2026-06-17T16:51:23Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/50022024-05-20T07:08:25Zcom_10259_3830com_10259_5086com_10259_2604col_10259_3832

Briz i Godino, Ivan Ahedo García, Virginia Álvarez, Myrian Pal, Nélida . Turnes, Lucas . Santos Martín, José Ignacio Zurro, Débora Caro Saiz, Jorge Galán Ordax, José Manuel 2018-11-09T10:04:08Z 2018-11-09T10:04:08Z 2018-10 2054-5703 http://hdl.handle.net/10259/5002 10.1098/rsos.180906 The present work aims to quantitatively explore and understand the relationship between mobility types (nautical versus pedestrian), specific technological traits and shared technological knowledge in pedestrian hunter–gatherer and nautical hunter–fisher–gatherer societies from the southernmost portion of South America. To that end, advanced statistical learning techniques are used: state-of-the-art classification algorithms and variable importance analyses. Results show a strong relationship between technological knowledge, traits and mobility types. Occupations can be accurately classified into nautical and pedestrian due to the existence of a non-trivial pattern between mobility and a relatively small fraction of variables from some specific technological categories. Cases where the best-fitted classification algorithm fails to generalize are found significantly interesting. These instances can unveil lack of information, not enough entries in the training set, singular features or ambiguity, the latter case being a possible indicator of the interaction between nautical and pedestrian societies. HAR-2009-06996, CSD2010-00034, HAR2017- 90883-REDC, CULM-HAR2016-77672-P (Ministerio de Ciencia e Innovacio´n de Espan˜ a); PIP-0706, PIP-0348 (Consejo Nacional de Investigaciones Cientı´ficas y Tecnolo´gicas-Argentina) and PICT 2012-2148 (Ministerio de Ciencia, Tecnologı´a e Innovacio´n Productiva de la Repu´ blica Argentina); PROC/12-120610-A (SESAR WPE Long Term and Innovative Research-European Commission); and Project GR-7846 (Wenner-Gren Foundation for Anthropological Research) application/pdf eng The Royal Society Royal Society Open Science. 2018, V. 5, n. 10, 180906 http://dx.doi.org/10.1098/rsos.180906 info:eu-repo/grantAgreement/MICINN/HAR-2009-06996 info:eu-repo/grantAgreement/MICINN/CSD2010-00034 info:eu-repo/grantAgreement/MICINN/HAR2017- 90883-REDC info:eu-repo/grantAgreement/MICINN/CULM-HAR2016-77672-P info:eu-repo/grantAgreement/Consejo Nacional de Investigaciones Científicas y Tecnológicas/PIP-0706 info:eu-repo/grantAgreement/Consejo Nacional de Investigaciones Científicas y Tecnológicas/PIP-0348 info:eu-repo/grantAgreement/Ministerio de Ciencia, Tecnología e Innovación Productiva/PICT 2012-2148 info:eu-repo/grantAgreement/EC/PROC/12-120610-A info:eu-repo/grantAgreement/Wenner-Gren Foundation for Anthropological Research/GR-7846 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Hunter–gatherer Statistical learning Shared technology Random forest Mobility Transportes Sociología Transportation Sociology Hunter–gatherer mobility and technological landscapes in southernmost South America: a statistical learning approach info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion