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Eerola T, Vuoskoski JK, Peltola HR, Putkinen V, Schäfer K. An integrative review of the enjoyment of sadness associated with music. Phys Life Rev 2018; 25:100-121. [DOI: 10.1016/j.plrev.2017.11.016] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 10/30/2017] [Accepted: 11/13/2017] [Indexed: 12/17/2022]
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Abstract
It is time to abandon essentialism in emotional research: Our sociodynamic model (Mesquita & Boiger, 2014) proposes to study emotions as contextualized processes, rather than as states. This does not mean eschewing mental processes, but rather studying them dynamically and in open interaction with their environment. Our proposal is not to shift the focus of emotion studies to a different level. Rather, placing emotions in their social context renders their psychological qualities understandable and predictable. This is illustrated by some examples from my own cross-cultural research.
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Affiliation(s)
- Batja Mesquita
- Center for Social and Cultural Psychology, University of Leuven, Belgium
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Author Reply: Toward a Multilevel Mechanistic Explanation of Complex Regularities Between Environment and Emotional Components. EMOTION REVIEW 2014. [DOI: 10.1177/1754073914534503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
In reply to the commentaries of Clay-Warner (2014), Gendolla (2014), Nesse (2014), Shweder (2014), and Zachar (2014), I repeat the essential features of appraisal theories of the second flavor: They take emotional components (and not specific emotions) as the phenomenon to be explained, and they strive for a multilevel mechanistic explanation that leaves room for complex and dynamical processes or mechanisms. Every mechanistic explanation starts with an accurate description of regularities between inputs and outputs. Regularities do not preclude context-dependent variety, because there is no limit to the number of input factors that can influence the output, and back.
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