20.500.12556/RUL-165193 Ethnography beyond thick data This article presents opportunities for enriching anthropological knowledge and methods with machine learning and data analysis. Different examples show how quantitative methods empower anthropologists and how computational methods supplement ethnography, from sensor data and interview transcripts to designing technology solutions and automatically labeling cultural heritage. Conversely, the authors discuss the benefits of qualitative approaches in contemporary anthropological research and show how to transition from data analysis to ethnography and vice versa. Finally, the article pinpoints aspects in which each method can fail individually. It discusses why a combination of the two approaches, called circular mixed methods, minimizes the chance of failure and maximizes insights from the data. anthropological research machine learning big data data analysis circular mixed methods computational anthropology computer-based methods thick data antropološke raziskave strojno učenje masovni podatki analiza podatkov true false true Angleški jezik Slovenski jezik Članek v reviji 2024-11-26 14:24:56 2024-11-26 14:24:56 2024-11-27 03:50:49 0000-00-00 00:00:00 2024 0 0 Str. 272–88 iss. 2 Vol. 48 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.6:39 2153-957X 10.1111/napa.12226 207933443 Annals_of_Anthropol_Pract_-_2024_-_Pretnar_Zagar_-_Ethnography_beyond_thick_data.pdf Annals_of_Anthropol_Pract_-_2024_-_Pretnar_Zagar_-_Ethnography_beyond_thick_data.pdf 1 F8C7E9A4F342CEFB38DD0139B6954C86 d095e81ed58cb86064b8899f6ee0cc5fec597c33f31dfe0d9ba1863649af1f60 ccc9bf4c-abf9-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=196211 https://anthrosource.onlinelibrary.wiley.com/doi/10.1111/napa.12226 0 ad85e4a3-abf9-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=196210 Fakulteta za računalništvo in informatiko Filozofska fakulteta 0 0 0