616 research outputs found

    Retreating from Plain View: Texas v. Brown

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    (Re)Introducing communication competence to the health professions

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    Despite the central role that communication skills play in contemporary accounts of effective health care delivery in general, and the communication of medical error specifically, there is no common or consensual core in the health professions regarding the nature of such skills. This lack of consensus reflects, in part, the tendency for disciplines to reinvent concepts and measures without first situating such development in disciplines with more cognate specialization in such concepts. In this essay, an integrative model of communication competence is introduced, along with its theoretical background and rationale. Communication competence is defined as an impression of appropriateness and effectiveness, which is functionally related to individual motivation, knowledge, skills, and contextual facilitators and constraints. Within this conceptualization, error disclosure contexts are utilized to illustrate the heuristic value of the theory, and implications for assessment are suggested

    What is Good Communication?

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    This articles examines the question: What is good communication? The nature of good communication is both ambiguous and ambivalent. This claim can be taken as a reference to the characteristics that defame good communication, or as a reference to the state of scholarly knowledge about the concept of good communication. On its face, the statement seems clear, and yet, in claiming ambiguity and ambivalence, it is a self-fulfilling prophecy. Such are some of the subtleties of communication itself, and it is such subtleties that require a re-examination of the composition of good communication. The qualifier good suggests a nexus of ethics and pragmatic quality, and this serves as a useful starting point for embarking upon a discussion of communication competence. Communication competence is commonly defined in terms of a continuum of quality, ranging from bad to good. However, what constitutes bad and good is a considerably contested site in the field of communication and philosophy, as the question naturally suggests intersections with ethics and ideology. Any criterion upon which goodness and badness would be judged carries with it ideological implications, which in turn have implications for the scientific status of underlying theory and operationalization, as well as the practical application of any assessments derived from such a theory

    Toward Online Linguistic Surveillance of Threatening Messages

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    Threats are communicative acts, but it is not always obvious what they communicate or when they communicate imminent credible and serious risk. This paper proposes a research- and theory-based set of over 20 potential linguistic risk indicators that may discriminate credible from non-credible threats within online threat message corpora. Two prongs are proposed: (1) Using expert and layperson ratings to validate subjective scales in relation to annotated known risk messages, and (2) Using the resulting annotated corpora for automated machine learning with computational linguistic analyses to classify non-threats, false threats, and credible threats. Rating scales are proposed, existing threat corpora are identified, and some prospective computational linguistic procedures are identified. Implications for ongoing threat surveillance and its applications are explored

    Framing the Game: An Architectonic Analogue for Meta-Theorizing Academic Activities

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    A radical reformulation is proposed for explaining paradigm fragmentation. The broader topography of academic activities is conceptualized according to an academic game-theoretic analogue (GTA). According to this analogue, scholarly and academic activities reflect a competitive field of play and of plays. Criteria such as attention, compensation, awards, publications, tenure, and mobility become the scarce valued resources distributed in the game based on the plays that players enact. In an effort to reveal the heuristic potential of the theoretical analogy, these threads are traced across a broad array of humanistic and scientific theories and scholarship, including connections among Wittgenstein, Popper, Kuhn, Feyerabend, Goffman, Foucault, Bourdieu and Lyotard

    Work Characteristics Needed by Middle Managers When Leading AI-Integrated Service Teams

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    Artificial intelligence (AI) is a significant part of digital transformation that signifies new requirements for middle managers in AI-integrated work contexts. This is particularly evident in financial service industries. Given the significance and rapidity of this technological transition, this case study investigated how middle managers perceived the impacts of AI system integration on their work characteristics. Interview data were gathered from 25 middle managers of a company providing financial services. The data were analyzed using the Gioia method. The findings showed that the AI systems applied in the case company were perceived as technical tools (mechanical AI) or coworkers (thinking AI and feeling AI), which had different impacts on middle managers’ work characteristics and the relationship between humans and AI systems. The middle managers’ work characteristics included contextual, task, competence, social, and relationship characteristics. Regarding the relationship characteristics, this study shows theoretically distinct human–AI relationship types. The findings are organized into a conceptual framework. AI system integration in service teams is a complex phenomenon that makes middle managers’ work more demanding and requires balancing and managing multiple challenges and dialectical tensions. The findings inform the selection and training of managers according to changing work characteristics in the digital age.© The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).fi=vertaisarvioitu|en=peerReviewed

    Forensic Investigation of Cyberstalking Cases using Behavioural Evidence Analysis

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    Behavioural Evidence Analysis (BEA) is, in theory, useful in developing an understanding of the offender, the victim, the crime scene, and the dynamics of the crime. It can add meaning to the evidence obtained through digital forensic techniques and assist investigators with reconstruction of a crime. There is, however, little empirical research examining the application of BEA to actual criminal cases, particularly cyberstalking cases. This study addresses this gap by examining the utility of BEA for such cases in terms of understanding the behavioural and motivational dimensions of offending, and the way in which digital evidence can be interpreted. It reports on the forensic analysis of 20 cyberstalking cases investigated by Dubai Police in the last five years. Results showed that BEA helps to focus an investigation, enables better understanding and interpretation of victim and offender behaviour, and assists in inferring traits of the offender from available digital evidence. These benefits can help investigators to build a stronger case, reduce time wasted to mistakes, and to exclude suspects wrongly accused in cyberstalking cases

    The Map is Not Which Territory?: Speculating on the Geo-Spatial Diffusion of Ideas in the Arab Spring of 2011

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    The process by which social movements move through time and space can be understood as a process of innovation diffusion of memes or ideas. This process of diffusion may be traceable through computational linguistics and map geocoding of the linguistic memes employed by such movements. A Visualizing Information Space In Ontological Networks (VISION) method is described and illustrated with web-based search results of keywords relevant to Arab Spring. Using map algebra, and with the potential for using computational linguistics, the intent is to demonstrate the feasibility of both the theoretical model of diffusion, as well as the relevance of the geospatial dimension in understanding another dimension of diffusion—the meaning space of ideas as they spread through new media. Such methodology holds substantial promise for understanding the communicative dynamics of social movements and social influence
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