Abstract

Adaptive interactions in large populations often require honest signals of group membership to structure interactions. However, limitations to a simple mapping of groups onto stylistic and ethnosomatic variation suggest that new ways of measurement are needed to describe the work that objects do to facilitate social coordination. Means to measure the benefits to coordinating on specific objects, here called signaling value, would transition inquiry from general statement that signals play a role, to which signals play what roles in what contexts. This study introduces a method to measure the signaling value of specific objects using classification tasks. After mathematically showing how social coordination leads to greater associations in object classification, a statistical approach is derived to estimate the signaling value of objects from a triad classification task. The approach is then applied to a study of culturally salient motifs in the Pacific Island nation of Tonga and a comparison group in the US. The statistical estimates suggest a large role for social coordination for the full set of motifs, although there is a substantial range of signaling values among motifs. In light of the estimates, the cultural history of individual motifs is discussed as well as the future of this approach.

Highlights

  • We explore some features of the dynamics (Figure 2), confirming the positive relationship between coordination benefits between objects and their joint classification (equation (1))

  • The parameter weighing the effects of social coordination with inherent classification, u, was estimated to be 0.895 with satisfactory precision

  • This suggests that the majority of the classification data can be explained by in-group social learning and signaling processes rather than an out-group classification of motif designs that revolves around stylistic similarities – circles grouped together with circles and squares with squares

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Summary

Objectives

Following the motivating model in the Introduction, we aim to statistically estimate the requisite level of social coordination that may explain how individuals classify objects

Methods
Results
Conclusion
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