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Theory and Analysis of Kinship Networks Rural Classes in Slovenian Austria

Theory and Analysis of Kinship Networks Rural Classes in Slovenian Austria Javanese Muslim Village Elites Reciprocal Exchange and Equality in South India Middle Eastern segmented lineage systems Historical continuities: Women in the Old Testament

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Theory and Analysis of Kinship Networks Rural Classes in Slovenian Austria

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  1. Theory and Analysis of Kinship Networks Rural Classes in Slovenian Austria Javanese Muslim Village Elites Reciprocal Exchange and Equality in South India Middle Eastern segmented lineage systems Historical continuities: Women in the Old Testament With a focus on Predictive Cohesion Theory and Structural Endogamy Doug White Anthropological Seminar Hamburg University, June 20, 2005 Halle MPI in Social Anthropology, June 27, 2005

  2. Outline of the talk (59 slides) • I. network theory of kinship • A. Predictive cohesion theory (PCT) • Structural cohesion – 4 slides • Applying predictive cohesion theory (PCT) to kinship – 1 slide • B. Marriage Census graph analysis – 1 slide • C. Defining the phenomena of endogamy - 3 slides • II. kinship structure and cognition • A. Defining the phenomena of endogamy – 1 slide • B. Data and representation - 3 slides • C. Relational thinking: parental graph as a relational representation - 3 slides • D. Identifying marriage rules and strategies: controlled demographic simulation - 3 slides • III. ethnographicexamples • 1 Slovene Farmers of Feistritz, Austria – How class is counted - 11 slides • 2 Dukuh Hamlet Javanese Muslim Village Elites – Are we elites different? - 2 slides • 3 Pul Eliyan Kinship in Sri Lanka – What ‘side’ are you on? - 7 slides • 4 Aydĭnlĭ Turkish Nomad Clan – What is our ‘group’? Are we from the same ‘root’? - 10 slides  and one on links to complexity theory / one on historical continuity

  3. Exploratory Social_Network Analysis with Pajek Programs & Availability PAJEK • PAJEK reads genealogical datasets (*.ged files) both the usual Ego format and in parental graph format, with dotted female lines (p Dots) and solid male lines. • PAJEK Network/Partition/Components/Bicomponent computes structural endogamy in a parental graph • PAJEK Network/Partition/Depth/Genealogy computes genealogical depth. This enabled 2D or 3D drawings of kinship networks. • Manuals for p-graph kinship analysis and discussions of software programs & multimedia representations are contained in • 1) “Analyzing Large Kinship and Marriage Networks with pgraph and Pajek,” Social Science Computer Review 17(3):245-274. 1999. Douglas R. White, Vladimir Batagelj & Andrej Mrvar. • 2) http://eclectic.ss.uci.edu/pgraph • 3) http://vlado.fmf.uni-lj.si/pub/networks/pajek • 4) book by de Nooy, Batagelj and Mrvar, 2005 Exploratory Social Network Analysis with Pajek Cambridge University Press

  4. I. Network Theory of Kinship • Cohesion in human groups is built up through social ties. • There is a specific network measure of structural cohesion. • For kinship this measure takes the form of structural endogamy. • Predictive cohesion theory (PCT) predicts that structural cohesion (and structural endogamy as a special case) has similar consequences across different historical and ethnographic contexts.

  5. A. Predictive cohesion theory (PCT) • The measure of structural cohesion (and structural endogamy) applies from small groups to large communities (scalability) • General consequences of structural cohesion: • Internal bonds strong (multiconnectivity) • Resistance to external shock (robustness) • Adaptive (Multiconnectivity+Robustness=resilience) • Structurally cohesive groups possess definite lines of boundedness in social networks.

