Found 116 Documents across 12 Pages (0.002 seconds)
  1. Uterine vs. agnatic kinship variability and associated cousin marriage preferences: an evolutionary biological analysisFlinn, Mark V. - Natural Selection and Social Behavior: recent research and new theory, 1981 - 4 Hypotheses

    This study discusses many variables that may influence the direction of altruism within a family. Significant relationships were found between paternity certainty, conjugal instability, marital residence, cross-cousin marriage preferences, and direction of altruistic behavior. Special emphasis is placed on the importance of the mother's brother.

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  2. Resource distribution, social competition, and mating patterns in human societiesFlinn, Mark V. - Ecological Aspects of Social Evolution, 1986 - 5 Hypotheses

    This study examines cross-cousin marriage preferences from an evolutionary perspective. Results suggest significant associations between cross-cousin marriage preferences and both polygyny and residence.

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  3. Causes of toolkit variation among hunter-gatherers: a test of four competing hypothesesCollard, Mark - Canadian Journal of Archaeology, 2005 - 4 Hypotheses

    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, mobility or population size?: Drivers of technological richness among contact-period western North American hunter–gatherersCollard, Mark - Philosophical Transactions of The Royal Society B., 2013 - 3 Hypotheses

    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. Risk of resource failure and toolkit variation in small-scale farmers and herdersCollard, Mark - PloS one, 2012 - 1 Hypotheses

    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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  6. Population size as an explanation for patterns in the paleolithic archaeological record: more caution is neededCollard, Mark - Current Anthropology, 2013 - 1 Hypotheses

    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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  7. Correlates of political complexityAbrahamson, Mark - American Sociological Review, 1969 - 3 Hypotheses

    It is suggested that the degree of political complexity is more strongly related to degree of social differentiation than to size and concentration of population.

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  8. Population size and cultural evolution in nonindustrial food-producing societiesCollard, Mark - PLOS ONE, 2013 - 1 Hypotheses

    Seeking to resolve contradictions between previous studies, these authors conduct empirical analysis on the relationship between population size and cultural evolution. Results indicate that population size influences toolkit richness and complexity, even when proxies for risk of resource failure are introduced in the regression model. Authors speculate that the association is weaker for hunter-gatherers because those societies are more affected by risk of resource failure and have institutions that facilitate cultural evolution despite smaller population size. There also may be a threshold effect in the influence of population size on toolkit structure.

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  9. The relationship of child rearing practices to societal "tightness" and "looseness"Hutter, Mark - Journal of Comparative Family Studies, 1972 - 1 Hypotheses

    This paper studies Pelto's (1962, 1968) operational definition for the tightness and looseness of societies in relation to child rearing practices. Results suggest that societies with a "tight" social structure will have child training practices that promote conformity and obedience and vice versa.

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  10. Social risk-management strategies in pastoral systems: a qualitative comparative analysisMoritz, Mark - Cross-Cultural Research, 2011 - 1 Hypotheses

    This article examines the different social risk-management strategies (SRMS) used by pastoralists to minimize their exposure to risks that may affect their livelihood. The authors identify a new type of SRMS, noninstitutionalized SRMS, to the two existing types, exchange networks and patron-client relations. A qualitative comparative analysis (QCA) is used to identify factors which explain the variation in SRMS: livelihood diversification, economic differentiation, political economy, risk exposure, and key economic animal.

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