Found 3057 Hypotheses across 306 Pages (0.006 seconds)
  1. 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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  2. 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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  3. Cultures that share similar natural ecologies should be more culturally similar than those in different ecologies (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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  4. 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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  5. 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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  6. Geographic 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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  7. 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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  8. Geographic 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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  9. 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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  10. Males are more likely to teach than females (29).Garfield, Zachary H. - A Cross-Cultural Analysis of Hunter-Gatherer Social Learning, 2016 - 2 Variables

    Social scientists are equivocal as to the importance of teaching (as contrasted with other forms of learning) in traditional societies. While many cultural anthropologists have downplayed the importance of teaching, cognitive psychologists often argue that teaching is a salient human universal. Here the authors investigate cultural transmission among 23 hunter-gatherer populations to explore the relative importance of teaching among foragers.

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