Found 4675 Hypotheses across 468 Pages (0.003 seconds)
  1. The gender of weaver will be associated with loom complexity (33).O'Brian, Robin - Who weaves and why? weaving, loom complexity and trade, 1999 - 2 Variables

    This article examines the relationship between craft specialization, technological complexity, the gendered division of labor, and trade. Seeking to understand the shift from women to men as primary weavers, the author finds that trade is a strong predictor but technological complexity of looms is not.

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  2. Most basic loom features will evolve slower than traits at higher levels of intricacyBuckley, Christopher D. - Contrasting Modes of Cultural Evolution: Kra-Dai Languages and Weaving Techn..., 2025 - 2 Variables

    Languages and weaving methods are passed down generation to generation, allowing both of them to have relatively clear phylogenies. These researchers use a Bayesian approach with Markov chain Monte Carlo methods to uncover similar but independent phylogenies for Kra-Dai languages and weaving technologies. Evolutionary differences between the two are most likely due to different rates of change: smooth change (language) and periods of burst and stasis (weaving). This study found that language phylogenies were not efficient at predicting phylogenies of technologies.

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  3. Kra-Dai language and loom phylogenies will evolve along related but different pathsBuckley, Christopher D. - Contrasting Modes of Cultural Evolution: Kra-Dai Languages and Weaving Techn..., 2025 - 2 Variables

    Languages and weaving methods are passed down generation to generation, allowing both of them to have relatively clear phylogenies. These researchers use a Bayesian approach with Markov chain Monte Carlo methods to uncover similar but independent phylogenies for Kra-Dai languages and weaving technologies. Evolutionary differences between the two are most likely due to different rates of change: smooth change (language) and periods of burst and stasis (weaving). This study found that language phylogenies were not efficient at predicting phylogenies of technologies.

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  4. Language phylogeny will predict a significant part of the variation in weaving loomsBuckley, Christopher D. - Contrasting Modes of Cultural Evolution: Kra-Dai Languages and Weaving Techn..., 2025 - 2 Variables

    Languages and weaving methods are passed down generation to generation, allowing both of them to have relatively clear phylogenies. These researchers use a Bayesian approach with Markov chain Monte Carlo methods to uncover similar but independent phylogenies for Kra-Dai languages and weaving technologies. Evolutionary differences between the two are most likely due to different rates of change: smooth change (language) and periods of burst and stasis (weaving). This study found that language phylogenies were not efficient at predicting phylogenies of technologies.

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  5. Technologies will evolve in bursts and periods of stasisBuckley, Christopher D. - Contrasting Modes of Cultural Evolution: Kra-Dai Languages and Weaving Techn..., 2025 - 2 Variables

    Languages and weaving methods are passed down generation to generation, allowing both of them to have relatively clear phylogenies. These researchers use a Bayesian approach with Markov chain Monte Carlo methods to uncover similar but independent phylogenies for Kra-Dai languages and weaving technologies. Evolutionary differences between the two are most likely due to different rates of change: smooth change (language) and periods of burst and stasis (weaving). This study found that language phylogenies were not efficient at predicting phylogenies of technologies.

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  6. Speakers of closely related languages will tend to use similar types of weaving loomsBuckley, Christopher D. - Contrasting Modes of Cultural Evolution: Kra-Dai Languages and Weaving Techn..., 2025 - 2 Variables

    Languages and weaving methods are passed down generation to generation, allowing both of them to have relatively clear phylogenies. These researchers use a Bayesian approach with Markov chain Monte Carlo methods to uncover similar but independent phylogenies for Kra-Dai languages and weaving technologies. Evolutionary differences between the two are most likely due to different rates of change: smooth change (language) and periods of burst and stasis (weaving). This study found that language phylogenies were not efficient at predicting phylogenies of technologies.

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  7. Social differentiation will be positively associated with violent crime (249).Leavitt, Gregory C. - General evolution and Durkheim's hypothesis of crime frequency: A cross-cult..., 1992 - 16 Variables

    This paper is an investigation into the relationship between social differentiation as a proxy for societal 'development' and various categories of crime. A positive relationship is interpreted by the author as empirical cross-cultural support for Durkheim's theory that these two factors will increase together as parallel processes of 'sociocultural evolution'.

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  8. Social differentiation will be positively associated with property crime (250).Leavitt, Gregory C. - General evolution and Durkheim's hypothesis of crime frequency: A cross-cult..., 1992 - 15 Variables

    This paper is an investigation into the relationship between social differentiation as a proxy for societal 'development' and various categories of crime. A positive relationship is interpreted by the author as empirical cross-cultural support for Durkheim's theory that these two factors will increase together as parallel processes of 'sociocultural evolution'.

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  9. Social differentiation will be positively associated with indices of miscellaneous crime (251).Leavitt, Gregory C. - General evolution and Durkheim's hypothesis of crime frequency: A cross-cult..., 1992 - 20 Variables

    This paper is an investigation into the relationship between social differentiation as a proxy for societal 'development' and various categories of crime. A positive relationship is interpreted by the author as empirical cross-cultural support for Durkheim's theory that these two factors will increase together as parallel processes of 'sociocultural evolution'.

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  10. "Societies that have extensive regional trade routes and families who cannot survive on their own agricultural or foraging resources are likely to have male clothes makers" (309).Byrne, Bryan - Subsistence strategies and the division of labor by gender among clothes mak..., 1999 - 2 Variables

    Tests the theory that division of labor among clothes makers is determined by the role of clothes making in subsistence; the effect of agriculture and trade is considered.

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