Results 121 to 130 of about 14,505 (295)
When AI outputs become documents: Documentation activity in human–AI dialogue
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
wiley +1 more source
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley +1 more source
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples. [PDF]
Tuna OF, Catak FO, Eskil MT.
europepmc +1 more source
Epistemic uncertainty quantification in scientific models
In the field of uncertainty quantification (UQ), epistemic uncertainty often refers to the kind of uncertainty whose complete probabilistic description is not available, largely due to our lack of knowledge about the uncertainty.
Chen, Xiaoxiao
core
Decision making under epistemic uncertainty : an application to seismic design [PDF]
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2008.Includes bibliographical references (leaves 90-92).The problem of accounting for epistemic uncertainty in risk management decisions is conceptually ...
Agarwal, Anna
core
Abstract Content‐based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification ...
Zehra Taşkın
wiley +1 more source
Abstract To negotiate quality in early childhood education and care, we must ask from different perspectives what constitutes a good centre for children. The children themselves have only recently been identified as a resource to contribute to that discussion.
Katrin Macha +4 more
wiley +1 more source
Incorporation of Epistemic Uncertainties in Resource Conservation Networks with Multiple Resources
Pinch Analysis is an effective technique to optimise Resource Conservation Networks (RCNs). These networks are widely used in process industries like petrochemical, pharmaceutical, and cement.
Abhishek K. Pandey +1 more
doaj
Abstract Drawing upon interview research across two academic departments as part of the early stages of a ‘decolonise the curriculum’ initiative at a Southern UK university, this study highlights a growing gulf between policy and practice in efforts to address systemic racial inequalities in UK universities. A reliance upon precarious labour, a culture
Triona Fitton +4 more
wiley +1 more source
Approximated computation of belief functions for robust design optimization
This paper presents some ideas to reduce the computational cost of evidence-based robust design optimization. Evidence Theory crystallizes both the aleatory and epistemic uncertainties in the design parameters, providing two quantitative measures, Belief
Massimilano Vasile +5 more
core +1 more source

