulman in 1986 as a distinctive form of teacher knowledge that transcends mere content expertise or general pedagogical skills. Shulman described PCK as “the amalgam of content and pedagogy” that distinguishes the experienced teacher from the content specialist. This conceptualization revolutionized research on teacher knowledge by highlighting the importance of understanding how teachers transform subject matter into forms that are pedagogically sound and accessible to diverse learners. Since Shulman’s seminal work, numerous PCK models have been developed, leading to the Consensus Model of PCK published in 2015 and, subsequently, the Refined Consensus Model of PCK in 2019. Both frameworks move the field beyond static views of teacher knowledge and emphasize the recursive processes through which teachers plan, teach, reflect, and reshape their professional knowledge. Over four decades of PCK research, PCK models have differed in their epistemological grounding, as well as in the components used to represent the structure of the PCK construct. Full article

Value is the result of the combined, conscious, and creative actions of caring, which promote sustainable prosperity. Despite its centrality in marketing theory, value is treated in the literature as a self-evident, abstract term denoting concepts as diverse as the desire to acquire goods or enjoy services, the benefits derived from using a product, the price of an object, or a customer’s contribution to business profits. This approach leads to amoral marketing decision-making focused on extracting value from stakeholders and accumulating it in the form of shareholder wealth. In this framework, the negative consequences of marketing actions for society and the natural environment are simply dismissed as externalities. This is not sustainable as it degrades the environment and increases wealth and human welfare disparities between individuals, groups, and societies. Drawing on conceptualisations of value from the fields of philosophy, semiotics, and economics, value is here defined as the result of the combined, conscious, and creative actions of caring which promote sustainable prosperity. As such, value is understood to be co-created by the interactions of various stakeholders and positioned as the link between individuals, companies, markets, society, and the natural environment. Marketing theory has traditionally viewed value creation and exchange as the result of dyadic interactions. The socioeconomic and technological milieu of the 21st century, however, creates a business ecosystem characterised by digitalisation, interconnectivity, and decentralisation which means that, the number of participants in value co-creation networks is increasing and potentially tending towards infinity. Consequently, marketing is reconceptualised as the values-driven mechanism for value formation, valuation, symbolism, exchange facilitation, and integration of the resources required for value co-creation and distribution aiming at contributing to sustainable prosperity. Virtuous marketers and mindful marketing practice can ensure the optimal use of resources and the maximisation and equitable distribution of welfare in the present without compromising the ability of future generations to continue to generate and enjoy value. Thus, by placing value at the centre of the business ecosystem, marketing contributes to sustainable prosperity. Full article

Schrödinger’s path to the quantum mechanical wave equation was heuristic and guided more by physical intuition than formal deduction. Here we derive the Schrödinger equation for the particle’s wave function $\mathsf{\Psi }$, assuming that the complex function $\mathsf{\Psi }(\mathrm{t},\overrightarrow{r})$ has a meaning of the probability amplitude to find the particle at time $t$ at point $\overrightarrow{r}$ and the relations $E=\hslash \omega$, $\overrightarrow{p}=\hslash \overrightarrow{k}$ expressing particle energy and momentum in terms of the frequency and wave vector of the associated probability wave. Full article

The Sexual Intent Perceptions Questionnaire (SIP-Q) is a 25-item instrument designed to measure interpretations of women’s sexual willingness communicated via various behaviors. The instrument demonstrates high internal consistency using a 7-point Likert-type scale. Applications of the SIP-Q include assessing observers’ tendency to overperceive women’s sexual interest, testing the effects of drive states such as sexual arousal and feelings of power on ratings of women’s sexual interest, and exploring how variables such as physical attractiveness and actor–observer positionality may be associated with sexual perceptions. Studies employing the SIP-Q revealed that sexual arousal tends to increase ratings of sexual willingness, particularly among single men, and that women’s physical attractiveness can enhance these perceptions, especially when the man himself is the recipient of the woman’s behavior. The instrument is beneficial for examining sources of sexual miscommunication. Full article

