Trial reportTopics in cognitive science2015
Reasoning About Cultural and Genetic Transmission: Developmental and Cross-Cultural Evidence From Peru, Fiji, and the United States on How People Make Inferences About Trait Transmission.
Trial report in Topics in cognitive science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- Transformative tales: The role of story videos on children's reasoning about transgender identities.The British journal of developmental psychology · 2025Article
- Half a century of quantitative cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- How essentialist reasoning about language acquisition relates to educational myths and policy endorsements.Cognitive research: principles and implications · 2023Article
- A conceptual analysis of public opinion regarding genome research in Japan.Frontiers in genetics · 2023Article
- Language as a marker of ethnic identity among the Yucatec Maya.Evolutionary human sciences · 2020Article
- How language shapes the cultural inheritance of categories.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Epigenetic Inheritance and Its Role in Evolutionary Biology: Re-Evaluation and New Perspectives.Biology · 2016Article
- Social Value Orientation and Capitalism in Societies.PloS one · 2016Article
- Current Perspectives on Cognitive Diversity.Frontiers in psychology · 2016Article
- Probing the Cultural Constitution of Causal Cognition - A Research Program.Frontiers in psychology · 2016Article
- Different selection pressures give rise to distinct ethnic phenomena : a functionalist framework with illustrations from the Peruvian Altiplano.Human nature (Hawthorne, N.Y.) · 2015Article
- Evolved priors for ethnolinguistic categorization: A case study from the Quechua-Aymara boundary in the Peruvian Altiplano.Evolution and human behavior : official journal of the Human Behavior and Evolution Society · 2013Article
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Authors and funding
3 authors.
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Abstract
Using samples from three diverse populations, we test evolutionary hypotheses regarding how people reason about the inheritance of various traits. First, we provide a framework for differentiat-ing the outputs of mechanisms that evolved for reasoning about variation within and between (a) biological taxa and (b) culturally evolved ethnic categories from (c) a broader set of beliefs and categories that are the outputs of structured learning mechanisms. Second, we describe the results of a modified "switched-at-birth" vignette study that we administered among children and adults in Puno (Peru), Yasawa (Fiji), and adults in the United States. This protocol permits us to study perceptions of prenatal and social transmission pathways for various traits and to differentiate the latter into vertical (i.e., parental) versus horizontal (i.e., peer) cultural influence. These lines of evidence suggest that people use all three mechanisms to reason about the distribution of traits in the population. Participants at all three sites develop expectations that morphological traits are under prenatal influence, and that belief traits are more culturally influenced. On the other hand, each population holds culturally specific beliefs about the degree of social influence on non-morphological traits and about the degree of vertical transmission-with only participants in the United States expecting parents to have much social influence over their children. We reinterpret people's differentiation of trait transmission pathways in light of humans' evolutionary history as a cultural species.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.