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Fifa World Cup Qatar 2022: análise do megaevento como estratégia de mudança da imagem do destino turístico
(Universidade Federal de São Carlos, 2025-02-05) Lima, Geisa Caroline Santana; Somaschini, Maria Helena Matttos Barbosa dos Santos; https://lattes.cnpq.br/3419477918842537; https://lattes.cnpq.br/9606817943441262
The practice of producing images of tourist destinations, in the context of mega sporting events, with the aim of increasing the international prestige of nation-states, has been recurrent since 1934, the year in which Italy, under the management of Benito Mussolini, hosted the FIFA World Cup. The political instrumentalization of major sporting events has been, since 2010, investigated under the name “sportswashing”, with the purpose of identifying and analyzing the tools used in attempts to “wash” a country’s reputation, through the mobilization of sporting appeal - via the holding of mega sporting events - and sponsorship or investment in major football clubs. Actions characterized as “sportswashing” are intended to create a façade image that, for example, in the case of Eastern countries, allows them to be promoted as a modern, liberal and Western friendly country (Martínez, 2018 apud Soyland, 2020, p. 57). The FIFA World Cup Qatar 2022 constitutes a recent experience of this practice and, with the prospect of contributing to the set of studies aimed at evaluating the perception of tourists in relation to the image of tourist destinations (Kaplanidou et al., 2016; Evers; Pineda, 2023), this research will seek to analyze the way in which Brazilian tourists perceive Qatar's tourist image, verifying the impacts and effectiveness of the country's image cleaning strategy, through the holding of a mega sporting event - FIFA World Cup Qatar 2022 - in the image perceived by these tourists. For this purpose, the image of Qatar was analyzed based on the General Model of Images in Tourism (Santana Talavera; Pinto, J. 2008 apud Pinto, R., 2012, p.567), in order to understand how the country's images were formed, following each of the seven stages of the model, and the interference they have on each other. This is an interdisciplinary research with a qualitative approach, of an exploratory and descriptive nature, with collection and analysis of primary and secondary data using bibliographical, documentary and interview research techniques, which will be carried out with a sample of approximately 0.5 % of Brazilians who participated in the mega sporting event in Qatar, in 2022. The question guide for conducting the interviews will consider, above all, the contributions of the Semiological Model, developed by MacCannel (1976 apud Pinto, 2012, p.554) and the Model Three-dimensional, presented by Echtner and Ritchie (1993 apud Pinto, 2012, p.562). The analyzes of the data collected in the interviews were carried out using the content analysis technique (Bardin, 1977). The results obtained from the research show that hosting mega-sporting events in countries with a negative or resistant image for tourism, as is the case with the country analyzed, allows tourists to visit a place they never imagined they would be, due to factors such as fear. This experience can lead, depending on their personal experiences, to more positive perceptions of the location, due to the meaning attached to the competition and the tangible and intangible changes it brings to the country.
A música performando a narrativa de "Inferninho"
(Universidade Federal de São Carlos, 2025-02-05) Holanda, Caio Cardoso; Miranda, Suzana Reck; https://lattes.cnpq.br/8566012598222563; https://orcid.org/0000-0003-4781-6165; https://lattes.cnpq.br/7874027255999985; https://orcid.org/0009-0003-3896-872X; Brandão, Alessandra Soares; Almeida, Gabriela Ramos de; https://lattes.cnpq.br/2403390115972345; https://lattes.cnpq.br/7975111935945848; https://orcid.org/0000-0002-7829-2256; https://orcid.org/0000-0001-8676-7621
Ceará cinema is musically rich and often it's stories are touched by what the characters listen to and sing. In Inferninho (2018), by Guto Parente and Pedro Diógenes, musical performances are crucial to demarcate affections, positions and move the events of the plot. The story almost entirely happens in a bar with live music and explores a special and dreamlike universe. This research will analyze the ways in which the musical soundtrack adheres to the narrative of Inferninho, mainly through the songs performed by Luizianne (Samya De Lavor), which are mostly from forró, but sung in different versions and in several languages. The selection of the songs was made by the Ceará native Rita de Cássia, popularly known as "the greatest forró composer" in the country. Her songs and those of other exponents of the state populate the soundtrack, marking the strength of a specific cultural scene in recent film productions in the region. Sequences considered central will be meticulously analyzed in view of the central hypothesis of the research: that musical moments articulate in a very peculiar and creative way certain narrative axes through the relationship between popular musical genres and the bodies on stage.
