Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/19812
Author(s): | IJzerman, H. Lindenberg, S. Dalğa, I. Weissgerber, S. C. Vergara, R. C. Cairo, A. H. Čolić, M. V. Dursun, P. Frankowska, N. Hadi, R. Hall, C. J. Hong, Y. Hu, Chuan-Peng Joy-Gaba, Jennifer Lazarević, D. Lazarević, L. B. Parzuchowski´, M. Ratner, K. G. Rothman, D. Sim, S. Simão, C. Song, M. Stojilović, D. Blomster, J. Brito, R. Hennecke, M. Jaume-Guazzini, F. Schubert, T. W. Schütz, A. Seibt, B. Zickfeld, Janis H. |
Date: | 2018 |
Title: | The human penguin project: climate, social integration, and core body temperature |
Volume: | 4 |
Number: | 1 |
ISSN: | 2474-7394 |
DOI (Digital Object Identifier): | 10.1525/collabra.165 |
Keywords: | Social integration Social thermoregulation theory Attachment theory Embodiment Machine learning |
Abstract: | Social thermoregulation theory posits that modern human relationships are pleisiomorphically organized around body temperature regulation. In two studies (N = 1755) designed to test the principles from this theory, we used supervised machine learning to identify social and non-social factors that relate to core body temperature. This data-driven analysis found that complex social integration (CSI), defined as the number of high-contact roles one engages in, is a critical predictor of core body temperature. We further used a cross-validation approach to show that colder climates relate to higher levels of CSI, which in turn relates to higher CBT (when climates get colder). These results suggest that despite modern affordances for regulating body temperature, people still rely on social warmth to buffer their bodies against the cold. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CIS-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
File | Description | Size | Format | |
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Ijzerman et al.2018.The human penguin project.Collabra.pdf | Versão Editora | 854,48 kB | Adobe PDF | View/Open |
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