Does d-place data explain variability in semantic space similarity?


Read in language semantic distances from ETS.

raw_dists <- read_csv("../../data/processed/pairwise_lang_distances/HD_centroid_distances_all.csv") 

dists <- raw_dists %>%
        mutate(lang1 = colnames(raw_dists)) %>%
        select(lang1, everything()) %>%
        gather("lang2", "dist", -1) %>%
        filter(lang1 != lang2,
               !is.na(dist)) %>%
        rename(semantic_dist = dist)

ggplot(dists, aes(x = semantic_dist)) +
  geom_histogram() +
  ggtitle("Distribution of essay distances") +
  theme_bw()

Cultural measures

DOMAINS <- c("CulturalDistances","Agriculture_and_vegetation", "Basic_actions_and_technology",  "Emotions_and_values", "Kinship", "Law", "Possession", "Religion_and_belief", "Social_and_political_relations", "The_house", "The_physical_world")

There are a 10 different cultural domain distances measures, and one overall measure: CulturalDistances, Agriculture_and_vegetation, Basic_actions_and_technology, Emotions_and_values, Kinship, Law, Possession, Religion_and_belief, Social_and_political_relations, The_house, The_physical_world. The names are a little misleading, however, because they are mapped onto concepticon categories. We have cultural data for 30/36 langauges. The ones missing are: “GER”, “GRE”, “ITA”, “POR”, “RUM”, “FAS”. For several there were not exact matches between the two datasets, and but I mapped them to very similar groups. Below is the correlation between categories.

abbrevs <- read_csv("../../data/processed/ETS_abbrev_to_names.csv")  

cult_dist <- read_csv("../../data/processed/ImputeEACulturalDifferences/results/EA_distances/CulturalDistances_Long.csv")  %>%
  left_join(abbrevs %>% 
              select(ETS_code, EA_language_Name), 
                     by = c("Var1" = "EA_language_Name")) %>%
  rename(lang1 = ETS_code) %>%
   left_join(abbrevs %>% 
              select(ETS_code, EA_language_Name,), 
                     by = c("Var2" = "EA_language_Name")) %>%
  rename(lang2 = ETS_code) %>%
  select(lang1, lang2, value) %>%
  filter(!is.na(lang1) & !is.na(lang2))
get_domain_data <- function(domain, dists){
  path <- paste0("../../data/processed/ImputeEACulturalDifferences/results/EA_distances/", domain, "_long.csv")
  cult_dists_raw <- read_csv(path) %>%
    mutate(domain = domain)
  
  all_cult_dists <- cult_dists_raw  %>%
  left_join(abbrevs %>% 
              select(ETS_code, EA_language_Name), 
                     by = c("Var1" = "EA_language_Name")) %>%
  rename(lang1 = ETS_code) %>%
   left_join(abbrevs %>% 
              select(ETS_code, EA_language_Name,), 
                     by = c("Var2" = "EA_language_Name")) %>%
  rename(lang2 = ETS_code,
         cult_dist = value) %>%
  select(lang1, lang2, cult_dist, domain) %>%
  filter(!is.na(lang1) & !is.na(lang2))
  
    inner_join(dists, all_cult_dists)  %>%
      select(-semantic_dist)
  }

all_cultural_values <- map_df(DOMAINS, get_domain_data, dists)

all_cultural_values_wide <- all_cultural_values %>%
  distinct(lang1, lang2, domain, .keep_all = T) %>%
  spread(domain, cult_dist) 

cultural_corrs <- all_cultural_values_wide %>%
  select(-lang1, -lang2) %>%
  correlate() %>%
  shave(upper = TRUE)

kable(cultural_corrs, digits = 2)
rowname Agriculture_and_vegetation Basic_actions_and_technology CulturalDistances Emotions_and_values Kinship Law Possession Religion_and_belief Social_and_political_relations The_house The_physical_world
Agriculture_and_vegetation NA NA NA NA NA NA NA NA NA NA NA
Basic_actions_and_technology 0.37 NA NA NA NA NA NA NA NA NA NA
CulturalDistances 0.48 0.81 NA NA NA NA NA NA NA NA NA
Emotions_and_values 0.40 0.89 0.80 NA NA NA NA NA NA NA NA
Kinship 0.07 0.50 0.81 0.54 NA NA NA NA NA NA NA
Law 0.55 0.46 0.66 0.48 0.39 NA NA NA NA NA NA
Possession 0.59 0.92 0.89 0.85 0.52 0.60 NA NA NA NA NA
Religion_and_belief 0.47 0.44 0.65 0.59 0.52 0.59 0.54 NA NA NA NA
Social_and_political_relations 0.49 0.59 0.83 0.60 0.55 0.85 0.70 0.55 NA NA NA
The_house 0.17 0.48 0.66 0.48 0.49 0.33 0.51 0.25 0.74 NA NA
The_physical_world 0.35 0.40 0.55 0.41 0.37 0.35 0.43 0.38 0.59 0.67 NA
rplot(cultural_corrs, legend = T) +    
  theme(axis.text.x = element_text(angle = 90, hjust = 1))

