Found 2756 Hypotheses across 276 Pages (0.007 seconds)
  1. Residential mobility will influence toolkit structure (5).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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  2. 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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  3. Population size will influence toolkit structure (6).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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  4. Risk of resource failure will influence toolkit structure (4).Collard, Mark - Causes of toolkit variation among hunter-gatherers: a test of four competing..., 2005 - 3 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. Resource density is positively correlated with type of tenure system.Moritz, Mark - Comparative Study of Territoriality across Forager Societies, 2020 - 7 Variables

    Researchers investigated the variation of land tenure systems across forager societies using the economic defensibility model. The study attempted to explain the variation in tenure systems across 30 hunter-gatherer societies. Using data on defense and sharing of resources among groups, and indicators of resource density, resource predictability, and competition for resources, the researchers were unable to explain the variation. This study highlights the vast range of diversity and complexity of foragers subsistence strategies, and proposes that it may be more telling to conceptualize tenure systems among hunter-gatherer societies as assemblages of multiple property regimes. While there was no overall evidence that environmental variables of resource density and predictability explain variation in tenure systems, researchers did find that increasing population density, and greater competition for resources leads to greater territoriality.

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  6. Technological complexity is positively associated with risk of resource failure (1).Collard, Mark - Risk, mobility or population size?: Drivers of technological richness among ..., 2013 - 6 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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  7. Permanency of settlement patterns will be positively associated with land ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables

    Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.

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  8. The "collector" subgroup is associated with greater diversity than the "forager" subgroup.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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  9. Population pressure will be positively associated with socioeconomic complexity in hunter-gatherer groups (376).Keeley, Lawrence H. - Hunter-gatherer economic complexity and “population pressure”: A cross-cultu..., 1988 - 2 Variables

    This study examines the relationship between population pressure and socioeconomic complexity in a cross-cultural sample of hunter-gatherer groups. The author suggests a causal component to the positive correlations found, arguing that increasing population pressure on food resources requires increasing storage dependence, which in turn drives sedentism and other indicators of socioeconomic complexity.

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  10. Sign language will be found in societies more heavily dependent on hunting for basic subsistence (187).Divale, William Tulio - Hunting and the development of sign language: a cross-cultural test, 1977 - 2 Variables

    The association between hunting and sign language is examined. It is hypothesized that sign language develops as a form of nonverbal communication to aid hunters in the coordinated stalking of game. Ethnographic evidence supports this hypothesis. A second hypothesis is also tested concerning the relationship between population size and non-verbal communication, however sampling procedures provided an inadequate test of this hypothesis.

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