Ciência e a Ciência Paralela: Uma disputa do campo científico
(Universidade Federal de São Carlos, 2025-02-05) Silva, Gabriel Moutinho Fernandes; Andrade, Thales Haddad Novaes de; https://lattes.cnpq.br/5882842888759363; https://orcid.org/0000-0002-4000-3527; https://lattes.cnpq.br/3711848513888803
The monograph in question aims to present a case study about the recent production made by the production company Brasil Paralelo, entitled Unitopia, which produces a critique of Science and the production of scientific knowledge itself. To this end, we analyzed the two episodes of the documentary and an e-book material, with the objective of analyzing some aspects of the narrative produced, namely, the dispute of symbolic capital in which the documentary analyzes universities, since the members are part of the scientific field. In our objectives, we aim to answer our research questions: (1) Why position oneself in the Academy, even while rejecting it? and (2) What is the interest in using trivialization as a positioning tool? Aiming to highlight our hypothesis that Brasil Paralelo, as a group, seeks with its productions, in this work focusing our attention on UNITOPIA, a space for positioning within the academic world, seeking for this purpose groups with less power and that, in order to be seen, trivialize the knowledge of those who judge their adversaries. To this end, we used Pierre Bourdieu's writings and analyses on the scientific field as methodological material, enabling us to understand the positions taken by members of science. We also highlight the construction of science and its rules and structures with Robert K. Merton's notion of scientific ethos; and the analysis of the Strong program in Sociology of Knowledge, by David Bloor. We also highlight the conservative theories of James Durham and Mark R. Levin, who, even though they wrote at different times, have a vision similar to that of the narrative presented in Unitopia.
Comportamento do Bitcoin em relação ao ouro e ao índice Nasdaq: Uma análise entre 2015 e 2024
(Universidade Federal de São Carlos, 2025-02-05) Balsan, Enrico Fernandes; Carrara, Aniela Fagundes; https://lattes.cnpq.br/2348376949393246; https://orcid.org/0000-0002-3131-2344
Since Bitcoin's emergence in 2008, its trajectory has been marked by a rapid rise, capturing the attention of investors, technology enthusiasts and even skeptics. While some see Bitcoin as a modern store of value, capable of protecting against inflation and economic uncertainties, others see it as a revolutionary asset, full of potential to generate significant returns in the short and medium term. But after all, does Bitcoin behave like a "digital gold" or like a high-risk asset, highly sensitive to fluctuations in the technology market? This study seeks to analyze this duality, investigating whether Bitcoin, despite its initial proposal of being a scarce and decentralized currency, is more similar to a safe asset, such as gold, or a volatile asset, such as the technology stocks on the Nasdaq index. For this, the period from January 2015 to January 2024 was considered, which includes moments of stability as well as turbulent scenarios, such as the Covid-19 pandemic and its global developments. Through a combination of literature review, descriptive statistics, time series decomposition and stationarity tests, the study revealed that Bitcoin, although it was conceived as a currency with store of value characteristics, presents a behavior more aligned with that of a high-risk asset. Its volatility exceeds even that of the Nasdaq index, consolidating its image as a disruptive but also unpredictable asset.
