Found 2216 Hypotheses across 222 Pages (0.005 seconds)
  1. The "exclusivity gain" model (an N-G-K-I trajectory) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  2. The "alternative" model (an N-I-G-K trajectory) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  3. The "unstable group" model (where all transitions are possible, except G can only emerge from N) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  4. The "gain from none" model (where all norms are can emerge from N, but cannot regress) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  5. The "no loss" model (where all transitions to are possible except back to N) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  6. The "kin-group" model (where all transitions are allowed, expect from K) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  7. The "full" model (where all four land tenure norms are transitioned to and from freely) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  8. The "loss for change model" (where there are free transitions to and from all forms of tenure norms with the stipulation that they pass through N) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  9. The "corporate model" (where all transitions are possible, except once K or I arise there can only be changes between them) will best predict the evolution of land tenure norms (314)Kushnick, Geoff - The sequential evolution of land tenure norms, 2014 - 2 Variables

    In this paper, the authors utilize phylogenetic methods to reconstruct the evolution of land tenure norms among 97 Austronesian societies. They coded these norms for each society as none (N), group (G), group-kin (K), and individual (I). After formulating various models of evolution through these various stages, they used Bayesian analysis to determine support for each. They conclude with remarks about this type of evolutionary phylogenetic research as a form of "virtual archeology."

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  10. Subsistence type is positively correlated with type of land tenure system.Moritz, Mark - Comparative Study of Territoriality across Forager Societies, 2020 - 4 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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