The dynamics of injunctive social norms.

cooperation decision-making punishment social norms values

Journal

Evolutionary human sciences
ISSN: 2513-843X
Titre abrégé: Evol Hum Sci
Pays: England
ID NLM: 101773423

Informations de publication

Date de publication:
2020
Historique:
medline: 13 11 2020
pubmed: 13 11 2020
entrez: 17 8 2023
Statut: epublish

Résumé

Injunctive social norms are behaviours that one is expected to follow and expects others to follow in a given social situation; they are maintained by the threat of disapproval or punishment and by the process of internalization. Injunctive norms govern all aspects of our social life but the understanding of their effects on individual and group behaviour is currently rather incomplete. Here I develop a general mathematical approach describing the dynamics of injunctive norms in heterogeneous groups. My approach captures various costs and benefits, both material and normative, associated with norm-related behaviours including punishment and disapproval by others. It also allows for errors in decision-making and explicitly accounts for differences between individuals in their values, beliefs about the population state, and sensitivity to the actions of others. In addition, it enables one to study the consequences of mixing populations with different normative values and the effects of persuasive interventions. I describe how interactions of these factors affect individual and group behaviour. As an illustration, I consider policies developed by practitioners to abolish the norms of footbinding and female genital cutting, to decrease college students' drinking, and to increase pro-environmental behaviours. The theory developed here can be used for achieving a better understanding of historical and current social processes as well as for developing practical policies better accounting for human social behaviour.

Identifiants

pubmed: 37588350
doi: 10.1017/ehs.2020.58
pii: S2513843X20000584
pmc: PMC10427483
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e60

Informations de copyright

© The Author(s) 2020.

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Auteurs

Sergey Gavrilets (S)

Department of Ecology and Evolutionary Biology, Department of Mathematics, National Institute for Mathematical and Biological Synthesis, Center for the Dynamics of Social Complexity, University of Tennessee, Knoxville, TN 37996 USA.

Classifications MeSH