Found 2443 Hypotheses across 245 Pages (0.008 seconds)
  1. Genetic distance will be positively associated with linguistic variability (2).Brown, Steven - Correlations in the population structure of music, genes and language, 2014 - 2 Variables

    By testing relationships between musical, geographic, genetic, and linguistic distance among nine indigenous groups in Taiwan, the researchers aim to quantitatively evaluate a developing theory of coevolution between these traits. An especially strong correlation between musical variability and genetic distance suggests that music may possess worldwide time depth, diversity, and universality equal to or greater than that of language, and could thus serve as a complementary marker for reconstruction of long-term population shifts.

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  2. Genetic distance will be positively associated with geographic distance (2).Brown, Steven - Correlations in the population structure of music, genes and language, 2014 - 2 Variables

    By testing relationships between musical, geographic, genetic, and linguistic distance among nine indigenous groups in Taiwan, the researchers aim to quantitatively evaluate a developing theory of coevolution between these traits. An especially strong correlation between musical variability and genetic distance suggests that music may possess worldwide time depth, diversity, and universality equal to or greater than that of language, and could thus serve as a complementary marker for reconstruction of long-term population shifts.

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  3. Genetic distance will be positively associated with variability in musical characteristics (2).Brown, Steven - Correlations in the population structure of music, genes and language, 2014 - 2 Variables

    By testing relationships between musical, geographic, genetic, and linguistic distance among nine indigenous groups in Taiwan, the researchers aim to quantitatively evaluate a developing theory of coevolution between these traits. An especially strong correlation between musical variability and genetic distance suggests that music may possess worldwide time depth, diversity, and universality equal to or greater than that of language, and could thus serve as a complementary marker for reconstruction of long-term population shifts.

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  4. The distribution of cultural units ("semes") can be explained using a demic-diffusion model of transmission (317). Hewlett, Barry S. - Semes and genes in africa, 2002 - 4 Variables

    Genetic, linguistic, and geographic data can be used to explain the distribution of cultural units ("semes") and to understand the evolutionary mechanisms of culture. Three broad models of cultural transmission attempt to explain why cultures share semes: (1) Cultural diffusion, emphasizing horizontal transmission. (2) Local adaptation, where trail-and-error learning leads to the independent adoption of semes by different peoples living in similar environments. (3) Demic diffusion, which emphasizes vertical and frequency-dependent transmission. Authors test the explanatory power of each model using cultural, genetic, linguistic and geographic data from 36 African cultures.

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  5. The distribution of cultural units ("semes") can be explained using a cultural diffusion model of transmission (317).Hewlett, Barry S. - Semes and genes in africa, 2002 - 4 Variables

    Genetic, linguistic, and geographic data can be used to explain the distribution of cultural units ("semes") and to understand the evolutionary mechanisms of culture. Three broad models of cultural transmission attempt to explain why cultures share semes: (1) Cultural diffusion, emphasizing horizontal transmission. (2) Local adaptation, where trail-and-error learning leads to the independent adoption of semes by different peoples living in similar environments. (3) Demic diffusion, which emphasizes vertical and frequency-dependent transmission. Authors test the explanatory power of each model using cultural, genetic, linguistic and geographic data from 36 African cultures.

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  6. The distribution of cultural units ("semes") can be explained using a local adaptation model of transmission (317).Hewlett, Barry S. - Semes and genes in africa, 2002 - 4 Variables

    Genetic, linguistic, and geographic data can be used to explain the distribution of cultural units ("semes") and to understand the evolutionary mechanisms of culture. Three broad models of cultural transmission attempt to explain why cultures share semes: (1) Cultural diffusion, emphasizing horizontal transmission. (2) Local adaptation, where trail-and-error learning leads to the independent adoption of semes by different peoples living in similar environments. (3) Demic diffusion, which emphasizes vertical and frequency-dependent transmission. Authors test the explanatory power of each model using cultural, genetic, linguistic and geographic data from 36 African cultures.

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  7. Populations which have remained near their origin will show a lower proportion of long alleles of DRD4 than those that migrated further away (312).Chen, Chuansheng - Population migration and the variation of dopamine D4 receptor (DRD4) allele..., 1999 - 2 Variables

    Dopamine receptor D4 (DRD4) exhibits the largest number of polymorphisms of any dopamine receptor yet identified, and variation in DRD4 has been linked to variation in traits such as novelty-seeking and attention deficit/hyperactivity disorder. DRD4 also exhibits large variation between populations. Here, the authors test the hypothesis that natural selection acting on DRD4 may account for variation in between-population migratory patterns, using genetic and historical data from 39 populations.

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  8. Population level variation in DRD4 alleles is attributable to general bottleneck effects that also acted on non-DRD4 genes (317).Chen, Chuansheng - Population migration and the variation of dopamine D4 receptor (DRD4) allele..., 1999 - 2 Variables

    Dopamine receptor D4 (DRD4) exhibits the largest number of polymorphisms of any dopamine receptor yet identified, and variation in DRD4 has been linked to variation in traits such as novelty-seeking and attention deficit/hyperactivity disorder. DRD4 also exhibits large variation between populations. Here, the authors test the hypothesis that natural selection acting on DRD4 may account for variation in between-population migratory patterns, using genetic and historical data from 39 populations.

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  9. There is a relationship between genetic variation and grammar beyond the level of language families.Matsumae, Hiromi - Exploring correlations in genetic and cultural variation across language fam..., 2021 - 2 Variables

    This article explores the possible relationship between the cultural evolution of language, music, and genetic variation beyond the level of language families. Due to their linguistic diversity, the authors use a sample of 14 Northeast Asian societies with matching information on their music, genetics, and linguistic patterns. The variables measuring language are lexicon, phonology, and grammar. Then, the authors compare each variable's relationship to music and genetic variation. The results only show a significant correlation between grammar and genetic variation.

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  10. There is a relationship between music and genetic variation beyond the level of language families.Matsumae, Hiromi - Exploring correlations in genetic and cultural variation across language fam..., 2021 - 2 Variables

    This article explores the possible relationship between the cultural evolution of language, music, and genetic variation beyond the level of language families. Due to their linguistic diversity, the authors use a sample of 14 Northeast Asian societies with matching information on their music, genetics, and linguistic patterns. The variables measuring language are lexicon, phonology, and grammar. Then, the authors compare each variable's relationship to music and genetic variation. The results only show a significant correlation between grammar and genetic variation.

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