Semantic distance and cultural distance correlations

get_domain_corr <- function(domain, dists){
  path <- paste0("../../data/processed/ImputeEACulturalDifferences/results/EA_distances/",domain, "_long.csv")
  cult_dists_raw <- read_csv(path) %>%
    mutate(domain = domain)
  
  all_cult_dists <- cult_dists_raw  %>%
  left_join(abbrevs %>% 
              select(ETS_code, EA_language_Name), 
                     by = c("Var1" = "EA_language_Name")) %>%
  rename(lang1 = ETS_code) %>%
   left_join(abbrevs %>% 
              select(ETS_code, EA_language_Name,), 
                     by = c("Var2" = "EA_language_Name")) %>%
  rename(lang2 = ETS_code,
         cult_dist = value) %>%
  select(lang1, lang2, cult_dist, domain) %>%
  filter(!is.na(lang1) & !is.na(lang2))
  
  #all_cult_dists
  full <- left_join(dists, all_cult_dists) 
  
  tidy(cor.test(full$semantic_dist, full$cult_dist)) %>% 
    mutate(domain = domain) %>%
    select(domain, estimate, statistic, p.value, conf.low, conf.high) 
}

corrs <- map_df(DOMAINS, get_domain_corr, dists)

corrs %>%  
  arrange(-statistic) %>%
  kable()
domain estimate statistic p.value conf.low conf.high
Kinship 0.3881592 8.465677 0.0000000 0.3022537 0.4678104
CulturalDistances 0.3806840 8.274695 0.0000000 0.2942626 0.4609304
Possession 0.3256855 6.923689 0.0000000 0.2358371 0.4100130
Basic_actions_and_technology 0.2974103 6.261192 0.0000000 0.2060507 0.3836298
Law 0.2675399 5.580929 0.0000000 0.1747668 0.3556044
Religion_and_belief 0.2570612 5.346535 0.0000002 0.1638363 0.3457352
Social_and_political_relations 0.2438746 5.054428 0.0000007 0.1501138 0.3332878
Emotions_and_values 0.2030130 4.167291 0.0000377 0.1078196 0.2945177
The_house 0.1315471 2.667243 0.0079551 0.0346672 0.2259777
The_physical_world 0.0892719 1.801537 0.0723638 -0.0081224 0.1849884
Agriculture_and_vegetation 0.0624871 1.258434 0.2089615 -0.0350498 0.1588448
ggplot(corrs, aes(x = reorder(domain, -estimate), y = estimate, color = domain )) +
  geom_pointrange(aes(ymin = conf.low, ymax = conf.high)) +
  ylab("semantics-culture correlation coefficient") +
  xlab("culture measure")+
  theme_bw() +
  theme(legend.position = "none",
        axis.text.x = element_text(angle = 45, hjust = 1))

Overall cultural distance correlation with semantic distance

all_cultural_values_wide_with_dists <- all_cultural_values_wide %>%
  left_join(dists)

ggplot(all_cultural_values_wide_with_dists, aes(x = semantic_dist, y = CulturalDistances)) +
  geom_point() +
  geom_smooth(method = "lm") +
  ggtitle("Overall cultural measure") +
  theme_bw()

Linear models

Predicting semantic distance with cultural distance measures.

“Kinship” (family) and “posession” (Economy-Wealth transactions-Property) account for 17% of the varaiance between essays.

