...Chao Cai Purpose This article introduces the CARDLG framework: Collections, Access, Retrieval, Description, Literacy and Governance. The framework analyzes how generative artificial intelligence (AI) and large language models reconfigure recurring library infrastructural dimensions rather than...

... theorising the formative moment between neural–cultural formation and exosomatic expression. Intentionism complements rather than displaces existing metatheories, responding to conditions in which large language models, recommendation algorithms and generative systems embed intent structurally, making...

...Brady D. Lund; Zoë Abbie Teel; Brett Porter; Anuradha Chandrasekaran; Sanket Ramchandra Patole Purpose This conceptual paper responds to the growing gap in artificial intelligence (AI) literacy among users of large language models (LLMs) and other AI systems in recent years. While explainable AI...

...Amalia Nurma Dewi; Bent Sørensen; Martin Muderspach Thellefsen Purpose This paper aims to develop a multi-level ethical framework for the integration of large language models (LLMs) into knowledge organization (KO) and knowledge organization systems (KOS). It addresses the ontological shift from...

... purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence . Information behaviour Generative AI Large language models Information seeking Wilson's model AI literacy Trust calibration...

...Martin Muderspach Thellefsen; Amalia Nurma Dewi; Bent Sørensen Purpose This paper aims to explore prompts and prompting in large language models (LLMs) as dynamic semiotic phenomena, reconceptualizing the practice from a technical input mechanism to a communicative and epistemic act that involves...

...Eungi Kim Purpose This study examines whether large language models (LLMs) can provide consistent content-based classification of core Library and Information Science (LIS) journals. Design/methodology/approach Using 4,405 abstracts from ten core LIS journals (2019–2024), four LLMs...

...Giorgia Crosilla; Lukas Klic; Giovanni Colavizza Purpose The aim of this work is to provide an overview of the current capabilities of Multimodal Large Language Models (MLLMs) for Handwritten Text Recognition (HTR), assessing their potential when compared to traditional task-specific, supervised...

... report (Wilsdon et al., 2015), the Leiden Manifesto (Hicks et al., 2015) and by CoARA (coara.eu), as well as by supporting initiatives like DORA (sfdora.org). ChatGPT Large language models LLMs Research evaluation Scientometrics Bibliometrics Within the speciality...

...Sascha Donner Purpose The development of large language models (LLMs) has significantly enhanced capabilities in AI-powered text generation. The impact of this new technology, which is expected to significantly influence our work and private lives, on document creation is still largely unknown...

... JEL codes Artificial intelligence Large language models Search costs Bounded rationality The Journal of Economic Literature (JEL) classification codes system maintained and published by the American Economic Association is the de facto standard for classifying research papers in economics...