Previous research largely supports the notion that mediated contact and engagement with minority characters can improve viewers’ real-life minority attitudes. However, it is unclear to what extent different forms of media engagement such as parasocial friendship and wishful identification are linked to attitudes, and whether deep-level similarities affect engagement with minority characters. Deep-level similarities refer to viewers’ perception of shared personality traits, attitudes, and social experiences with characters. In a cross-sectional survey, we examine (1) to what extent parasocial friendship and wishful identification with an LGBTQ character are each associated with viewers’ prejudicial attitudes toward the LGBTQ community, and (2) to what extent perceived deep-level similarities of an LGBTQ character are related to viewers’ parasocial friendship and wishful identification felt for the LGBTQ character. Based on a structural equation model using a sample of U.S. residents (n = 247), it may be concluded that the deep-level similarities of LGBTQ characters have both direct and indirect associations with LGTBQ prejudice, mediated by wishful identification.
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Innovation is crucial for higher education to ensure high-quality curricula that address the changing needs of students, labor markets, and society as a whole. Substantial amounts of resources and enthusiasm are devoted to innovations, but often they do not yield the desired changes. This may be due to unworkable goals, too much complexity, and a lack of resources to institutionalize the innovation. In many cases, innovations end up being less sustainable than expected or hoped for. In the long term, the disappointing revenues of innovations hamper the ability of higher education to remain future proof. Against the background of this need to increase the success of educational innovations, our colleague Klaartje van Genugten has explored the literature on innovations to reveal mechanisms that contribute to the sustainability of innovations. Her findings are synthesized in this report. They are particularly meaningful for directors of education programs, curriculum committees, educational consultants, and policy makers, who are generally in charge of defining the scope and set up of innovations. Her report offers a comprehensive view and provides food for thought on how we can strive for future-proof and sustainable innovations. I therefore recommend reading this report.
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Internationalizing curricula. Needs and wishes of alumni and employers with regard to international competencies. Internationalization has become of great importance for universities acrossthe globe. The labour market is becoming international, with internationalopportunities and international competition. Emerging markets such as India, China and Russia are gaining economic power. Global challenges demand world-wide solutions. Production and marketing networks span the globe and various forms of migration have resulted in a large cultural diversity within nations. As a result, societies and labour markets are changing as well. In order to deal with these societal changes adequately and to succeed in today’s labour market, graduates need to be equipped with international competencies. In a survey among 500 chief executives, ICM Research (on behalf of Think Global and The British Council, 2011) showed that employers strongly value staff members who are able to work in an international and multicultural environment. Similar results were found in Diamond et al. (2011), in which ‘multicultural teamwork’ was considered most important. The Hague University of Applied Sciences seeks to prepare its students adequately for the world of tomorrow. The University’s development plans (e.g. HogeschoolOntwikkelingsPlan, HOP 7, 2009-2013 and HOP 8, 2014-2017) indicate that its vision is to train students to be globally-minded professionals with an international and multicultural perspective, who are world-citizens, interested in global issues and able to deal with diversity in a constructive manner. They are to be professionals, who possess the competencies to function well in an international and intercultural environment. Internationalization is therefore high on the agenda of The Hague University of Applied Sciences (THUAS) which is illustrated by the fact that, as of 2014, new students in all academies have to fill 12.5% (30 ECTS) of their four-year Bachelor program with international activities. These activities can range from an internship or semester abroad (student mobility) to participating in full programs of study or minors in which English is the medium of instruction, or an internationally themed minor (Internationalization at Home, IaH). And this is only the beginning. Internationalization is a means, not an end. All THUAS courses are looking into ways in which they can internationalize their curriculum. And in doing so, they need to be innovative (Leask, 2009) and keep in mind the specific needs and wishes of alumni and their employers with regard to international competences. The THUAS research group International Cooperation supports these internationalization policy objectives by investigating various aspects, such as: • The acquisition and development of international competencies among students. • The extent to which lecturers possess international competencies and what their needs and wishes are for further development. • The international competencies THUAS graduates have acquired as part of their degree and how THUAS has stimulated this development. • The international competencies that employers and alumni consider important. Although international competencies and employability have received growing attention in internationalization research, existing studies have mainly focused on: • The effects of study abroad on the development of international competence (cf. Hoven & Walenkamp, 2013). • The effects of an experience abroad (study, internship, voluntary work) on employability. • A more general analysis of the skills employers look for in prospective employees.
