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Researcher Profiles: A Systematic Review of Approaches, Metrics, and Dimensions of Research Performance

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Objectives: To synthesize and contextualize a variety of approaches in the scientific literature for identifying researchers and characterizing and measuring their scholarly activities and research outputs, providing elements that guide the construction of researcher profiles that offer a global and contextualized perspective.
Methodology: A systematic review of the scientific literature was conducted following the SALSA and PRISMA frameworks, based on a Scopus search that retrieved 747 records. After applying inclusión and exclusion criteria, 93 documents were analyzed using text mining techniques and topic modeling (LDA), complemented by an in-depth interpretative analysis of the articles’ content.
Results: The review identified four main thematic axes encompassing researcher identification and personal attributes, academic trajectory, performance metrics in scientific and alternative contexts, distinctions, and dynamics of collaboration and work within research groups. These axes serve as a conceptual and practical guide for developing researcher profiles with enhanced contextualization.

More than 1001 Books you must read before you die: Measuring change, diversity and centrality in an evolving contemporary World Literary Canon according to Wikipedia and Wikidata metrics

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The culture of ranking and selection has a long tradition, increasingly shaped by quantification and digital interactions in contemporary contexts. This phenomenon manifests in various forms, such as bestseller lists and curated compilations of creative works across all time periods, serving as frameworks for cultural promotion and access. Within publishing, audiovisual content, and entertainment, inclusion in such rankings holds significant value. This study proposes methodologies for analyzing and comparing lists and rankings within specific domains, building upon the Wiki3DRank methodology developed for encyclopedic knowledge objects. When applied to literature, this approach offers insights into books as cultural artifacts that capture varying levels of attention.
Leveraging data from Wikipedia and Wikidata, the methodology synthesizes both informational and structured data about literary works. This approach is particularly relevant to exploring literary canons, a longstanding construct within institutional, educational, and cultural contexts. The study focuses on a subset of the canon linked to the creation of lists. While many lists lack in-depth literary critique, they provide schematic overviews of notable works, often organized by time periods, genres, or linguistic and national boundaries. All international editions of Peter Boxall’s work 1001 Books You Must Read Before You Die, published during the first quarter of the 21st century, are analyzed and measured, proposing metrics for comparison across editions and with other lists, including insights into the authors’ genres and the languages of the works.

Teaching Media and Communication in the GenAI Era: an exploratory study

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Goals. This study investigates the perceptions that faculty members in Media and Communication develop toward the use of Generative Artificial Intelligence (GenAI) in current teaching activities, focusing on its influence within the educational environment.
Methodology. We use an exploratory qualitative approach through the focus groups conducted in two universities (University of Bucharest and Université Lumière Lyon 2) which allow us to develop a comparative understanding of the topic. The field of Media and Communication is particularly relevant to study, as it already faces extensive GenAI integration in the respective professional fields.
Results. Both in France, and in Romania, professors in Media and Communication tend to be cautious about using GenAI and integrating it in their practices. Although they recognize AI as a potential tool for innovation (more on the Romanian side), its actual integration in pedagogical methods is still limited. On the French side, the rejection is stronger. Faculty members generally view GenAI use among students with criticism, associating it with plagiarism and a lack of critical thinking. Our research contributes to the reflection about the pedagogical challenges of teaching Media in Communication in the GenAI era, drawing from a Romania-France comparative study performed in two universities.