Inclusive AI-mediated mathematics education for students with learning difficulties refers to a human-centered approach to mathematics teaching and learning that uses artificial intelligence (AI), adaptive technologies, and data-rich environments to support learners who experience persistent challenges in mathematics. These challenges may take the form of a formally identified developmental learning disorder with impairment in mathematics, broader learning difficulties, low and unstable achievement, irregular engagement, or heightened mathematics anxiety that places students at risk of disengagement and poor long-term outcomes. This approach integrates early screening, personalized instruction, and affect-aware support to address both cognitive difficulties and the emotional burden associated with mathematics anxiety. Situated within digitally augmented schools, homes, and community spaces typical of smart cities, it seeks to reduce stress and anxiety, prevent the reproduction of educational inequalities, and promote equitable participation in science, technology, engineering, and mathematics (STEM) pathways. It emphasizes Universal Design for Learning (UDL), ethical and transparent use of learner data, and sustained collaboration among teachers, families, technologists, urban planners, and policy-makers across micro (individual), meso (school and community), and macro (urban and policy) levels. Crucially, AI functions as decision support rather than replacement of pedagogical judgment, with teachers maintaining human-in-the-loop oversight and responsibility for inclusive instructional decisions. Where learner data include fine-grained logs or affect-related indicators, data minimization, clear purpose limitation, and child- and family-friendly transparency are essential. Implementation should also consider feasibility and sustainability, including staff capacity and resource constraints, so that inclusive benefits do not depend on high-cost infrastructures. Full article

The high costs and time-consuming nature of space exploration missions are among the major barriers to studying deep space. The lack of samples and limited information make such studies challenging, highlighting the need for innovative solutions, including advanced data-mining techniques and tools such as geochemical modeling, as strategies for overcoming challenges in data scarcity. Geochemical modeling is a powerful tool for understanding the processes that govern the composition and distribution of elements and compounds in a system. In cosmology, space geochemical modeling could support cosmochemistry by simulating the evolution of the atmospheres, crusts, and interiors of astronomical objects and predicting the geochemical conditions of their surfaces or subsurfaces. This study uniquely focuses on the geochemical modeling of celestial bodies beyond Mars, fills a significant gap in the literature, and provides a vision of what has been done by analyzing, categorizing, and providing the critical points of these research objectives, exploring geochemical modeling aspects, and outcomes. To systematically trace the intellectual structure of this field, this study follows the PRISMA guidelines for systematic reviews. It includes a structured screening process that uses bibliographic methods to identify relevant studies. To this end, we developed the Custom Bibliometric Analyses Toolkit (CBAT), which includes modules for keyword extraction, targeted thematic mapping, and visual network representation. This toolkit enables the precise identification and analysis of relevant studies, providing a robust methodological framework for future research. Europa, Titan, and Enceladus are among the most studied celestial bodies, with spectrometry and thermodynamic models as the most prevalent methods, supported by tools such as FREZCHEM, PHREEQC, and CHNOSZ. By exploring geochemical modeling solutions, our systematic review serves to inform future exploration of distant celestial bodies and assist in ambitious questions such as habitability and the potential for extraterrestrial life in the outer solar system. Full article

Therapeutic approaches using virtual reality (VR) have been effective in recovering function against various physical and cognitive disorders. Given its programmability and precise activity tracking, VR is a powerful tool for therapists to personalize treatments and monitor their patients more effectively. Due to the growing prevalence of VR systems for personal and work uses, and the high reliability of broadband telecommunication, the opportunity to standardize remote delivery of VR therapies is apparent. VR-based rehabilitation has high potential to be a cornerstone approach for remote therapies given critical features: (1) accessibility for home users, (2) patient–therapist engagement, (3) capacity for personalization, and (4) capabilities for precision monitoring. Unlike prior reviews that summarize established measures of efficacy of VR-based rehabilitation for various clinical populations, this perspective highlights the potency of applying VR rehabilitation methods remotely and ways to expand and optimize that usage such as its integration with wearables for monitoring and AI. Moreover, this paper restricts its focus to VR as opposed to augmented (AR) or mixed-mode (MR) reality platforms that are also increasing their prevalence in clinical settings. This perspective article broadly overviews VR-based therapies for rehabilitating physical and cognitive function for various disorder cases before postulating their potential as an effective platform for delivering remote treatment. This article concludes with essential considerations for advancing VR-based remote therapy in the future. Full article