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To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes the interactions between key entities that lead to the adverse outcome on multiple biological levels of organization. The construction or optimization of an AOP is a labor intensive process, which currently depends on the manual search, collection, reviewing and synthesis of available scientific literature. This process could however be largely facilitated using Natural Language Processing (NLP) to extract information contained in scientific literature in a systematic, objective, and rapid manner that would lead to greater accuracy and reproducibility. This would support researchers to invest their expertise in the substantive assessment of the AOPs by replacing the time spent on evidence gathering by a critical review of the data extracted by NLP. As case examples, we selected two frequent adversities observed in the liver: namely, cholestasis and steatosis denoting accumulation of bile and lipid, respectively. We used deep learning language models to recognize entities of interest in text and establish causal relationships between them. We demonstrate how an NLP pipeline combining Named Entity Recognition and a simple rules-based relationship extraction model helps screen compounds related to liver adversities in the literature, but also extract mechanistic information for how such adversities develop, from the molecular to the organismal level. Finally, we provide some perspectives opened by the recent progress in Large Language Models and how these could be used in the future. We propose this work brings two main contributions: 1) a proof-of-concept that NLP can support the extraction of information from text for modern toxicology and 2) a template open-source model for recognition of toxicological entities and extraction of their relationships. All resources are openly accessible via GitHub (https://github.com/ontox-project/en-tox).
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Anthropology is traditionally broken into several subfields, physical/biological anthropology, social/cultural anthropology, linguistic anthropology, archaeology, and sometimes also applied anthropology. Anthropology of the environment, or environmental anthropology, is a specialization within the field of anthropology that studies current and historic human-environment interactions. Although the terms environmental anthropology and ecological anthropology are often used interchangeably, environmental anthropology is considered by some to be the applied dimension of ecological anthropology, which encompasses the broad topics of primate ecology, paleoecology, cultural ecology, ethnoecology, historical ecology, political ecology, spiritual ecology, and human behavioral and evolutionary ecology. However, according to Townsend (2009: 104), “ecological anthropology will refer to one particular type of research in environmental anthropology—field studies that describe a single ecosystem including a human population and frequently deal with a small population of only a few hundred people such as a village or neighborhood.” Kottak states that the new ecological anthropology mirrors more general changes in the discipline: the shift from research focusing on a single community or unique culture “to recognizing pervasive linkages and concomitant flows of people, technology, images, and information, and to acknowledging the impact of differential power and status in the postmodern world on local entities. In the new ecological anthropology, everything is on a larger scale” (Kottak 1999:25). Environmental anthropology, like all other anthropological subdisciplines, addresses both the similarities and differences between human cultures; but unlike other subdisciplines (or more in line with applied anthropology), it has an end goal—it seeks to find solutions to environmental damage. While in our first volume (Shoreman-Ouimet and Kopnina 2011) we criticized Kottak’s anthropocentric bias prioritizing environmental anthropology's role as a supporter of primarily people's (and particularly indigenous) interests rather than ecological evidence. In his newer 2 publication, Kottak (2010:579) states: “Today’s ecological anthropology, aka environmental anthropology, attempts not only to understand but also to find solutions to environmental problems.” And because this is a global cause with all cultures, peoples, creeds, and nationalities at stake, the contributors to this volume demonstrate that the future of environmental anthropology may be more focused on finding the universals that underlie human differences and understanding how these universals can best be put to use to end environmental damage. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in "Environmental Anthropology: Future Directions" on 7/18/13 available online: https://doi.org/10.4324/9780203403341 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Current understandings of similarity with media characters often focus on visible attributes including gender and race, yet overlook deep-level characteristics such as personality, attitudes, and experiences. In the present research, we address this limitation and develop and validate the Character Recognizability Scale (CRS), which captures different ways in which audiences can recognize themselves in characters. Based on a previous interview study, we formulated 26 scale items. Subsequently, we conducted two studies. In Study 1, we used a sample of 219 university students in the Netherlands to conduct an exploratory factor analysis. We determined the reliability, as well as criterion and convergent validity of the entire scale and the retained factors. In Study 2, we used a sample of 247 respondents in the United States to conduct a confirmatory factor analysis and replicate the results of the reliability and validity analyses. Based on Study 1, we kept 20 items. In both studies, the overall CRS scale as well as its subscales for Personality Recognizability (CRS-p), Attitudinal Recognizability (CRS-a), and Experiential Recognizability (CRS-e) showed a good internal consistency. They also showed criterion validity through an association with perceived similarity. Finally, the CRS and its subscales correlated positively with media engagement and exposure measures, thus demonstrating convergent validity.