mod1 <- lm(semantic_dist ~ CulturalDistances, all_cultural_values_wide_with_dists)
summary(mod1)
## 
## Call:
## lm(formula = semantic_dist ~ CulturalDistances, data = all_cultural_values_wide_with_dists)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.25383 -0.39624  0.03762  0.41633  0.98958 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)         0.8587     0.1119   7.673 1.27e-13 ***
## CulturalDistances   1.8371     0.2220   8.275 1.89e-15 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.4926 on 404 degrees of freedom
## Multiple R-squared:  0.1449, Adjusted R-squared:  0.1428 
## F-statistic: 68.47 on 1 and 404 DF,  p-value: 1.893e-15
mod2 <- lm(semantic_dist ~ Kinship, all_cultural_values_wide_with_dists)
summary(mod2)
## 
## Call:
## lm(formula = semantic_dist ~ Kinship, data = all_cultural_values_wide_with_dists)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.31101 -0.31472  0.06348  0.38204  1.01224 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   1.0659     0.0858  12.422  < 2e-16 ***
## Kinship       1.3490     0.1593   8.466 4.76e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.4909 on 404 degrees of freedom
## Multiple R-squared:  0.1507, Adjusted R-squared:  0.1486 
## F-statistic: 71.67 on 1 and 404 DF,  p-value: 4.757e-16
mod3 <- lm(semantic_dist ~ Kinship  + Possession, all_cultural_values_wide_with_dists)
summary(mod3)
## 
## Call:
## lm(formula = semantic_dist ~ Kinship + Possession, data = all_cultural_values_wide_with_dists)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -1.28594 -0.35935  0.06883  0.38605  1.02252 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)   0.8684     0.1053   8.249 2.28e-15 ***
## Kinship       1.0420     0.1850   5.634 3.32e-08 ***
## Possession    0.7914     0.2497   3.170  0.00164 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.4855 on 403 degrees of freedom
## Multiple R-squared:  0.1713, Adjusted R-squared:  0.1672 
## F-statistic: 41.66 on 2 and 403 DF,  p-value: < 2.2e-16

Features of kinship and posession

Below are the coded features that go into the kinship and possession distance measures.

eav <- read_csv("../../data/processed/ImputeEACulturalDifferences/EAVariableList.csv")
c2ea <- read_csv("../../data/processed/ImputeEACulturalDifferences/Concepticon_to_EA.csv") %>%
  filter(!is.na(ea))

# this code adapted from ImputeEACulturalDistances/processomg/getDistanceMatrix.R
get_cats <- function(ea, ct, eav){
  cats = strsplit(ea,"-")[[1]]
  eavars = c()
  for(cx in cats){
    eavars = c(eavars,eav[grepl(cx,eav$IndexCategory),]$VarID)
  }
  eavars = unique(eavars)
  
  data.frame(VarID = eavars,
             concepticon_category = ct,
             ea_category = ea)
}

all_cats <- map2_df(c2ea$ea, c2ea$concepticon, get_cats, eav) %>%
  left_join(eav %>% select(VarID, VarTitle, VarDefinition, Source)) %>%
  select(-VarID) %>%
  arrange(concepticon_category)