  6. A1. Structurally cohesive groups predict: • Coherent boundaries of interaction • Emergence of shared routines, meanings • Greater cultural coherence:- Boundaries of: • Ethnicities • Class (in terms of Social v. Economic ties) • Communities • Kinship groups • Conversely, cohesive fissures within more loosely connected groups predict: • Fracturation, splitting of the above • Organizational differentiation

  7. Structurally cohesive blocks in social networks have predictable consequences • sociological uses of this approach are discussed in • White, Douglas R. and Frank Harary. 2001. "The Cohesiveness of Blocks in Social Networks: Connectivity and Conditional Density." Sociological Methodology 2001, vol. 31(1), pp. 305-359. • Moody, James, and Douglas R. White. 2003. “Structural Cohesion and Embeddedness: A Hierarchical Concept of Social Groups.” American Sociological Review 68(1):103-127. http://www.asanet.org/journals/ASRFeb03MoodyWhite.pdf Powell, Walter W., Douglas R. White, Kenneth W. Koput and Jason Owen-Smith. 2005. “The Growth of Interorganizational Collaboration in the Life Sciences.” American Journal of Sociology 110(4):1132-1205. http://www.journals.uchicago.edu/AJS/journal/issues/v110n4/080171/080171.html http://www.journals.uchicago.edu/AJS/journal/contents/v110n4.html

  8. Aging effects in structurally cohesive groups • Newly emergent cohesion generates solidarity • Political and military esprit-de-corps • Ability to wage battles, fight empires, expand • Mobilization of political parties • Institutional aging of cohesion atrophies • Organizational differentiation, splitting • Conflict among differentiated interests groups • Lowered popular support for governing institutions (see Peter Turchin 2003, Historical Dynamics, CUP)

  9. Organizational features of structurally cohesive groups • Cohesion is generated by local action of reknitting ties. • Once reknitting occurs, people have multiconnectivity. • This means they have multiple paths connecting them. • A reknitting action is one that creates multiple paths. • Thus it creates one or more identifiable cycles. • Such cycles differ by the types of relation forming them • The study of cohesive actions thus focuses on • A census of types of cycles. • An analysis of rules, preferences, or simulated randomness that would predict the cycles that account for cohesion.

  10. A2. Applying predictive cohesion theory (PCT) to kinship Reknitting kin ties correspond to relinking marriages • Closing a loop between 2-, 3-, 4- families, affines • Between blood kin, 2-, 3- 4- degree consanguines A marriage census • Rank orders the frequencies of relinkings of both types • Examines which types tend to co-occur • The results will show either • With blood marriages, a preferential ranking • With affinal marriages, a preferential ranking • Entailments of types (see White 2005, Hamberger et al 2005)

  11. B. Marriage Census Graph Analysis All the types of relinking marriages are shown • Closing a loop between 2-, 3-, 4- families, affines • Between blood kin, 2-, 3- 4- degree consanguines Census graphs show • frequencies of each type (nodes, their sizes) • frequencies of overlaps of types (thickness of edges) • The second-order organization of marriages • Entailments of types • Something of the logic and redundancies of kinship • And a third-order analysis includes individuals and so can be related to spatial distribution, occupation, etc. (see White 2005, Hamberger et al 2005)

  12. Some Findings, 1: general theory • Cohesive communities with many blood marriages have preference orderings over the whole series of marriage types, with implications for self-organizing or reciprocity based systems • Cohesive communities with few blood marriages have preference orderings over the whole series of affinal marriage types • In the first case are there no preference orderings on affinal types as in the second case.

  13. Some Findings, 2: kinship systems • Network findings map onto but vastly increase our sensitivity to the distribution of different types of marriage systems • E.g., the frequency of reciprocal dual organization in marriage networks is probably an order of magnitude greater than identified by hereditary moieties. • Kinship systems with navigability of strong ties between groups through reciprocal marriage is a possibility not identified previously in the kinship literature. This may also occur in cases like Russia or Baltic states and in Central Asia, and is widespread in Arabized countries.

