Found 1685 Hypotheses across 169 Pages (0.008 seconds)
  1. Tool repertoire size will be larger in large populations than in small populations (2561).Kline, Michelle A. - Population size predicts technological complexity in oceania, 2010 - 7 Variables

    The capacity for cumulative cultural evolution has often been invoked to explain the great diversity of habitats occupied by humans. This theory of cultural evolution emphasizes the gradual accumulation of technologies and cultural practices over many generations, and predicts that larger populations will generate more complex cultural adaptations than smaller, isolated ones. Here, the authors investigate the marine foraging tool repertoires of 10 Oceanic societies to determine whether population size and intergroup contact affect the cultural processes by which tool kits evolve.

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  2. Contact will have a stronger effect on the tool repertoires of small populations than large populations (2561).Kline, Michelle A. - Population size predicts technological complexity in oceania, 2010 - 8 Variables

    The capacity for cumulative cultural evolution has often been invoked to explain the great diversity of habitats occupied by humans. This theory of cultural evolution emphasizes the gradual accumulation of technologies and cultural practices over many generations, and predicts that larger populations will generate more complex cultural adaptations than smaller, isolated ones. Here, the authors investigate the marine foraging tool repertoires of 10 Oceanic societies to determine whether population size and intergroup contact affect the cultural processes by which tool kits evolve.

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  3. Controlling for resource risk, population size will predict tool kit complexity (p. S390).Collard, Mark - Population size as an explanation for patterns in the paleolithic archaeolog..., 2013 - 3 Variables

    Previous studies have yielded contradictory results on the relationship between population size and cultural evolution. Focusing on tool complexity these authors introduce the risk of resource failure as a possible confounding variable. They conclude that population does not predict tool kit complexity when controlling on other factors. There were significant correlations between tool kit complexity and some of the resource measures.

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  4. 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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  5. ". . . there should be a progression upward in mean community size from hunting-collecting, through fishing and herding, to agricultural communities . . ."Goodenough, Ward H. - Basic economy and community, 1969 - 2 Variables

    This paper examines relationships among mode of production, sedentarism, and population size. Generally, agricultural societies were found to be sedentary and have larger populations, while migratory societies (such as herders or hunters) had smaller population size.

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  6. Net primary productivity is correlated with number of specializations.Ben-Oren, Yotam - Cultural specialization as a double-edged sword: division into specialized g..., 2023 - 2 Variables

    This article presents a model of cultural evolution simulating the accumulation of tools in specialized and non-specialized populations under different demographic and environmental scenarios. The model predicts that the relationship between population size and repertoire size is nonlinear and can differ between non-specialized and specialized populations. For small population sizes, the non-specialized populations maintain knowledge better and therefore reach higher average repertoire sizes. In large populations, specialized populations can reach higher average repertoire sizes. This is because non-specialized population's total repertoire size is limited by the capacity of individuals to accumulate knowledge of different skills, while in specialized populations, each individual needs to know only a fraction of the population's repertoire. However, the model also predicts that specialized populations are more susceptible to information loss due to their subdivision of knowledge, and this can be amplified by demographic and environmental factors. The authors also use ethnographic data to analyze the relationship between population size and degree of craft specialization of societies, and how this may be influenced by ecological factors.

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  7. Risk in subsistence strategies is associated with implement 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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  8. Diversity and complexity of toolkits used by farming and herding groups will be positively associated with risk of resource failure (2).Collard, Mark - Risk of resource failure and toolkit variation in small-scale farmers and he..., 2012 - 11 Variables

    Prior research by Oswalt (1973, 1976) and Torrence (1983, 2001) has suggested that risk of resource failure is a significant predictor of toolkit complexity and diversity among hunter-gatherers. In this paper, the same relationship is tested among small-scale herding and farming groups. However, no significant correlation is discovered between any measure of resource risk and any measure of toolkit complexity. The researchers suggest that this absence may be the result of greater reliance on non-technological diversification methods among farmers (i.e. spatial diversification, mixed farming, intercropping), or of other unaccounted-for sources of risk (i.e. intergroup raiding and warfare).

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  9. Subsistence type, environmental conditions, and spatial distance between societies will all be associated with the distribution of drought-coping strategies.Biagetti, Stefano - Quantitative Analysis of Drought Management Strategies across Ethnographical..., 2021 - 4 Variables

    In this pilot study, the authors investigate the relationships between both subsistence types and environmental conditions, and various coping mechanisms for drought in 35 societies in Africa. Using Canonical Correspondence Analysis (CCA), they find subsistence strategies to have a more significant correlation with the distribution of coping strategies for drought than environmental conditions.

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  10. ". . . hunting-collecting and herding communities should tend to be migratory, with band organization; whereas fishing and agricultural communities should tend to be sedentary, with village organization" (292)Goodenough, Ward H. - Basic economy and community, 1969 - 2 Variables

    This paper examines relationships among mode of production, sedentarism, and population size. Generally, agricultural societies were found to be sedentary and have larger populations, while migratory societies (such as herders or hunters) had smaller population size.

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