Found 2084 Hypotheses across 209 Pages (0.005 seconds)
  1. "Kin will be given more help than nonkin, with close kin receiving the most help" (236).Essock-Vitale, Susan M. - Predictions derived from the theories of kin selection, 1980 - 2 Variables

    This paper presents a series of predictions that are derived from the assumption that kin selection an altruism are evolved components of human social behavior. Several examples from the anthropological literature that pertain to these predictions are discussed. Data presented are mostly consistent with the predictions.

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  2. "Large gifts and long-term loans are most likely to come from kin" (236).Essock-Vitale, Susan M. - Predictions derived from the theories of kin selection, 1980 - 2 Variables

    This paper presents a series of predictions that are derived from the assumption that kin selection an altruism are evolved components of human social behavior. Several examples from the anthropological literature that pertain to these predictions are discussed. Data presented are mostly consistent with the predictions.

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  3. "Friendships will be reciprocal" (236).Essock-Vitale, Susan M. - Predictions derived from the theories of kin selection, 1980 - 2 Variables

    This paper presents a series of predictions that are derived from the assumption that kin selection an altruism are evolved components of human social behavior. Several examples from the anthropological literature that pertain to these predictions are discussed. Data presented are mostly consistent with the predictions.

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  4. "Assistance received will be a function of (1) kinship, (2) the ability to collect on debts, and (3) the ability to obtain credit" (241).Essock-Vitale, Susan M. - Predictions derived from the theories of kin selection, 1980 - 4 Variables

    This paper presents a series of predictions that are derived from the assumption that kin selection an altruism are evolved components of human social behavior. Several examples from the anthropological literature that pertain to these predictions are discussed. Data presented are mostly consistent with the predictions.

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  5. Societies relying on animal husbandry for subsistence will tend not to have daily sharing between households.Ringen, Erik J. - The evolution of daily food sharing: A Bayesian phylogenetic analysis, 2019 - 2 Variables

    The research examines daily food sharing norms of 73 preindustrial societies from the Standard Cross-Cultural Sample. Multilevel regression models reveal that hunting and less predictable environments are not indicative of everyday food sharing, but offer support for many other predictions. Animal husbandry, external trade, daily labor sharing, and the presence of food storage are all predictive of daily food sharing practices whereas sharing is less common amongst large and stratified societies. These results align with evolutionary theories for food sharing practices.

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  6. Societies relying on hunting will have more daily food sharing than those relying on other forms of subsistence.Ringen, Erik J. - The evolution of daily food sharing: A Bayesian phylogenetic analysis, 2019 - 2 Variables

    The research examines daily food sharing norms of 73 preindustrial societies from the Standard Cross-Cultural Sample. Multilevel regression models reveal that hunting and less predictable environments are not indicative of everyday food sharing, but offer support for many other predictions. Animal husbandry, external trade, daily labor sharing, and the presence of food storage are all predictive of daily food sharing practices whereas sharing is less common amongst large and stratified societies. These results align with evolutionary theories for food sharing practices.

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  7. Societies with food storing technology will have less daily food sharing norms than those where technology is absent.Ringen, Erik J. - The evolution of daily food sharing: A Bayesian phylogenetic analysis, 2019 - 2 Variables

    The research examines daily food sharing norms of 73 preindustrial societies from the Standard Cross-Cultural Sample. Multilevel regression models reveal that hunting and less predictable environments are not indicative of everyday food sharing, but offer support for many other predictions. Animal husbandry, external trade, daily labor sharing, and the presence of food storage are all predictive of daily food sharing practices whereas sharing is less common amongst large and stratified societies. These results align with evolutionary theories for food sharing practices.

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  8. Societies with less predictable environments will have more daily food sharing norms than those with more predictable environments.Ringen, Erik J. - The evolution of daily food sharing: A Bayesian phylogenetic analysis, 2019 - 2 Variables

    The research examines daily food sharing norms of 73 preindustrial societies from the Standard Cross-Cultural Sample. Multilevel regression models reveal that hunting and less predictable environments are not indicative of everyday food sharing, but offer support for many other predictions. Animal husbandry, external trade, daily labor sharing, and the presence of food storage are all predictive of daily food sharing practices whereas sharing is less common amongst large and stratified societies. These results align with evolutionary theories for food sharing practices.

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  9. Societies with external trade of food will be less likely to have daily food sharing norms than those where external food exchange is absent.Ringen, Erik J. - The evolution of daily food sharing: A Bayesian phylogenetic analysis, 2019 - 2 Variables

    The research examines daily food sharing norms of 73 preindustrial societies from the Standard Cross-Cultural Sample. Multilevel regression models reveal that hunting and less predictable environments are not indicative of everyday food sharing, but offer support for many other predictions. Animal husbandry, external trade, daily labor sharing, and the presence of food storage are all predictive of daily food sharing practices whereas sharing is less common amongst large and stratified societies. These results align with evolutionary theories for food sharing practices.

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  10. Societies that are smaller in community size will have more daily food sharing norms than those that are larger.Ringen, Erik J. - The evolution of daily food sharing: A Bayesian phylogenetic analysis, 2019 - 2 Variables

    The research examines daily food sharing norms of 73 preindustrial societies from the Standard Cross-Cultural Sample. Multilevel regression models reveal that hunting and less predictable environments are not indicative of everyday food sharing, but offer support for many other predictions. Animal husbandry, external trade, daily labor sharing, and the presence of food storage are all predictive of daily food sharing practices whereas sharing is less common amongst large and stratified societies. These results align with evolutionary theories for food sharing practices.

    Related HypothesesCite