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Field evidence for two paths to cross-cultural competence: implications for cultural dynamics

Published online by Cambridge University Press:  07 February 2020

John A. Bunce*
Affiliation:
Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany and Department of Anthropology, University of California, Davis, One Shields Ave, Davis, CA95616, USA
*
*Corresponding author. E-mail: john_bunce@eva.mpg.de

Abstract

Interaction between members of culturally distinct (ethnic) groups is an important driver of the evolutionary dynamics of human culture, yet relevant mechanisms remain underexplored. For example, cultural loss resulting from integration with culturally distinct immigrants or colonial majority populations remains a topic whose political salience exceeds our understanding of mechanisms that may drive or impede it. For such dynamics, one mediating factor is the ability to interact successfully across cultural boundaries (cross-cultural competence). However, measurement difficulties often hinder its investigation. Here, simple field methods in a uniquely suited Amazonian population and Bayesian item–response theory models are used to derive the first experience-level measure of cross-cultural competence, as well as evidence for two developmental paths: cross-cultural competence may emerge as a side effect of adopting out-group cultural norms, or it may be acquired while maintaining in-group norms. Ethnographic evidence suggests that the path taken is a likely consequence of power differences in inter- vs intra-group interaction. The former path, paralleling language extinction, may lead to cultural loss; the latter to cultural sustainability. Recognition of such path-dependent effects is vital to theory of cultural dynamics in humans and perhaps other species, and to effective policy promoting cultural diversity and constructive inter-ethnic interaction.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s) 2020
Figure 0

Figure 1. Derivation of experience-level cross-cultural competence. (a) Determine the probability that individuals with a given type of inter-ethnic experience hold a given norm, as well as their guesses about the norm held by an anonymous, randomly chosen out-group and in-group member. (b) Compare guess probabilities with the actual probabilities that out-group and in-group individuals hold the norm, and compute Kullback–Leibler divergence (Kullback and Leibler 1951) between these probability distributions as a measure of guess inaccuracy (in natural units of information entropy – see Materials and Methods). (c) Relative cross-cultural competence for an experience type is defined as less inaccurate out-group guesses and no more inaccurate in-group guesses than individuals with other types of experience. Two paths to cross-cultural competence (Y and Z) are distinguished by the norms that individuals hold.

Figure 1

Table 1. Vignette questions administered in this study, and their respective social contexts. Column four contains the response arbitrarily coded as 1 (positive). An alternative response was coded as 0. The number of Matsigenka and Mestizo interviewees answering each question is indicated in column 5. The upper row corresponds to the number of Matsigenka responses with regard to personally held norms (ego, E), in-group guesses (I) and out-group guesses (O). The lower row contains analogous sample sizes for Mestizos. Further explanation, ethnographic validation, and translations of these questions are provided in Supplementary Appendix A.2

Figure 2

Table 2. Characteristics of the participants in this study. Columns 3 and 4 contain numbers of participants in Personal Norm interviews and Guess (both in-group and out-group) interviews, respectively. For the first four categories, proportions of interviewees per interview type (Personal Norm or Guess) are given in parentheses. For the last two categories, proportions of Matsigenka or Mestizo interviewees (respectively) per interview type are given in parentheses. Note that each individual can have multiple types of experience, so proportions in these last two categories do not sum to 1. Definitions of characteristics, as well as additional details, are provided in Supplementary Appendix A.3.3

Figure 3

Figure 2. Raw proportions of personally held norms, and in-group and out-group guesses. Proportions of interviewees giving the positive response to the 14 vignette questions in Table 1 are plotted. The diagonal is the line of equal proportions between Matsigenka and Mestizos. The vertical (or horizontal) distance from a point to the diagonal is the difference in proportion between ethnic groups. (a) Personal (ego) Norms for Matsigenka (n = 79) and Mestizos (n = 82). Note that, for all questions, a larger proportion of Matsigenka than Mestizos gave positive responses, i.e. all points fall above the diagonal. (b) In-group guesses for Matsigenka (n = 57) and Mestizos (n = 46). Proportions of interviewees who guessed that most members of their in-group gave the positive response to a given question are plotted. Note that if in-group guesses were perfectly accurate in the aggregate for this sample (see Methods: Statistical Analysis), plots (a) and (b) would be identical. (c) Out-group guesses for Matsigenka (n = 57) and Mestizos (n = 46). Proportions of interviewees who guessed that most members of the out-group gave the positive response to a given question are plotted. Note that if out-group guesses were perfectly accurate in the aggregate for this sample, plots (a) and (c) would be identical.

Figure 4

Figure 3. Personally held norms and inaccuracy of in-group and out-group guesses. The four rows of (a) refer to counterfactual (McElreath 2016) (i.e. model estimates of hypothetical) Matsigenka who have interaction experience with Mestizos in only one of the respective domains of education, wage labor or commerce, or none of the three previous domains. Analogously, the four rows of (b) refer to counterfactual Mestizos who have experience in only one of the respective domains of living in an indigenous community, employing indigenous Matsigenka or living in a household with indigenous people, or none of the three previous domains (Supplementary Appendix A.3.3). Left column: posterior distributions (i.e. model estimates with associated uncertainties) of mean probabilities of a positive personally held norm response across all 14 vignette questions (Table 1). Center column: posterior distributions of mean inaccuracy of out-group guesses (calculated as in Figure 1b). Right column: posterior distributions of mean inaccuracy of in-group guesses. Posterior distributions are derived from IRT models (A, m11; and B, m19 in Tables S1 and S2). The 90% highest posterior density intervals (HPDI) are shown in grey.

Figure 5

Figure 4. Contrasts (differences) of mean guess inaccuracy. (a) Above diagonal: each cell contains the contrast (row minus column) of the posterior distributions for the mean inaccurary of out-group guesses by counterfactual Matsigenka with each experience type in Figure 3a. Distributions to the right of 0 indicate that the row experience type tended to make more inaccurate guesses than the column experience type. Distributions to the left of 0 indicate the opposite. Distributions around 0 indicate no detectable differences in guess inaccuracy between experience types. (a) Below diagonal: analogous contrasts for Matsigenka mean in-group guess inaccuracies. (b) Analogous contrasts for Mestizo mean out-group (above diagonal) and in-group (below diagonal) guess inaccuracies. The 90% HPDI are shown in grey.

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