| Literature DB >> 27008364 |
Myrtille Guillon1, Ruth Mace1.
Abstract
The classification of kin into structured groups is a diverse phenomenon which is ubiquitous in human culture. For populations which are organized into large agropastoral groupings of sedentary residence but not governed within the context of a centralised state, such as our study sample of 83 historical Bantu-speaking groups of sub-Saharan Africa, cultural kinship norms guide all aspects of everyday life and social organization. Such rules operate in part through the use of differing terminological referential systems of familial organization. Although the cross-cultural study of kinship terminology was foundational in Anthropology, few modern studies have made use of statistical advances to further our sparse understanding of the structuring and diversification of terminological systems of kinship over time. In this study we use Bayesian Markov Chain Monte Carlo methods of phylogenetic comparison to investigate the evolution of Bantu kinship terminology and reconstruct the ancestral state and diversification of cousin terminology in this family of sub-Saharan ethnolinguistic groups. Using a phylogenetic tree of Bantu languages, we then test the prominent hypothesis that structured variation in systems of cousin terminology has co-evolved alongside adaptive change in patterns of descent organization, as well as rules of residence. We find limited support for this hypothesis, and argue that the shaping of systems of kinship terminology is a multifactorial process, concluding with possible avenues of future research.Entities:
Mesh:
Year: 2016 PMID: 27008364 PMCID: PMC4805278 DOI: 10.1371/journal.pone.0147920
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Classic typologies of kinship terminology.
The six typologies created by Murdock, and how kin is referred to in relation to ego in each system.
Fig 2Ancestral state reconstruction of Bantu kinship terminology.
Bantu phylogenetic consensus tree with a state reconstruction of kinship terminological systems, with the mean probability of state illustrated in pie charts at each node of the tree.
Bayes Factor Interpretation, adapted from [69].
| Log Bayes Factor | Interpretation |
|---|---|
| <2 | Weak evidence |
| >2 | Positive evidence |
| 5–10 | Strong evidence |
| >10 | Very strong evidence |
Table for interpretation of Bayes Factor analysis, adapted from [69]. Log BF = 2(log[harmonic mean(complex model)])–log [harmonic mean(simple model)].
Kinship Terminology and Descent Rule Co-Evolution.
| Association | Independent Model | Dependent Model | Bayes Factor |
|---|---|---|---|
| Iroquois + Unilineal | -86.384 | -85.542 | 0.358 (±0.009) |
| Hawaiian + Ambilineal | -53.869 | -46.825 | 3.048 (±0.011) |
| Omaha + Patrilineal | -95.195 | -93.244 | 0.841 (±0.007) |
| Crow + Matrilineal | -74.832 | -74.346 | 0.215 (±0.003) |
The Likelihoods of the independent and dependent model for four cases of the possible co-evolution of kinship terminological systems and rules of descent, tested using Discrete. Statistcial support for the dependent model being significanty more likely than the independent model is measured by a Bayes Factor.
Kinship Terminology and Residential Rule Co-Evolution.
| Association | Independent Model | Dependent Model | Bayes Factor |
|---|---|---|---|
| Iroquois + Unilocal | -79.699 | -79.258 | 0.191 (±0.016) |
| Hawaiian + Ambilocal | -68.622 | -68.127 | 0.215 (±0.003) |
| Omaha + Patrilocal | -91.157 | -87.289 | 1.680 (±0.002) |
| Crow + Matrilocal | -71.248 | -70.324 | 0.401 (±0.004) |
The likelihood of the dependent and independent models for four cases of the possible co-evolution of kinship terminological systems and rules of residence, tested using Discrete. Statistical support for the dependent model being significantly more likely than the independent model is measured by a Bayes Factor.