all_cats %>%
  filter(concepticon_category == "Kinship"|
         concepticon_category == "Possession") %>%
  kable()
concepticon_category ea_category VarTitle VarDefinition Source
Kinship Kinship-Marriage Transactions at marriage: prevailing type Prevailing type of transfer or exchange at marriage. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Transactions at marriage: alternate type Alternative types of transfer or exchange at marriage, or supplementary practices. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Domestic organization The prevailing form of domestic or familial organization. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Marital composition: monogamy and polygamy Marital composition of family units, regardless of whether families live as independent nuclear units or as part of larger extended families. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Marital residence with kin: first years Pattern of marital residence in the first years or so of marriage. The variable “Marital residence with kin: change after first years” indicates whether or not this differs from the pattern of marital residence in later years. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Marital residence with kin: change after first years Indicates whether or not the pattern of marital residence differs in the first years of marriage relative to later years. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Transfer of residence at marriage: prevailing pattern The prevailing pattern of transfer of residence at marriage (note: not in original EA, summarized from variable describing marital residence with kin). Gray (1999)
Kinship Kinship-Marriage Marital residence with kin: prevailing pattern The prevailing profile of marital residence in the society. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Transfer of residence at marriage: alternate Culturally patterned alternatives to, or numerically significant deviations from, the prevailing pattern of transfer of residence at marriage (note: not in original EA, summarized from variable describing marital residence with kin). Gray (1999)
Kinship Kinship-Marriage Marital residence with kin: alternate Culturally patterned alternatives to, or numerically significant deviations from, the prevailing profile of marital residence. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Community marriage organization The prevalence of local endogamy, agamy, and exogamy, together with the presence or absence of localized kin groups. The specific structure of clans, whether ambilocal, matrilocal, or patrilocal, is revealed by the variable describing prevailing patterns of residence with kin. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Organization of clan communities Indicates whether or not societies organized as clan-communities (i.e., where communities represent a single, localized, exogamous kin group or clan) are also segmented into clan barrios. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Largest patrilineal kin group The largest type of patrilineal kin group reported for the society. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Largest patrilineal exogamous group The largest patrilineal kin group characterized by exogamy. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Largest matrilineal kin group The largest type of matrilineal kin group reported for the society. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Largest matrilineal exogamous group The largest matrilineal kin group characterized by exogamy. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Cognatic kin groups The presence or probable absence, and the typology, of cognatic kin groups. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Secondary cognatic kin group: kindreds and ramages The presence or probable absence, and the typology, of secondary cognatic kin groups. This variable highlights societies for which both kindreds (bilateral descent) and ramages (ambilineal descent) are reported. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Cousin marriages permitted The rules or practices governing the marriageability or nonmarriageability of a man’s first cousins and, in some cases, second cousins. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Cousin marriages permitted: subtypes Number of types of cousins (first and/or second cousins) a man is permitted to marry. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Cousin marriages preferred Preferred rather than just permitted marriages to particular first (and/or second) cousins. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Cousin marriages preferred: subtypes Specific type(s) of cousin preferred as spouses. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Kin terms for cousins Extent to which names for cousins distinguish cousin subtypes and/or among other groups of kin. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Descent: major type Major mode of descent (note: not in original EA; derived from variables describing patrilineal and matrilineal kin groups EA017, EA019 and EA021). Gray (1999)
Kinship Kinship-Marriage Political succession: hereditary succession Rules of succession applying to the office of local headman (or a close equivalent), without reference to rules of succession prevailing on higher levels of political integration. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Post-partum sex taboos The normal duration of post-partum sex taboos, i.e., those requiring a lactating mother to refrain from sexual intercourse. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Segregation of adolescent boys Degree and mode of segregating boys at or approaching puberty. Murdock (1962-1971); Gray (1999)
Kinship Kinship-Marriage Norms of premarital sexual behavior of girls Prevailing standards of sex behavior for unmarried women. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Subsistence economy: gathering Dependence on the gathering of wild plants and small land fauna, relative to other subsistence activities. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Subsistence economy: hunting Dependence on hunting, including trapping and fowling, relative to other subsistence activities. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Subsistence economy: fishing Dependence on fishing, including shellfishing and the pursuit of large aquatic animals, relative to other subsistence activities. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Subsistence economy: animal husbandry Dependence on animal husbandry, relative to other subsistence activities. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Subsistence economy: agriculture Dependence on agriculture, relative to other subsistence activities. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Transactions at marriage: prevailing type Prevailing type of transfer or exchange at marriage. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Transactions at marriage: alternate type Alternative types of transfer or exchange at marriage, or supplementary practices. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Agriculture: intensity Intensity of cultivation. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Domestic animals: plow cultivation Indicates whether or not animals are employed in plow cultivation, and whether plow cultivation is aboriginal or dates to the post-contact period. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Domestic animals: milking Indicates whether or not domestic animals milked. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Subsistence economy: dominant activity Dominant mode of subsistence (note: not in original EA; derived from other variables on subsistence and type of agriculture). Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: metal working Specialization by sex in such arts as smelting, casting, and forging, i.e., only those which involve the application of fire. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: weaving Specialization by sex in the manufacture of true cloth on a loom or frame; not including the manufacture of nets, baskets, mats, or nonwoven fabrics like barkcloth or felt. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: leather working Specialization by sex in the dressing of skins, e.g., by tanning; not including the manufacture of artifacts from raw hides or undressed skins. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: pottery making Specialization by sex in the manufacture of earthenware utensils. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: boat building Specialization by sex in the construction of true water craft; not including the making of simple floats, rafts, or the like. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: house construction Specialization by sex in the actual building of a permanent dwelling or the erection of a transportable shelter; not including the acquisition or preliminary preparation of the materials used. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: gathering Specialization by sex in the gathering of wild plants and small land fauna. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: hunting Specialization by sex in hunting, including trapping and fowling. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex Differences: fishing Specialization by sex in fishing, including shellfishing and the pursuit of large aquatic animals. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: animal husbandry Specialization by sex in animal husbandry. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Sex differences: agriculture Specialization by sex in agriculture. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: metal working Age or occupational specialization in such arts as smelting, casting, and forging, i.e., only those which involve the application of fire. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: weaving Age or occupational specialization in the manufacture of true cloth on a loom or frame; not including the manufacture of nets, baskets, mats, or nonwoven fabrics like barkcloth or felt. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: leather working Age or occupational specialization in the dressing of skins, e.g., by tanning; not including the manufacture of artifacts from raw hides or undressed skins. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: pottery making Age or occupational specialization in the manufacture of earthenware utensils. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: boat building Age or occupational specialization in the construction of true water craft; not including the making of simple floats, rafts, or the like. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: house construction Age or occupational specialization in the actual building of a permanent dwelling or the erection of a transportable shelter; not including the acquisition or preliminary preparation of the materials used. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: gathering Age or occupational specialization in the gathering of wild plants and small land fauna. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: hunting Age or occupational specialization in hunting, including trapping and fowling. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: fishing Age or occupational specialization in fishing, including shellfishing and the pursuit of large aquatic animals. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: animal husbandry Age or occupational specialization in animal husbandry. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Age or occupational specialization: agriculture Age or occupational specialization in agriculture. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Class differentiation: primary The degree and type of class differentiation, excluding purely political and religious statuses. See also “Class differentiation: secondary,” as some societies exhibit important features of two different types of class differentation. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Class differentiation: secondary features Secondary type of class differentiation present in the society, excluding purely political and religious statuses. See also “Class differentiation: primary”. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Caste differentiation: primary The degree and type of caste differentiation. See also “Caste differentiation: secondary,” as some societies exhibit important features of two different types of caste differentation. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Caste differentiation: secondary features Secondary type of caste differentiation. See also “Caste differentiation: primary”. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Slavery: type The forms and prevalence of slave status, treated quite independently of both class and caste status. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Slavery: timing Indicates whether slavery present at the time of observation of the society, or only in the past. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Inheritance rule for real property (land) The rule or practice governing the disposition or transmission of a man’s property in land (exclusive of any dower right of his widow). [Note that Murdock (1963a) warned that the codes for this variable had “proved inadequate and in serious need of revision,” and that the coded data “should consequently be used only with circumspection”]. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Inheritance distribution for real property (land) Following the inheritance rule for real property (land), this variable indicates how real property is distributed among several individuals of the same category. [Note that Murdock (1963a) warned that the codes for this variable had “proved inadequate and in serious need of revision,” and that the coded data “should consequently be used only with circumspection”]. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Inheritance rule for movable property The rule or practice governing the disposition or transmission of a man’s movable property (exclusive of any dower right of his widow). [Note that Murdock (1963a) warned that the codes for this variable had “proved inadequate and in serious need of revision,” and that the coded data “should consequently be used only with circumspection”]. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Inheritance distribution for movable property Following the inheritance rule for movable property, this variable indicates how movable property is distributed among several individuals of the same category. [Note that Murdock (1963a) warned that the codes for this variable had “proved inadequate and in serious need of revision,” and that the coded data “should consequently be used only with circumspection”]. Murdock (1962-1971); Gray (1999)
Possession Economy-Wealth transactions-Property Political integration Political integration of the society with neighbouring communities and/or a larger state; this is the version that appeared in Murdock (1957)’s World Ethnographic Sample (WES). Murdock (1957); Gray (1999)

