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Abstract Details

Abstract Title

Identification and Sport Talent Development Policies in Brazil

Abstract Theme

Governance and policy

Type Presentation


Abstract Authors

Presenter Luciana Perez Bojikian - Paulista University (Health Science Institute) - BR
Maria Tereza Silveira Böhme - University of São Paulo (Sport) - BR

Presentation Details

Poster Exhibition Site (Local): Blue - 1        Date: 2 September        Time: 8am to 7pm        Presenter: Luciana Bojikian

Abstract Resume

Background: Despite the importance of this issue, in Brazil there is no systemized information obtained through scientific research on sports in general and high yield. Therefore,
based on SPLISS international model (De Bosscher et al, 2010), a national survey was applied leveraging a diagnosis of Critical Success Factors (CSF) of the nine pillars of the SPLISS model. In this
study, the results obtained are with respect to the pillar 4 - Identification and Development of sport talent. The first indicator in pillar 4 refers to the Talent Identification, and the four others
refer to the Talent Development.

Methods: We interviewed state and municipal managers of the five Brazilian regions, with respect to the governmental structures of Sport and Education (role of the state and the
municipality). The study included the states that had the highest number of top athletes and their capitals. Scores were assigned ranging from 0.20 to 1.00 according to the presence of CFS.
International standards related to the research were carefully observed.

Results: At the state level were included five indicators of Pillar 4 and only 13 of the 22 CFS, because answers were not obtained to 9 CFS. SP was the state with the best result
(0.52), followed by SC and PE (0.50), RS (0.46), PR, DF and MG (0.40), RJ (0.38) and BA (0.33). The average score for Pillar 4 was 0.43. For the municipalities surveyed, in 22 CFS only 5 FCS were
considered in the calculation of the scores. The municipalities that met the stipulated criteria were: São Paulo, Rio de Janeiro, Porto Alegre, Salvador and Manaus. For lack of answers to questions
made, it was not possible to calculate the scores for municipalities: Recife, Florianopolis, Curitiba and Belo Horizonte. In the final statement of scores, São Paulo showed the best result, with a
score of 0.56, followed by Manaus (0.24) and Porto Alegre, Salvador and Rio de Janeiro (0.20).

Conclusions: The initiatives to identify and develop talent in the cities are very few or non-existent and below average (0.29). The city of São Paulo showed better scores than others
due the fact that it has the structure of the Olympic Training Center and Research (COTP), which is the equipment of the Department of Sports, Leisure and Recreation (SEME) geared to high performance
sport. In the other municipal equipment is practiced sport participation. Pillar 4 proved undeveloped in the states and municipalities surveyed. Among the difficulties in creating and implementing
national and state policies regarding the identification and development of sporting talent, is the large country’s territory and the enormous economic and cultural diversity within the cities
themselves. In the few existing programs, priority investment falls within high-performance athletes, a fully sighted vision of competitive return.

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