With the understanding that language variation, whether synchronic or diachronic, is, for the most part, not random but systematic and predictable, linguists and philologists have long engaged with the task of providing accounts and explanations for how a phenomenon in a given language moves from stage a to stage b, with a temporally preceding b. A usage-based approach to diachronic change takes as its basis a fundamental link between usage and the evolution of linguistic structure through time. More specifically, motivations for language change are sought in areas that involve speakers using language and interacting with one another, such as discourse and communication, as well as cognitive processes involved in producing and understanding language. Mechanisms that contribute to language change include pragmatic inferences, frequency, (inter)subjectification and discourse management (turn-taking). Full article

The digital labour economy is a system where work is mediated through digital technologies and online platforms. Work is often also called platform labour or gig work. China has brought out new labour protections to promote and support these new forms of employment (NFE) to address gaps in existing labour rights, personal data protection, and AI governance. However, a new type of work in the digital labour economy is creative digital platform work, which is distinct from other kinds of digital work and gig work that only uses AI and digital platforms to receive work, gigs, and tasks. Visual artists’ work is mediated by multiple digital software, AI programs, platforms, and apps. However, they do not have the usual ‘labour relationship’ like gig workers or platform labourers, as they are not employed by any single platform. Full article

The Philosophy of Education investigates the epistemological, anthropological, and ethical–normative foundations of education. It examines the meaning, purposes, and conditions of possibility of educational processes, bringing to light the implicit assumptions that underlie pedagogical theories and practices. Historically developed in close dialogue with both philosophy and pedagogy, the Philosophy of Education performs a critical–metatheoretical function and, more fundamentally, a constitutive one: it seeks to clarify the formal object of education and to restore its unity and intelligibility. From this perspective, it helps to establish Pedagogy as an autonomous field of knowledge—primarily descriptive–interpretative and only thereafter practical–normative—capable of understanding education as a human phenomenon that is historically and culturally situated. Full article

In the present qualitative study, we first synthesize research to clarify the concept of error in science as developed by epistemologists, philosophers, and historians. We also examine the concept of error in educational science, drawing from studies on science learning and teaching. To do this, we analyzed references found through a systematic review of books and journals. We also selected published articles on the history of physics and chemistry and consulted documents authored by scientists in English or in official translations. We guided our selection by choosing sources relevant to conceptualizing error in scientific and educational contexts. Our key findings show two categories of scientific error: those that have contributed to scientific progress and those that have hindered it. Some renowned scientists, such as Aristotle and Buridan, put forward theories of force and movement that were later shown to be false. However, these errors did not always impede scientific advancement. This research highlights how scientific errors have shaped the evolution of science and reveals insights into the scientific process and the resilience of the scientific community. In science education, researchers use various terms such as “student naïve reasoning,” “students’ alternative conceptions,” “students’ alternative theory,” and “misconceptions.” Students’ errors, like scientific errors, can be classified into two categories. The first type involves errors from distractions, misunderstandings, or unintentional mistakes. The second type results from students’ interactions with many natural and man-made phenomena, the common language used in society (which differs from scientific language), and errors passed down by teachers or found in textbooks. Finally, we note that identifying errors among scientists and students supports the development of strategy-based teaching for meaningful science learning. From this perspective, students will be pleased to know that some of their conceptions of force and motion are “similar” to those developed by Aristotle and Buridan, even if these conceptions are false relative to those developed by Galileo and Newton. Recognizing both scientists’ and students’ errors is essential for creating teaching strategies that promote deeper science learning. Full article