  14. II. kinship structure and cognition This section focuses on • Kinship Structure: defining and measuring • structural cohesion / structural endogamy • cohesive embedding • Kinship Cognition

  15. A. Defining the phenomena of endogamy • Endogamy is marriage within the limits of a clan, class, caste, etc., with relative degrees of closure varying inversely with those marrying out. • Possible definitons: • By categories/attributes: • suffers from problems of specification error • By network relinking: • a generalized phenomena of structural endogamyas blocks of generalized relinking (a special case of network cohesion) with: • Subblocks of relinkings of k families, with varying depth in generations • Subblocks of consanguinal (blood) within-family marriage (relinkings for k=1) • In each case, every member couple in a block is parentally linked in two or more ways to every other (ignoring sibling ties)

  16. B. Data and Representation:How to construct kinship networks for analysis • To analyze large-scale kinship networks, we need a generalizable graph representation of kinship networks. • Problems: • Cultural definitions of “kin” lead to cross-cultural ambiguity • Therefor to study how cohesion is created, take only ‘primary’ relations (marriage, descent) against those ‘implied’ (siblings, cousins, etc.) by parental networks • (the implied relations may differ in their cultural meanings, appropriate terminology and behavior)

  17. Data and Representation:Building Kinship Networks The traditional representation is a genealogical kinship graph • Individuals are nodes • Males and females have different shapes • Edges are of two forms: • Marriage (usually a horizontal, double line) • Descent (vertical single line) • Has a western bias toward individuals as the key actor • Not a valid network, since edges emerge from dyads • Better solution is the parental graph

  18. Treating individuals as lines • Here: one blue line per female circle and one red line per male triangle • From lines of different type for different genders we can read off: a FaSiDa marriage Data and Representation:Building Kinship Networks parental graphs link pairs of parents (flexible & culturally defined) to their descendants parental graphs are constructed by: • Treating couples as nodes, replacing • marriage bonds with nodes

  19. Data and Representation:Building Kinship Networks parental graphs link pairs of parents (flexible & culturally defined) to their descendents parental graphs can be constructed from standard genealogical data files (.GED), using PAJEK and a number of other programs. See:http://eclectic.ss.uci.edu/~drwhite for guides as to web-site availability with documentation (& multimedia representations) FaSi + Fa FaSiDa MaleEgo Here: one blue line per female and one red line per male: hence we can visually identify the FaSiDa marriage

  20. Data and Representation:Relating parental graphs to endogamy • Cycles in parental graphs are direct markers for endogamy, and satisfy the elementary requirements for theories of kinship-based alliances (Levi-Strauss 1969, Bourdieu 1976): • Circuits in the parental graph are isomorphic with one or more of: • Blood Marriage Relinking, where two persons of common ancestry from a new union • Redoubling, where unions linking two co-ancestral lines are redoubled • Affinal Relinking, where two or more intermarried co-ancestral lines are relinked by a new union • These can be subsumed as subtypes of marital relinking

  21. 4 a parental graph genealogies become 4 3 2 2 3 1 1 C. Relational Thinking: parental graphs as a relational representation Showing how couples are related, e.g., by sex and rank, makes it easier to see patterns of relations. Conventional genealogical diagrams emphasize the categorical treatment of sibling sets. Douglas R. White and Paul Jorion. 1992 “Representing and Analyzing Kinship: A Network Approach.” Current Anthropology33:454-462. 1996 “Kinship Networks and Discrete Structure Theory: Applications and Implications.” Social Networks18:267-314. Douglas R. White, Vladimir Batagelj and Andrej Mrvar. 1999. “Analyzing Large Kinship and Marriage Networks with Pgraph and Pajek,” Social Science Computer Review 17(3):245-274.

  22. Defining endogamy relationally • Categorical attributes for endogamy: • suffer from problems of specification error • Structural endogamy is relational: • It consists of blocks of relinkings: • blocks of blood marriage as same-family relinking • blocks of k-family relinkings, with depth g generations • network cohesion is the more general concept 4 male lines female lines 3 2 • parental graphs identify relinkings as cycles • maximal blocks of cycles define limits of structural endogamy (bicomponents: sets of nodes where every pair is linked by two ore more node-independent paths). These are relational patterns of cohesion grouping that people recognize intuitively. 1

  23. People Think Relationally in Kinship Practice • Integrative concepts: e.g., how ‘cognition’ uses networks in mental operations (‘memory’) • Network approaches to learn how people think (preference, cognition) from their behavior • Simulation: provides baselines for this purpose • How people ‘count’ on each other - examples • Slovene Farmers of Feistritz, Austria – How class is counted • Dukuh Hamlet and Javanese Muslim Village Elites – Are we different? • Pul Eliyan Kinship in Sri Lanka – What ‘side’ are you on? • Aydĭnlĭ Turkish Nomad Clan – What is our ‘group’? Are we from the same ‘root’?

