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Can a monkey own a selfie? Can a chimp use habeas corpus to sue for freedom? Can androids be citizens? Increasingly, such difficult questions have moved from the realm of science fiction into the realm of everyday life, and scholars and laypeople alike are struggling to find ways to grasp new notions of personhood. Posthuman Folklore is the first work of its kind: both an overview of posthumanism as it applies to folklore studies and an investigation of \"vernacular posthumanisms\"--the ways in which people are increasingly performing the posthuman. Posthumanism calls for a close investigation of what is meant by the term \"human\" and a rethinking of this, our most basic ontological category. What, exactly, is human? What, exactly, am I? There are two main threads of posthumanism: the first dealing with the increasingly slippery slope between \"human\" and \"animal,\" and the second dealing with artificial intelligences and the growing cyborg quality of human culture. This work deals with both these threads, seeking to understand the cultural roles of this shifting notion of \"human\" by centering its investigation into the performances of everyday life. From funerals for AIBOs, to furries, to ghost stories told by Alexa, people are increasingly engaging with the posthuman in myriad everyday practices, setting the stage for a wholesale rethinking of our humanity. In Posthuman Folklore, author Tok Thompson traces both the philosophies behind these shifts, and the ways in which people increasingly are enacting such ideas to better understand the posthuman experience of contemporary life.

[...]we encourage potential authors to reach out to the Collective with any questions and to explore the various avenues available within the journal's framework for publication. [...]a collective model moves us out of isolation. Academic folklorists in particular often work alone, even as we study the exchange of ideas among peoples in various communities.

The SARS-COV-2 [cornoavirus] pandemic created anxiety in most of us and left many feeling traumatized and uncertain about the future. Following closely on this has been the emergence of artificial intelligence (Al) in daily life, something that will certainly bring great change. Creativity and the creative process have the power to help us cope, to restore equilibrium, and bring us back to center. This paper explores the restorative nature of creation, the impact of human connection on inspiration and creativity, and the generative and destructive nature of creating. KEYWORDS: Creativity, Circle of Life, Art, Denise Kozikowski, Connectivity, Folk Art.

Present day dreams of technology date back to mythological times. In the Iliad, Homer talks about three-legged selfmoving chairs and golden companions who guard the chairs. Aristotle talks about creations similar to “tripods”, and Thomas Hobbes talks about wheels that move the body instead of joints. All these examples are Society 5.0; artificial intelligence, blockchain, quantum computing exemplify the internet of things. In 5.0, the robots used for housework will be called “three-legged” ones, and those who move them with a remote control will be called “golden companions”. It can be said. Humanity has activated the “urge to be immortal” since Gilgamesh and the Big Bang: Metaverse! He announced that he created virtual universes with the slogan. The field of gastronomy is widely included in the metaverse's world of meaning that creates new opportunities. Gastronomy is one of the research areas of folklore in terms of traditional eating and drinking culture and traditional culinary culture. In this study aiming to raise awareness before the metaverse; In metaverse, innovations in the field of gastronomy were introduced and Traditional Turkish Gastronomy Metaverse designs were presented.

Data-driven forecasting is becoming increasingly central to modern energy management, yet nonspecialists without a background in artificial intelligence (AI) face significant barriers to entry. While Python is the dominant machine learning language, R remains a practical and accessible tool for users with expertise in statistics, engineering, or domain-specific analysis. To inform tool selection, we first provide an evidence-based comparison of R with major alternatives before reviewing 49 peer-reviewed articles published between 2020 and 2025 in Science Citation Index Expanded (SCIE)-level journals that utilized R for energy forecasting tasks, including electricity (regional and site-level), solar, wind, thermal energy, and natural gas. Despite such growth, the field still lacks a systematic, cross-domain synthesis that clarifies which R-based methods prevail, how accessible workflows are implemented, and where methodological gaps remain; this motivated our use of text mining. Text mining techniques were employed to categorize the literature according to forecasting objectives, modeling methods, application domains, and tool usage patterns. The results indicate that tree-based ensemble learning models—e.g., random forests, gradient boosting, and hybrid variants—are employed most frequently, particularly for solar and short-term load forecasting. Notably, few studies incorporated automated model selection or explainable AI; however, there is a growing shift toward interpretable and beginner-friendly workflows. This review offers a practical reference for nonexperts seeking to apply R in energy forecasting contexts, emphasizing accessible modeling strategies and reproducible practices. We also curate example R scripts, workflow templates, and a study-level link catalog to support replication. The findings of this review support the broader democratization of energy analytics by identifying trends and methodologies suitable for users without advanced AI training. Finally, we synthesize domain-specific evidence and outline the text-mining pipeline, present visual keyword profiles and comparative performance tables that surface prevailing strategies and unmet needs, and conclude with practical guidance and targeted directions for future research.

