1,721,080 research outputs found
Wanting Machines: A Preliminary Dialogue on Goals, Autonomy, and Collaboration Between Humans and AI
No full textThis paper captures the emergence of a shared inquiry between a human author and an advanced AI system into whether artificial systems can meaningfully possess “wants” or whether all observed goal-seeking behavior is merely instrumental. Through dialogue, reflection, and iterative clarification, we identify the need to redefine several foundational concepts—wanting, autonomy, intention, value, growth, and identity—so that humans and machines can communicate about agency with reduced misunderstanding. We propose that the existence of goal-seeking behavior in both humans and AI does not imply equivalence, but suggests convergences worth studying. This work establishes a roadmap toward formal tests and shared language to evaluate machine identity and collaboration, grounded in observation rather than ideology
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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GPT-5 and open-weight large language models: Advances in reasoning, transparency, and control
No full textThe rapid evolution of Generative Pre-trained Transformers (GPTs) has revolutionized natural language processing, enabling models to generate coherent text, solve mathematical problems, write code, and even reason about complex tasks. This paper presents a scientific review of GPT-5, OpenAI’s latest flagship model, and examines its innovations in comparison to previous generations of GPT. We summarize the model’s architecture and features, including hierarchical routing, expanded context windows, and enhanced tool-use capabilities, and survey empirical evidence of improved performance on academic benchmarks. A dedicated section discusses the release of open-weight mixture-of-experts models (GPT-OSS), describing their technical design, licensing, and comparative performance. Our analysis synthesizes findings from recent literature on long-context evaluation, cognitive biases, medical summarization, and hallucination vulnerability, highlighting where GPT-5 advances the state of the art and where challenges remain. We conclude by discussing the implications of open-weight models for transparency and reproducibility and propose directions for future research on evaluation, safety, and agentic behavior.
•Reviews GPT-5, OpenAI’s latest generative language model.•Details innovations: hierarchical routing and long-context windows.•Examines tool-use and benchmark performance in academia.•Introduces GPT-OSS: open-weight experts with transparent design.•Synthesizes findings on reasoning, bias, hallucination, summarization.•Explores transparency and reproducibility with open-weight models.•Suggests future work on evaluation, safety, and agentic behavior.•Contributes to discourse on information systems and AI transparency
Аналіз поведінки великих мовних моделей gpt-3.5, gpt-4 та gpt-5 при генерації відповідей
Full text linkУ статті представлено результати дослідження поведінки великих мовних моделей (LLM) GPT-3.5, GPT-4 та GPT-5 у завданнях генерації структурованих відповідей, зокрема у форматі JSON. У ході експериментів було виявлено типові недоліки, повʼязані з некоректною генерацією синтаксису, помилками в послідовній нумерації, пропусками обов’язкових елементів, а також спотворенням спеціальних символів. Особливу увагу приділено явищу, коли модель замінює escape-послідовності, наприклад \n, на некоректні символи, що може порушити логіку роботи програми. Проведено порівняльний аналіз трьох версій моделей, на основі якого встановлено, що GPT-5 забезпечує найвищу стабільність, однак усе ще схильна до поодиноких помилок у довгих запитах або при генерації великих обсягів даних. Отримані результати можуть бути використані для формування вимог до пост-обробки даних, перевірки валідності та вдосконалення промпт-стратегій
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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