  24. D. Identifying marriage rules and strategies relationally: controlled demographic simulation in a science of social structure and dynamics that includes marriage and kinship, how to • define and evaluate marriage strategies against random baselines? • separate ‘randomizing’ strategy from ‘preferential’ strategy? • detect atomistic strategies (partial, selective) as well as global or “elementary” marriage-rules or strategies? • detect changes in marriage rules or strategies? D. White. 1997. Structural Endogamy and the graphe de parenté. Mathématique, informatique et sciences humaines 137:107-125. Paris: Ecole des Hautes Etudes en Sciences Sociales D. White. 1999. “Controlled Simulation of Marriage Systems.” Journal of Artificial Societies and Social Simulation 3(2). http://www.soc.surrey.ac.uk/2/3/5/JASSS.html See: http://eclectic.ss.uci.edu/~drwhite

  25. the simulation technique is simple: In each generation of marriages in an actual parental graph – • number the set K of marriages 1 to k • Reassign each person married into the generation to a random marriage in K, allowing additional rules to prevent incest as defined culturally • But don’t change the parents: that keeps each sibling set intact (all this is done automatically by the Pgraph software) This gives a simulated dataset that has the same numbers of people and of marriages, the same distribution of sibling sets, hence the same sex ratio in each generation, etc.

  26. applications of the simulation method to study structural endogamy pertain to: • Social class, • Elite structural endogamy, • Wealth consolidation, • Community/ethnic integration, • Testing alliance, descent, and proscriptive theories and models … in the examples to follow

  27. Hypothesis testing We can use various permutation-based procedures to test the observed level of endogamy against a data-realistic random baseline. The substantive marker for endogamic effectiveness is whether the level of endogamy is greater than expected by chance given the genealogical depth of the graph 1997 Structural Endogamy and the graphe de parenté. Mathématique, Informatique et sciences humaines 137:107-125. Paris: Ecole des Hautes Etudes en Sciences Sociales

  28. E. How people ‘count’ on each other - Case Study examples • Social class and structural endogamy in the Austrian village of Feistritz: Strategic ‘counting’ of relinked kin (w/ Lilyan Brudner 1997) • Status endogamy in a Javanese village (Dukuh hamlet and Muslim) elites (w/ Thomas Schweizer 1998): ‘discounting’ differences in marriage frequencies (they are governed by demographic constraints, not by different consanguineal marriage preferences) • Dual organization in Sri Lanka: Preferred marriages and sidedness in Pul Eliya: ‘counting’ sides (w/ Michael Houseman 1998) • Clan Organization among Turkish Nomads: ‘counting’ on shifting and groups with sliding scales of integration (w/ Ulla Johansen 2005)

  29. III. Ethnographic examples Case 1: illustrating kinship and cognition (Carinthian Farmers)

  30. Applications of Structural Endogamy Social Class • Social class as “a general way of life, a sub-culture, tends to be hereditary because (a) individuals from the same sub-culture tend to intermarry, and (b) parents bring up their children to imitate themselves.” (Leach, 1970). • If we were to examine the extent to which particular social class formations were concomitant with structural endogamy, we would expect that: • Families involved would know "good families“ and "suitable matches,” • not all children of the class would be "required" to marry within the class, but social class inscription would take place through the diffuse agency of relinking by marriage, • which could both validate the social standing of the individual and constitute the diffuse but relinked social unit -- endogamic block -- of class formation.