Digital mental health resources have expanded rapidly in the wake of the COVID-19 pandemic, offering new opportunities to improve access to mental healthcare through technologies such as AI chatbots, mobile apps, and online platforms. Despite this growth, significant challenges persist, including low user retention, limited digital literacy, unclear privacy regulations, and insufficient evidence of clinical effectiveness and safety. AI chatbots, which act as virtual therapists or companions, provide counseling and personalized support, but raise concerns about user dependence, emotional outcomes, privacy, ethical risks, and bias. User experiences are mixed: while some report enhanced social health and reduced loneliness, others question the safety, crisis response, and overall reliability of these tools, particularly in unregulated settings. Vulnerable and underserved populations may face heightened risks, highlighting the need for engagement with individuals with lived experience to define safe and supportive interactions. This review critically examines the empirical and grey literature on AI chatbot use in mental healthcare, evaluating their benefits and limitations in terms of access, user engagement, risk management, and clinical integration. Key findings indicate that AI chatbots can complement traditional care and bridge service gaps. However, current evidence is constrained by short-term studies and a lack of diverse, long-term outcome data. The review underscores the importance of transparent operations, ethical governance, and hybrid care models combining technological and human oversight. Recommendations include stakeholder-driven deployment approaches, rigorous evaluation standards, and ongoing real-world validation to ensure equitable, safe, and effective use of AI chatbots in mental healthcare. Full article

Auxology is the scientific discipline dedicated to the study of human growth and development, with particular emphasis on the patterns, timing, and biological regulation of physical growth from infancy through adolescence. It integrates medical, biological, anthropological, and clinical perspectives to examine both normal and pathological growth processes, including somatic development, skeletal maturation, and pubertal progression. Historically, Auxology evolved from early anthropometric observations and the emergence of statistical reasoning, which established growth as a measurable and variable biological phenomenon. The discovery of X-rays in the late nineteenth century represented a major methodological advance, enabling direct assessment of skeletal maturation and leading to the development of standardized bone age methods, such as the Greulich and Pyle atlas and the Tanner–Whitehouse system. In recent decades, digital imaging and computational approaches, including machine learning and artificial intelligence, have further enhanced the accuracy and reproducibility of growth assessment. Today, auxology constitutes a fundamental scientific framework in pediatric medicine, epidemiology, and public health for understanding human growth as a dynamic, multifactorial, and context-dependent process. Full article

MMC has been globally recognised as a promising solution for the current global social housing crisis, although persistent challenges remain in relation to limited early-stage design coordination and chronic design inconsistencies, which often cause costly post-design modifications. In response, digital twinning enabled through BIM has emerged as a compelling approach to tackle these challenges. BIM serves a transformative role in advancing sustainable social housing supply by integrating BIM with advanced smart technologies such as AR/VR, IoT, AI, and robotics. Nevertheless, significant constraints continue to impede a wide adoption of BIM due to technical capacity, organisational readiness, knowledge dissemination, and legal frameworks that support embracing BIM and associated smart technologies. Moreover, a notable knowledge gap persists in the application of BIM-enabled digital twinning across the entire project lifecycle of MMC projects, which may be addressed through the integration of Industry 5.0 principles with BIM, emphasising human-centricity, resilience, and sustainability as foundational pillars for future innovation. Full article

Extremes of the Edgeworth box concern corner allocations and their relationship to the contract curve in a two-good, two-agent exchange economy. In the standard pure-exchange setting with well-behaved preferences, the contract curve comprises all Pareto-efficient allocations, including interior tangencies and boundary corners, where no mutually beneficial trade remains. When money is introduced as a numéraire (a medium of exchange only), real feasibility and preferences are unchanged, so the contract curve remains the benchmark for efficiency. When money provides liquidity services (is valued for holding), agents may rationally abstain from trade even near interior tangencies; short-run outcomes can therefore include inaction at corners. This entry defines these objects, outlines the efficiency conditions at boundaries, and summarizes how monetary interpretations affect short-run behavior in general equilibrium and monetary economics. The Edgeworth geometry remains a real-exchange depiction; when we discuss money as a store of value, we use it as a short-run, reduced-form outside option that proxies intertemporal motives. This does not “fix” the box; it clarifies why no-trade at or near corners can be individually rational when liquidity is valued. Full article