Pasca, Paola and Ciavolino, Enrico and Boyd, Ryan (2018) A data-mining approach to the Parkour discipline. In: 49th Scientific meeting of the Italian Statistical Society : Proceedings of SIS2018. UNSPECIFIED, pp. 665-672.
Full text not available from this repository.Abstract
Parkour is a relatively new discipline. As an uncommon nexus between risk, resistance, and the philosophy of overcoming obstacles, it is continuously gaining interest and popularity. However, the “voice” of parkour practitioners has been explored only qualitatively, on small samples and from a phenomenological point of view. In this work, raw data from the official American Parkour forum (from 2005 to 2013) have been web-scraped and treated with the Meaning Extraction Method (MEM), a simple and flexible technique providing optimal dimension reduction and the identification of broader themes related to the parkour discipline, thus providing a broader vision of a phenomena which is configuring itself as a true life-style.