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Title: The human penguin project: climate, social integration, and core body temperature
Authors: 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.
Keywords: Social integration
Social thermoregulation theory
Attachment theory
Machine learning
Issue Date: 2018
Publisher: University of California Press
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.
Peer reviewed: yes
DOI: 10.1525/collabra.165
ISSN: 2474-7394
Accession number: WOS:000463259000002
Appears in Collections:CIS-RI - Artigos em revistas científicas internacionais com arbitragem científica

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