  31. Applications of Structural Endogamy Social Class: Carinthian Farmers “Class is rooted in relations to property, but the holding of property is particularistic, bound by social relations that channel its inheritance within particular sets of personal biographies, such as those linked by kinship and marriage. As property flows through a social network, its biography unfolds as a history of the transfer from person to person or group to group.” (p.162) Institutions (such as class), emerge out of the networked actions and choices devolving in turn in specific and changing historical context. A duality of persons and property, each linked through the others, characterizes the class system. Source: 1997 “Class, Property and Structural Endogamy: Visualizing Networked Histories,” Theory and Society 25:161-208. Lilyan Brudner and Douglas White

  32. Applications of Structural Endogamy Social Class: Carinthian Farmers • Empirical setting: Inheritance of property among families in an Austrian Village • Background: In the Austrian farming valleys of southern Carinthia, the perpetuation of Slovenian ethnicities and Windisch dialects has been associated with heirship of farmsteads. Unlike many rural areas (and as predicted by Weber and others), farms tended to be inherited complete (i.e., impartable), without the kind of splitting that fractures property and reduces average class wealth. • Main hypothesis: That two social classes emerged historically in this village and have long remained distinct as a product of differential marriage strategies. • The mechanism for keeping land intact is that a structurally endogamous farmstead-owner social class emerged from marriages that relinked stem family or heirship lines that were already intermarried. The relinked couples inheriting farmsteads recombined primary heirships with secondary quitclaim land parcels allowing stability in reconstituting “impartible-core” farmsteads. Source: 1997 “Class, Property and Structural Endogamy: Visualizing Networked Histories,” Theory and Society 25:161-208. Lilyan Brudner and Douglas White

  33. Applications of Structural Endogamy Social Class: Carinthian Farmers • Data: • Extensive field work • Archival: Records of farmstead transfers starting in the 16th century • Genealogical histories on families collected by Brudner • Supplemented from data collected by White from gravestones and church records • Facts about the setting: • Village population has been (relatively) stable from 1759 – 1961, fluctuating between 618 (1923) to 720 (1821) • Most transfers are through inheritance, but the data includes purchases as well. • Daughters tend to move to their husbands house of residence • Purchase of farmsteads for sons is common, but rare for daughters • Daughters tend to bring a land dowry to a marriage Source: 1997 “Class, Property and Structural Endogamy: Visualizing Networked Histories,” Theory and Society 25:161-208. Lilyan Brudner and Douglas White

  34. Example 1: Carinthian Farmers Cognitive question – How is class ‘counted’?The idea of family ‘circles’ • Graphic technique:showed households as a macro-unit of analysis, containing successive nuclear or stem families as nodes in the graph. • Key concepts: marital relinking, parental graph (where nodes are marriages and lines are filiation), structural endogamy, bicomponent of the parental graph defines endogamous boundary (in those case, of social class). • Predicted social class and heirship among farmers from the cohesive set of marriages in the farming valley (non heirs did not enter in the kinship bicomponent) • Idea was to show that the marriage choices were among close sets of known relatives, and occurred with far greater frequency that expected by change, even given the avoidance of cousin marriage as a rule.

  35. Mountains and Alms Church Our idea here was to follow the kinship and marriage links not only between people but the stemline households with impartible inheritance of farmsteads and fields Farmsteads and Fields

  36. The stemline social class of farmstead inheritors, 1510-1980

  37. Applications of Structural Endogamy Social Class: Carinthian Farmers Within the red circles are bicomponents with 2-family relinkings, the simplest affinal relinking. The bicomponents are connected into a single kinship core.

  38. TIME Pgraph software; parental graph representation: these are the heirs and families that are maritally relinked

  39. Applications of Structural Endogamy Social Class: Carinthian Farmers Here the relinking couples are correlated with the social class of farmstead heirs (r=.54, p=.000000001); if adjusted for types of missing data, the correlation is much higher Source: 1997 “Class, Property and Structural Endogamy: Visualizing Networked Histories,” Theory and Society 25:161-208. Lilyan Brudner and Douglas White

  40. Structural Endogamy among known relatives Social Class: Carinthian Farmers of Feistritz: Comparison of Relinking Frequencies for Actual and Simulated Data (*=actual frequencies greater than chance as determined by simulation) Statistical conclusion: conscious relinking among families creates structural endogamy Source: 1997 “Class, Property and Structural Endogamy: Visualizing Networked Histories,” Theory and Society 25:161-208. Lilyan Brudner and Douglas White