Estudo comparativo de modelos de Machine learning na predição de um behaviour score
(Universidade Federal de São Carlos, 2025-02-05) Freitas, Fernanda Waltrs; Izbicki, Rafael; https://lattes.cnpq.br/9991192137633896
Credit Risk Modeling is an essential technique for financial institutions in making intelligent analytical decisions, such as granting credit, financing, or loans. These institutions aim to accurately identify individuals likely to meet their obligations on time by estimating the probability of customers being compliant or delinquent.This study aims to develop a Behaviour Score used by companies to assign scores to their customers based on their transactional behavior history, using a dataset with more than 400,000 customers and over 200 covariates.To achieve this, we analyzed the dataset and trained four machine learning models, ranging from traditional methods such as Penalized Logistic Regression (Oliveira et al., 2012) and Random Forest (Breiman, 2001) to more recent approaches like eXtreme Gradient Boosting (XGBoost) (Friedman, 2001; Chen & Guestrin, 2016) and Light Gradient Boosting Machine (LightGBM) (Ke et al., 2017). When comparing the models on the test sample, we found that, in general, all models effectively distinguish between the response variable classes. However, the model that achieved the best predictive performance was XGBoost, with an area under the ROC curve of 82.03%, a Gini coefficient of 64.06%, and a KS statistic of 47.97%, among other performance metrics. On the other hand, the model with the lowest predictive performance was Penalized Logistic Regression, which obtained an area under the ROC curve of 78.46%, a Gini coefficient of 56.92%, and a KS statistic of 42.73%, among other measures. Additionally, it had the longest training time compared to the other models.
A busca e avaliação de informações digitais sobre jiu-jitsu: contribuições da Ciência da Informação
(Universidade Federal de São Carlos, 2025-02-05) Brito, Rayane Moraes de; Furnival, Ariadne Chloe Mary; https://lattes.cnpq.br/1291482506649810; https://lattes.cnpq.br/0286450084380723
ABSTRACT The growing popularity of Brazilian jiu-jitsu in the digital environment highlights the need for more critical and informed informational practices. This study aimed to analyze the reliability of digital sources related to Brazilian jiu-jitsu, based on the IFLA infographic “How to Spot Fake News” adapted to the sports context. The specific objectives included: surveying and analyzing digital sources on the subject, validating evaluation criteria, and developing an adapted infographic for practitioners. Methodologically, the research followed a qualitative and exploratory approach, employing document analysis and self-testing as primary strategies. Data were collected from specialized websites such as Gracie Magazine, Revista Tatame, and BJJ Heroes. Results revealed significant challenges, such as the absence of explicit authorship and lack of information validation. However, the adapted infographic proved to be an effective tool for empowering practitioners to critically evaluate available information, contributing to the strengthening of informational literacy and the preservation of informed sports practices. The study underscores the importance of Information Science in interdisciplinary contexts, such as sports, and paves the way for future research in other disciplines.
Análise da rentabilidade de investimentos em ofertas públicas iniciais de ações entre 2004 a 2023 no Brasil: uma abordagem estatística
(Universidade Federal de São Carlos, 2025-02-05) Graça, Luiza Neves; Dias, Teresa Cristina Martins; https://lattes.cnpq.br/0187724276640668; https://lattes.cnpq.br/0507961689464287
Within a country's financial system, the stock market serves as a crucial mechanism for allocating resources between companies and investors. Companies initially access this market by conducting an initial public offering (IPO), and in return, investors benefit from potential profits and the possible appreciation of the asset in the secondary market. Based on this, our motivation in this study is to investigate, using real data from the Brazilian stock market from 2004 to 2023, the performance of IPO investments compared to the overall stock market returns, represented by the Ibovespa, over a two-year observation period. To achieve this objective, we employed nonparametric tests to compare the median return of IPOs relative to the market, as well as survival analysis methods—such as the Cox model and the Prentice, Williams, and Peterson (PWP) model—to examine the time until significant devaluations of these investments in relation to different explanatory variables. The findings indicate that, in the short term, IPO investments tend to outperform the market, reflecting a well-documented phenomenon known as underpricing. However, over longer periods, returns become negative and exhibit a declining trend. Regarding this latter phenomenon, the adjusted survival models suggest that larger devaluations tend to be associated with offerings made during periods in which the market is heated and with companies that performed poorly from the very first day.