Results 171 to 180 of about 3,847 (306)

Human‐supervised LLM triage of pig butchering complaints: A validation study of multi‐model identifier extraction

open access: yesJournal of Forensic Sciences, EarlyView.
Abstract Digital forensic investigations increasingly process unstructured cryptocurrency‐fraud complaints at intake while preserving analyst oversight before evidentiary or downstream investigative use. This validation study evaluates whether human‐supervised multi‐model LLM extraction can recover triage‐relevant identifiers from California DFPI pig ...
Sanghyeob Ko   +3 more
wiley   +1 more source

Contrastive ecoacoustic indices: Large‐scale global soundscape characterization with contrastive inference

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut   +7 more
wiley   +1 more source

Short‐Term Profits for Long‐Term Value: Corporate ESG Dilemmas Under Earnings Pressure and Pathways to Governance

open access: yesAccounting &Finance, EarlyView.
ABSTRACT This study examines the negative effect of earnings pressure (EP) on corporate environmental, social, and governance (ESG) performance and explores governance mechanisms that can address this problem. Drawing on behavioural agency theory and incorporating insights from resource allocation theory and agency theory, this paper identifies the key
Sha Tang   +2 more
wiley   +1 more source

Formation of Business‐Nonprofit Collaborations: A Matching Approach

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Business‐nonprofit collaborations are essential for addressing organizational and societal challenges, yet research has largely examined their formation from the perspective of a single partner rather than as a two‐sided process. In this study, we conceptualize collaboration formation as a dyadic matching process and examine two related ...
Andrea Rizzuni, Paola Garrone
wiley   +1 more source

When machines join the moral circle: The persona effect of generative AI agents in collaborative reasoning

open access: yesBritish Journal of Educational Technology, EarlyView.
Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin   +7 more
wiley   +1 more source

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