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Dark-skinned pioneers in European national football teams: patterns and stories

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ABSTRACT A national football team is perceived as symbol of the national identity. One of the elements of European national identity is race. At the beginning of twentieth century on the Old Continent, most of the state teams’ players were light-skinned, likewise the other citizens of their countries. Nevertheless, since the 1930s it has been observing the growing process of appearance of dark-skinned players in subsequent national football teams. The paper explores the emergence of the dark-skinned football players in European national teams (UEFA members). It considers all the 39 cases of the dark-skinned pioneers in European national teams – from Andrew Watson (Scotland, debut in national team in 1881) to Ariclenes da Silva Ferreira ‘Ari’ (Russia, debut in 2018). Based on them, the text distinguishes the seven waves of this interracial transnationalism.

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  • Research Article
  • Cite Count Icon 9
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Football spectators (N=760) at two local and two international matches were surveyed with the aim of investigating how identity is created and sustained in relation to top-level sport in general, and local and national football teams in particular. Two-way between-groups analyses of variance were applied, and effect sizes calculated. There was a statistically significant main effect for gender, showing that male spectators identify more strongly with their favourite team than female spectators. The findings also include an interaction effect between gender and level of matches, indicating different effects on male and female spectators. Male spectators identify more strongly with the national team than the local team, whereas female spectators identify more strongly with the local team. Strong identification with the national team goes together with more positive attitudes towards the nation. The results are analysed within the theoretical framework of social identity theory (SIT) and self-categorization theory (SCT). Team identification is context-dependent and partly explained with reference to the principle of meta-contrast implied in SCT. Positive attitudes towards the nation are interpreted as beneficial from a nation-building point of view, but have possible negative consequences concerning the evaluation of social groups not included in the in-group.

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Analisis Pemanfatan Pemodelan Data Mining untuk Pola Permainan Timnas Sepakbola
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Football is a sport that has a very complex variety of tactics, strategies and formations. In this study, the researcher observed and studied the game patterns, tactics and game strategies applied by the Indonesian men's national football team. The methods used are the FP-Tree algorithm and FP-Growth Data Mining to learn the tactical patterns used in the match. Data is collected from a variety of secondary sources, the internet, and match recordings. The purpose of the research is to model the national team's game activities to be simulated with a data mining algorithm, so that competitive game level standards are obtained from national teams that are able to compete at the Asian level. This can be the standard for the quality of performance and coaches of the national team in the next era. The result obtained is that the data mining algorithm can be used to analyze the game pattern of a football team

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