Found 4201 Hypotheses across 421 Pages (0.006 seconds)
  1. "Agricultural dependence is more likely to be found among societies with a fixed settlement pattern than among societies with a nonfixed or regularly changing settlement pattern" (231)Schaefer, James Michael - Sampling methods, functional associations and galton's problem: a replicativ..., 1971 - 2 Variables

    This study investigates the relationship between agriculture and fixed settlement patterns. The authors intend to examine the effects of sampling strategies and Galton’s problem on empirical findings. Neither of these factors affected the statistical relationship between agriculture and mobility.

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  2. Technological complexity is negatively associated with residential mobility (2).Collard, Mark - Risk, mobility or population size?: Drivers of technological richness among ..., 2013 - 2 Variables

    This paper builds off previous research into the effect of population size and resource risk on complexity of subsistence technology by investigating the relationship between these independent variables and total number of material items and techniques used by various western North American hunter-gatherer groups. This tally of total technological complexity is found to be insignificantly related to population size or residential mobility; however, there is a significant correlation in the expected direction between technological complexity and one measure of resource risk (mean annual temperature during driest month). Tying this finding to previous analyses of subsistence technologies, the authors theorize that environmental risk is a pervasive driver of technological ingenuity and cultural evolution.

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  3. Environmental extremeness and range of variation will influence population density, mobility, and subsistence mode (238).Low, Bobbi S. - Human responses to environmental extremeness and uncertainty: a cross-cultur..., 1988 - 4 Variables

    This article focuses on the effect of environmental extremes and unpredictability on human behavior and reproductive strategies. Significant correlations were found between environmental extremes and unpredictability and several variables, including mobility, subsistence mode, and degree of polygyny.

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  4. The characteristics of resources exploited for food will influence toolkit structure (2).Collard, Mark - Causes of toolkit variation among hunter-gatherers: a test of four competing..., 2005 - 2 Variables

    This study tests four hypotheses that propose potential environmental and social predictors of toolkit size and complexity among hunter-gatherers. Hypotheses predicting relationships between population size, residential mobility, type of food resources and toolkit structure are not supported. Risk of resource failure is the only variable that is significantly associated with toolkit structure.

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  5. Frequency of warfare will be negatively associated with mobility (65).Kelly, Robert L. - Warless and warlike hunter-gatherers: a comparison, 2000 - 2 Variables

    This book examines the characteristics of warlike and warless foraging societies, as well as the transitional stages that occur when a society becomes warlike. Several predicted correlates of warfare frequency are supported.

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  6. A greater than expected implement elaborateness than what is predicted by the interaction model of growing season (GS) and number of annual moves (NMV) suggests a "collecting" subsistence strategy, and a lesser value than expected predicts a "foraging" subsistence strategy.Read, Dwight - An Interaction Model for Resource Implement Complexity Based on Risk and Num..., 2008 - 3 Variables

    In this paper, the authors analyzed data on 20 hunter-gatherer groups in order to understand the factors that influence the diversity and elaborateness of their tool assemblages. They used data collected by a variety of ethnographers to draw inferences about the complexity of implement assemblages and how it is affected by ecological constraints, modes of resource procurement, group movement, and population size. Regression analysis showed that the two strongest predictors of implement complexity were growth season (GS) (as a proxy for risk) and the number of annual residential moves (NMV). With the understanding that NMV and GS are likely not independent, the authors created addition and interaction models to understand how these variables may work in tandem to influence implement diversity and elaborateness. The results show that a shorter growing season (higher risk) and a lower number of moves are correlated with greater implement complexity. This analysis also divided the hunter-gatherers into two subgroups: a subgroup characterized by higher diversity of complex implements and more elaborate individual implements than predicted by the model, and a subgroup characterized by lower diversity and less elaborateness than predicted. These subgroups were found to correspond with the distinction between foragers (groups that move more-or-less as a unit while gathering) and collectors (groups that gather (logistically from a more-or-less fixed settlement), with the higher diversity subgroup being made up mostly of collectors and the lower diversity subgroup being made up mostly of foragers. Finally, the authors suggest that under conditions where population growth leads to increased density, foraging strategies will tend to shift to collector strategies in conjunction with increased elaborateness of implements to exploit resources with greater intensity.

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  7. Agricultural societies will have higher paternal certainty than hunter-gatherer societies (230).Gaulin, Steven J.C. - Sexual dimorphism in the human post-reproductive life-span: possible causes, 1980 - 2 Variables

    This study tests possible explanations for sexual dimorphism in human post-reproductive life-spans. The author focuses on explanations involving male paternal investment and finds that men in agricultural societies are more likely to invest in their offspring than men in hunter-gatherer societies.

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  8. Ground plan shape will be associated with settlement permanenceArwen L. Feather - Circular or rectangular ground plans: Some costs and benefits, 1996 - 2 Variables

    In the present study, Feather explores the relationship between floor plan shape and settlement permanence in order to theorize how mobility strategy influences floor plan choice. Feather incorporates the theoretical framework of previous studies by examining how floor plans and building materials vary across mobility and residential strategies, as well as social and political concerns.

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  9. Ground plan shape will be associated with settlement compactness.Arwen L. Feather - Circular or rectangular ground plans: Some costs and benefits, 1996 - 2 Variables

    In the present study, Feather explores the relationship between floor plan shape and settlement permanence in order to theorize how mobility strategy influences floor plan choice. Feather incorporates the theoretical framework of previous studies by examining how floor plans and building materials vary across mobility and residential strategies, as well as social and political concerns.

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  10. A longer growing season (GS) and a higher number of annual moves (NMV) is correlated with lower implement diversity and elaborateness.Read, Dwight - An Interaction Model for Resource Implement Complexity Based on Risk and Num..., 2008 - 7 Variables

    In this paper, the authors analyzed data on 20 hunter-gatherer groups in order to understand the factors that influence the diversity and elaborateness of their tool assemblages. They used data collected by a variety of ethnographers to draw inferences about the complexity of implement assemblages and how it is affected by ecological constraints, modes of resource procurement, group movement, and population size. Regression analysis showed that the two strongest predictors of implement complexity were growth season (GS) (as a proxy for risk) and the number of annual residential moves (NMV). With the understanding that NMV and GS are likely not independent, the authors created addition and interaction models to understand how these variables may work in tandem to influence implement diversity and elaborateness. The results show that a shorter growing season (higher risk) and a lower number of moves are correlated with greater implement complexity. This analysis also divided the hunter-gatherers into two subgroups: a subgroup characterized by higher diversity of complex implements and more elaborate individual implements than predicted by the model, and a subgroup characterized by lower diversity and less elaborateness than predicted. These subgroups were found to correspond with the distinction between foragers (groups that move more-or-less as a unit while gathering) and collectors (groups that gather (logistically from a more-or-less fixed settlement), with the higher diversity subgroup being made up mostly of collectors and the lower diversity subgroup being made up mostly of foragers. Finally, the authors suggest that under conditions where population growth leads to increased density, foraging strategies will tend to shift to collector strategies in conjunction with increased elaborateness of implements to exploit resources with greater intensity.

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