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Our society faces many challenges, necessitating collaborative efforts among multiple stakeholders. Our students learn this in living labs. This paper explores preliminary research on introducing co-design to novices. We introduce a case study exploring how design educators can support students in developing co-design competencies. Central to this study is our Co-Design Canvas, introduced as a pivotal tool for fostering open dialogue among diverse stakeholders. This stimulates collaboration through effective teamwork and empathic formation. The research questions aim to discover effective methods for introducing the Co-Design Canvas to living lab students, and to identify the necessary prior knowledge and expertise for both novices and educators to effectively engage with and teach the Co-Design Canvas. The paper advocates for a pedagogical shift to effectively engage students in multi-stakeholder challenges. Through a series of workshops, the Co-Design Canvas was introduced to novices. We found that this required a significant cognitive stretch for staff and students. The paper concludes by presenting a, for now, final workshop format consisting of assignments that supports introducing the Canvas and thereby co design to societal impact design novices. This program better prepares students and coaches for multi stakeholder challenges within living labs.
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The impact communities of practice (CoPs) make can be understood in several different ways, depending on which theoretical perspective is used. For example, CoPs have been studied from a learning-theory perspective, from organizational development theory, and from a small-group theory. To understand the effects of participating in a CoP on individuals, groups or the organization in which they function, we could use traditional learning theory, organizational learning theory, information-processing theory or small-group process theory, etc. Or we could look at the internal processes of CoPs; the output they generate, or employ a synthesized view. CoPs can also be seen as impacting different actors in the organization in which they operate; individuals, groups or the whole organization. This means, for example, that we could look at CoPs from an organizational learning perspective to see how CoPs impact strategy development or renewal. At the level of the group, we could look at how CoPs lead to increased group performance and how that in turn leads to a higher output of knowledge products. And as learning is one of the key processes in a CoP, an important aspect of we need to study is how the individual learns, as well as what the individual learns. The complexity of impact a CoP can have on the diverse actors requires a pluralistic and multiperspective approach. However, a review of the literature showed no comprehensive model that neither integrates these different levels of impact nor employs multiple theoretical perspectives. Furthermore, most models of measurement or assessment use traditional types of output measurement, such as ROI, or anecdotal evidence that the CoP has improved organizational capability. Much like any human resource development initiative – which is the perspective of CoPs we take in this paper – there has been no real attempt to develop measures for assessing impact. We try to fill this gap by presenting a comprehensive, multidisciplinary, conceptual model that approaches measuring certain aspects a CoP has on individuals, groups and organizations.
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Many transitions scholars underscore the importance of learning in sustainability transitions, but the associated learning processes have hardly been conceptualised. The diverse, well-established research fields related to learning are broadly ignored or loosely applied. In this paper, we systematically explore four interesting learning traditions in terms of their value for gaining an in-depth understanding of learning in sustainability transitions and their relevance for fostering learning, by connecting them to key features of transitions. The selected learning traditions from different disciplinary backgrounds provide valuable insights. None of them sufficiently addresses the complexity of transitions. They include, however, a diversity of relevant learning contexts. We conclude that they have value for investigating new areas such as learning in socio-technological regimes and in later phases of a transition, while enlightening forms of learning that have not yet been fully recognised in transition studies, such as superficial learning, unlearning, and learning to resist change.
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ABSTRACT Purpose: This short paper describes the dashboard design process for online hate speech monitoring for multiple languages and platforms. Methodology/approach: A case study approach was adopted in which the authors followed a research & development project for a multilingual and multiplatform online dashboard monitoring online hate speech. The case under study is the project for the European Observatory of Online Hate (EOOH). Results: We outline the process taken for design and prototype development for which a design thinking approach was followed, including multiple potential user groups of the dashboard. The paper presents this process's outcome and the dashboard's initial use. The identified issues, such as obfuscation of the context or identity of user accounts of social media posts limiting the dashboard's usability while providing a trade-off in privacy protection, may contribute to the discourse on privacy and data protection in (big data) social media analysis for practitioners. Research limitations/implications: The results are from a single case study. Still, they may be relevant for other online hate speech detection and monitoring projects involving big data analysis and human annotation. Practical implications: The study emphasises the need to involve diverse user groups and a multidisciplinary team in developing a dashboard for online hate speech. The context in which potential online hate is disseminated and the network of accounts distributing or interacting with that hate speech seems relevant for analysis by a part of the user groups of the dashboard. International Information Management Association
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