This paper proposes a human-centered workflow in which AI assists editorial practices through schema-constrained suggestions, consistency checks, and semantic pattern detection while preserving human authority over interpretative decisions.
Local governments are beginning to use artificial intelligence (AI) in internal administrative work, including recruitment. In a decentralized municipality, however, a standardized AI assessment must travel between a technology vendor, central HR specialists, recruiters, and hiring managers responsible for different se...
Jonny Holmström· Government Information Quart...· 0 citations
The structured, machine-readable metadata that researchers and librarians generate to make scholarly outputs retrievable has become, in the age of artificial intelligence (AI), the decisive input shaping what knowledge can be found, ranked, and generated. This article argues that this metadata is produced through a cyc...
Elena Battaner Moro· KULA knowledge creation diss...· 0 citations
This article examines how TEI-based digital archives and human-curated annotation layers can support documented uses of large language models in literary analytics and proposes a layered workflow in which TEI, taxonomies, authority records, annotation tables, machine-readable metadata, and validation procedures interac...
Diego Emanuel Giménez Celano· Analytics· 0 citations
MOOSEDev, a system designed to give coding agents structured, ontology-grounded project memory, is introduced and a temporal commit-history bootstrap of the author's own codebase, a pre-registered live trial, and lessons learned are described.
This article examines the philosophical consequences of translating Igbo concepts into English
before those concepts have been sufficiently articulated within their indigenous linguistic
world. It argues that premature translation can produce what is termed epistemic dislocation:
the relocation of knowledge from its...
Felix Ijegalu· IKEMBA INTERNATIONAL JOURNAL...· 0 citations
ReSB2 is introduced, a framework for retrieving and linking similar legislative bills that supports human–machine collaboration and helps reduce redundancy in the lawmaking process, and fine-tunes two ModernBERT-based language models on authentic legislative data.
Lucas G. L. Costa, Átila Souza, Elves Rodrigues et al.· Proceedings of the 37th ACM...· 0 citations
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