Linguistic distance

We only have wals distances and cultuyral distances for 136 pairs (and even fewer for asjp). But, of those, there’s not much of a correlation betweeb culture and language.

ling_dist <- read_csv("../../data/processed/all_pairwise_dists.csv")  %>%
  select(-hd_dist) %>%
  filter(lang1 != lang2)

all <- all_cultural_values_wide_with_dists %>%
  left_join(ling_dist %>% rename(lang1 = lang2, lang2 = lang1))

ggplot(all, aes(x = CulturalDistances, y = wals_euclidean_dist)) +
  geom_point() +
  geom_smooth(method = "lm")

ggplot(filter(all, CulturalDistances > .2), aes(x = CulturalDistances, y = wals_euclidean_dist)) +
  geom_point() +
  geom_smooth(method = "lm")

ggplot(all, aes(x = CulturalDistances, y = asjp_dist)) +
  geom_point() +
  geom_smooth(method = "lm")

ggplot(filter(all, CulturalDistances > .2), aes(x = CulturalDistances, y = asjp_dist)) +
  geom_point() +
  geom_smooth(method = "lm")

With this subset, cultural difference, but not linguistic difference, is a predictor of semantic distance.

lm(semantic_dist ~ CulturalDistances + wals_euclidean_dist, all) %>%
  summary()
## 
## Call:
## lm(formula = semantic_dist ~ CulturalDistances + wals_euclidean_dist, 
##     data = all)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.92311 -0.25750 -0.01066  0.21856  0.79972 
## 
## Coefficients:
##                       Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          1.208e+00  2.068e-01   5.840 3.81e-08 ***
## CulturalDistances    8.607e-01  3.579e-01   2.405   0.0176 *  
## wals_euclidean_dist -4.535e-05  9.552e-04  -0.047   0.9622    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.3458 on 133 degrees of freedom
##   (270 observations deleted due to missingness)
## Multiple R-squared:  0.04214,    Adjusted R-squared:  0.02774 
## F-statistic: 2.926 on 2 and 133 DF,  p-value: 0.05709