Results 141 to 150 of about 14,907 (236)
Abstract In recent years, Berlin has emerged as an epicenter of climate activism in Germany. There, a range of groups have mobilized in opposition to the role of the German state and the EU in accelerating the climate crisis. Many activists now see conventional political responses as exhausted and have turned to increasingly radical forms of civil ...
Max Jack
wiley +1 more source
Abstract This commentary examines how artificial intelligence (AI) reshapes scholarly authorship through Fredrik Barth's figures of the guru and the conjurer. The guru instructs within moral and scholarly frameworks, while the conjurer mystifies through spectacle.
Jaap Timmer, Anna‐Karina Hermkens
wiley +1 more source
Language machines: Toward a linguistic anthropology of large language models
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
American Anthropologist, Volume 128, Issue 2, Page 424-426, June 2026.
Andrew Brandel
wiley +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley +1 more source
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley +1 more source
Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley +1 more source
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley +1 more source
Archaeological and palaeoenvironmental evidence from the Armenian Highlands and wider southern Caucasus region emphasises the significance of Marine Oxygen Isotope Stage 3 (c.
Jennifer E. Sherriff +20 more
doaj +1 more source
Relatively open vegetation landscapes promoted early Pleistocene hominin evolution
Vegetation structure and landscape openness are key ecological factors influencing human behavioural and cultural adaptation strategies. However, there is ongoing debate and lack of quantitative assessment about which vegetation landscape and openness ...
Baoshuo Fan +12 more
doaj +1 more source

