Ciência-IUL
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Descrição Detalhada da Publicação
Título Revista
Collabra: Psychology
Ano (publicação definitiva)
2018
Língua
Inglês
País
Estados Unidos da América
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Abstract/Resumo
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.
Agradecimentos/Acknowledgements
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Palavras-chave
Social integration,Social thermoregulation theory,Attachment theory,Embodiment,Machine learning
Classificação Fields of Science and Technology
- Psicologia - Ciências Sociais
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
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016.145.049 | Netherlands Organization for Scientific Research (NWO) |
ANR-15-IDEX-02 | French National Research Agency (ANR) |