  41. Case 2: Muslim elites in Southeastern Java

  42. Example 2: Rural Javanese Elites - Are we elites different than others? • Graphic technique:nuclear families as the unit of parental graph analysis, additional arrows for property flows (used in the publication) showed extended family rules for partitioning of mercantile resources and property of groups constituted by relinking. • Key concepts: blood marriage as a form ofmarital relinking, parental graph, structural endogamy, bicomponent of the parental graph, the social biography of things (property flows). • Showed (1) apparent differences in marriage patterns of elites and commoners were due to a common cultural practice of status endogamy, which for elites implied a set of potential mates whose smaller size implied marriage among blood relatives within a few generations, (2) given a common rule of division of inheritance, closer marital relinkings among elites facilitated the reconsolid-ation of wealth within extended families, and (3) extended families so constituted operated with a definite set of rules for the division of productive resources so as to distribute access to mercantile as well as landed resources. Douglas White and Thomas Schweizer, 1998 “Kinship, Property and Stratification in Rural Java: A Network Analysis” pp. 36-58 inSchweizer and White, eds. Kinship, Networks, and Exchange. Cambridge Univ. Press.

  43. STATUS ENDOGAMY in a Javanese Village (Dukuh Hamlet, Muslim Elites), Test of Actual versus Simulated Marriage among Consanguineal Kin key: A = frequency of actual marriages with a given type of relative B = frequency of simulated random marriages with a given type of relative TA = total of actual relatives of this type TS = total of simulated relatives of this type Javanese elites Dukuh Hamlet 3-Way Test A S TA TS p= type A S TA TS p= type 1: 1 0 4 3 .625 FBD 0 1 9 12 .591 FBD p=1.0 2: 1 2 2 3 .714 MBD 1 0 11 16 .429 MBD p=1.0 3: 2 1 3 2 .714 FZDD 0 0 11 0 FZDD p=1.0 4: 0 1 6 7 .571 ZD 0 0 18 24 ZD p=1.0 0 0 11 11 Z 0 0 36 43 Z 0 0 4 4 BD 0 0 22 27 BD 0 0 2 2 ZSD 0 0 3 3 BDD 0 0 8 8 BDD 0 0 3 3 ZDD 0 0 4 4 FZ 0 0 21 27 FZ 0 0 1 1 FZSD 0 0 3 3 FZD 0 0 13 14 FZD 0 0 3 3 FBDD 0 0 3 2 FBDD 0 0 5 4 MZ 0 0 18 23 MZ 0 0 2 2 MZSD 0 0 4 4 MZD 0 0 13 14 MZD 0 0 1 2 MBDD 0 0 6 5 MBDD 0 0 2 3 MZDD Statistical conclusion: there are no preferred marriages among elites beyond status endogamy, although blood marriages are common Hence: the same system of marriage rules operates for elites as for commoners

  44. Case 3 illustrating kinship and cognition (Pul Eliya, Sri Lanka)

  45. Example 3: Kandyan Irrigation Farmers in Sri Lanka – What ‘side’ are you on? • Graphic technique:nuclear families as the unit of parental graph analysis, analysis of blood marriages, sibling sets and of inheritance or bequests revealed an underlying logic of marital sidedness. • Key concepts: bipartite graphandsidedness(empirical bipartition of a matrimonial network, reiterated from one generation to another following a sexual criterion). • “This remarkable work, among other merits, has that of reconstituting the near-totality of the data of Leach’s study of Pul Eliya, reexamined by means of the PGRAPH program. It reveals that Leach had not seen, and could not for lack of requisite tools of analysis, that marriages were organized in response to a logic that the authors call dividedness and in another form sidedness: invisible to the untrained eye, the matrimonial network is bipartite, the marriages of the parents and those of the children divide themselves into two distinct ensembles (which have nothing to do with moieties)” (review by Georg Augustins, L’Homme 2000) Michael Houseman and Douglas White. 1998 “Network Mediation of Exchange Structures: Ambilateral Sidedness and Property Flows in Pul Eliya, Sri Lanka” pp. 59-89 inSchweizer and White, eds. Kinship, Networks, and Exchange. Cambridge Univ. Press.