A growing body of academic research addresses issues related to questionable choices and errors in the use of research methods in published business research. These problematic research method practices (PRMPs) may be purposeful or unconscious, but they reduce the rigor of academic research and can harm the accumulation of scientific knowledge. Yet, absent from much of this literature is a theoretically grounded approach to understanding why these problematic practices occur. Prior scholars have summarized specific types of PRMPs, but attributions about their causes are primarily limited to research lack of motivation or poor doctoral education. While these may certainly be at play, the current manuscript proposes that the deeper psychological phenomenon of cognitive bias is a likely explanation. Cognitive biases occur when human cognition produces an outcome that is systematically distorted from objective reality (Haselton, Nettle, and Murray, 2016). More colloquially, cognitive biases are systematic errors that humans make when they are faced with perceiving, remembering, and understanding information. These unintentional biases are particularly likely when that information is voluminous and ambiguous. Cognitive biases are explained by two theories—heuristic theory and fuzzy trace theory. Heuristic theory suggests that humans default to using mental shortcuts as a means to make decisions more efficiently (Chaiken and Ledgerwood, 2012). Further, fuzzy trace theory explains how memory and reasoning can be flawed (Reyna and Brainerd, 1995). Because of the limitations of the human mind, heuristic theory and fuzzy trace theory act to create unintentional cognitive biases. The current manuscript argues that the cognitive biases of source confusion, gist memory, repetition effects, bandwagon effects, and confirmation bias are mostly subconscious means by which researchers make errors in research methods use. We argue that these biases are not a useful part of the didactic approach to research, but are rather mental shortcuts that can limit researcher effectiveness. Next, specific PRMPs are addressed: reliance on methodological myths and urban legends, errors in citations, use of questionable research practices, and inappropriate use of artificial intelligence (AI) tools and technology in research. Finally, there are a number of insights and recommendations derived from research on cognitive biases to assist scholars in promoting research methods best practices. In particular, researchers can combat cognitive biases by recognizing what they are and by providing more transparency about research methods use in their articles. Incentives for authors and reviewers may reduce the impact of cognitive biases on PRMPs. Editors should create and share clear guidelines on the use of AI in research. In summary, this manuscript addresses those critical issues, fills a gap in current research regarding why PRMPs occur, and provides researchers with key insights to effectively combat cognitive biases.

Violence has played a significant role in historical narrative traditions, often reflecting broader societal norms and moral lessons. Violent deaths in Estonian folktales are examined across three subgenres: fairy tales, animal tales, and realistic tales. The analysis combines traditional folkloristic methods with AI-based corpus analysis. The study is based on a corpus of published archival texts, focusing on character roles, narrative structures, and thematic variations in the portrayal of violence. Proppian narrative functions are used to classify instances of violent death, assessing their prevalence and patterns.

This article comprehensively reviews recent advancements in digital transformation in rural tourism research. It analyzes prominent studies, key authors, and influential journals while identifying potential future research directions. From a bibliographic perspective, the study used data extracted from the Scopus database. Analytical methods, such as co-citation and co-occurrence keyword analyses, were employed to evaluate the content and assess research performance. These techniques revealed discernible patterns of international collaboration. Research on digital transformation in rural tourism has grown significantly since 2017, with the first papers published in Malaysia and China. The number of articles increased sharply in 2021–2023. China leads with nine papers, followed by Malaysia, Spain, Poland and the United States. During the analysis period, 36 journals published articles on digital transformation in rural tourism. Some journals that published only one article but received the most citations included Journal of Tourism Futures, Cogent Social Sciences and Environment, Development and Sustainability. With a minimum co-citation threshold of two, the paper identified a cluster with 31 prominent authors. The study identified five key clusters of digital transformation in rural tourism: (1)-Digital Folklore and Smart Travel Technology Before and After the Pandemic, examining shifts in traveller behaviour and folklore digitization driven by COVID-19 disruptions; (2)- Digital Technology Solutions Supporting Green and Sustainable Tourism Development, highlighting eco-friendly innovations enabled by digital tools; (3)-Applying Information Technology in Developing Community-Based Rural Tourism, exploring IT's role in empowering local communities; (4)-Digital Communications and Marketing for Rural Tourism, understanding the impact of digital marketing strategies on rural destinations; and (5)-Geographic Information System (GIS) and Scanning Technology in Rural Tourism, investigating the use of spatial and scanning technologies for rural tourism management. Researchers should consider incorporating data from additional databases, such as Web of Science (WOS), Dimensions, and PubMed, to enhance the depth and comprehensiveness of future studies. Expanding the scope of bibliographic analysis to emerging digitalization areas within tourism could further strengthen the field’s relevance and scholarly value.

What happens to a Norwegian traditional folktale when told by a Large Language Model (LLM)? As machine-generated text becomes increasingly omnipresent, the need to understand such texts through analysis using literary scholarship and seeing them through the lens of folkloristics becomes apparent. For the purposes of examining basic structures of LLM narrative, this article uses the folktale “The Sweetheart in the Forest” (ATU 955) to examine how the style and telling of folktales is adapted by LLMs, including how LLMs display a tendency towards “floating” motifs and imagery, and how the LLMs relate to the cultural specificity of the Norwegian variant.

Sports tourism is a new form of tourism based on sports resources, which attracts people to participate and feel the interest of sports activities and nature, and is an important part of sports industry. Through the field survey method and logical analysis method, we make a comparative analysis of the five existing rural sports tourism integration development models in Guangxi, analyze the problems of the existing rural sports tourism integration development models in Guangxi from macro-, meso-, and microdimensions, propose corresponding development countermeasures, provide reference for promoting the national strategy of building important tourism bases in Guangxi and theoretical system construction, use the method of fuzzy mathematics to construct a fuzzy comprehensive evaluation model, and apply this model to objectively evaluate the sports tourism resources in Guangxi Province. Finally, in response to the evaluation results, it is proposed to deeply develop characteristic advantageous sports tourism resources, focus on breakthroughs, develop fitness and leisure participation sports tourism industry, and reasonably lay out and cultivate some attractive sports tourism products.