  46. Applications of Structural Endogamy Social Integration through Marriage Systems: Kandyan Irrigation Farmers in Sri Lanka Empirical Setting: An immensely detailed network ethnography by Sir Edmund Leach demonstrates how kinship relations are strategically constructed through matrimonial alliances that alter the flow of inheritance of land and water rights by deviating from normal agnatic (father’s-side) rights to property and emphasizing the secondary rights of daughters, with expectation that property alienated through marriage will flow back to the agnatic group through the completion of elaborate marriage exchanges between the two “sides” of the kindred. Key question: Is there a hidden order of marital practices that links to the two-sidedness of kinship terminology and Leach’s earlier findings about balanced and reciprocated exchanges? Data: genealogies, inheritances, classifications of normal and exceptional residence practices and of normal and exceptional types of marriage. Source: 1998 “Network Mediation of Exchange Structures: Ambilateral Sidedness and Property Flows in Pul Eliya, Sri Lanka” (Houseman and White). pp. 59-89, In, Thomas Schweizer and drw, eds. Kinship, Networks, and Exchange. CUP.

  47. parental graph of Pul Eliyan Sidedness

  48. Marriage sides in Pul Eliya, with compound IDs for males, (this slide was made with Pajek, output for web viewing) red lines forfemales

  49. parental graph of Pul Eliyan Sidedness Curved lines follow property flows, dashed lines are gifts. Property re-connects across the sided lines.

  50. Frequencies of Actual versus Simulated Consanguineal Marriages for Pul Eliya, Sri Lanka, conclusions: (1) MBD is a preferred marriage (2) All blood marriages are patri-sided Type Actual Simul Total Total Fisher|-----Blood Marriage------| (2)Patri-Sided? of Mar. Freq. Freq. Actual Simul Exact type parental graph notation Actual Simulation 12: 5 0 40 38 p=.042 MBD(1)GF=FG yes 2: 3 1 39 40 .317 FZD GG=FF yes 1: 0 1 56 57 .508 FZ GG=F no 3: 0 1 6 6 .538 FFFZDSD GGGG=FGFF no 4: 1 0 3 1 .800 FFMZDSSD GGGF=FGGFF yes 5: 0 1 5 3 .444 FFMBDSDD GGGF=FFGFG no 6: 1 0 18 15 .558 FMBSD GGF=FGG yes 7: 0 1 17 12 .433 FMBDD GGF=FFG no 8: 2 1 18 12 .661 FMZDD GGF=FFF yes 9: 0 1 9 5 .399 FMMBSSD GGFF=FGGG no 10: 0 1 4 5 .600 FMMFZSSD GGFFG=FGGF yes 11: 0 1 6 3 .400 FMMFZDSD GGFFG=FGFF yes 13: 0 1 25 27 .528 MBSD GF=FGG yes 14: 1 0 14 10 .600 MFZDD GFG=FFF yes 15: 1 0 7 3 .727 MFFZDSSD GFGG=FGGFF yes 16: 1 0 8 4 .692 MFFZDSD GFGG=FGFF yes 17: 1 0 8 2 .818 MFMBDSSD GFGF=FGGFG yes 18: 1 0 9 3 .769 MFMBDD GFGF=FFG yes 19: 1 0 3 0 1.000 MFMBDDDD GFGF=FFFFG yes 20: 1 0 8 2 .818 MFMFZSSD GFGFG=FGGF yes 21: 1 0 3 0 1.000 MFMFZDDD GFGFG=FFFF yes 22: 1 0 13 8 .636 MMZSSD GFF=FGGF yes 23: 1 0 15 13 .551 MMBDD GFF=FFG yes 24: 0 1 11 5 .352 MMZSDD GFF=FFGF no 25: 0 1 11 5 .352 MMBDDD GFF=FFFG no 26: 1 0 11 4 .749 MMZDDD GFF=FFFF yes Correlating Actual versus Simulated non-MBD marriages for Pul Eliya, showing tendency towards a Patri-Sided (Dravidian) Marriage Rule Patri-Sided Unsided Actual 18 0 Simulated 5 7 p=.0004 p=.000004 using the binomial test of an expected 50:50 split)

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