Introduction. Of the numerous ceramic production centers of ancient Greece, the Attica region is notable for its continuous development of vase painting styles. Compared to the black-figure and red-figure painting techniques, the polychrome painting of Attic vases on a white-ground may indicate polymorphism in the pigmentation of the ancient Greeks.
Materials and methods. The material was collected in digitized museum collections and thematic literature. The color and nature of the characters' hair were studied from vase painting and funerary painting. Anthroposcopic method and simple statistics were used. The significance of differences between groups was assessed using the chi-square test.
Results and discussion. In all samples of Attic vase painting, the wavy nature of the hair is predominant, and this frequency does not change significantly over time. The highest frequency of straight nature of the hair (13.3%) is observed in white-ground vase painting. In comparison with the characters in vase paintings, modern Greeks have predominantly straight, lightly wavy hair, especially in women, and then wavy hair. For all style groups of Attic vase painting, no gender differences in nature of the hair were identified. The depiction of hair color on white-ground vase paintings of the early classical and classical times is significantly different: in the earlier vase painting, black and dark brown predominate, and in the later ones, brown/light brown and red-brown. The minimum frequency of dark shades of the hair is noted in Hellenistic funerary painting; it shows, like the white-ground vase painting of the classics, a lighter-pigmented population. The hair color of the modern Greek population is predominantly dark. Based on the hypothesis that the artist depicts familiar forms as traditional ones and reflects the anthropological characteristics of his group, the polymorphism of pigmentation and nature of the hair of the ancient and modern Greek populations is different.
Conclusion. Groups of art sources that differ in chronology and style do not represent the hair pigmentation of the population of ancient Greece in the same way. To further study polymorphism of pigmentation of the ancient population, it is necessary to correct the methodology to correlate the actual colors used in vase/mural painting with the hair color classes of the traditional color scale, as well as the use of additional comparative materials.
Introduction.Identifying kinship relationships fr om skeletal remains is among the various objectives of bioarchaeological studies. This article focuses on reviewing the methods used to analyze biological kinship in human fossil populations through non-metric traits.
Methods. Since direct molecular-genetic analysis of kinship is often highly challenging due to the poor preservation of ancient DNA, special attention in such studies is given to nonmetric phenotypic traits.
Results. Research with osteological samples that have been documented provides compelling evidence that the level of morphological similarity between individuals is directly related to their degree of biological kinship. In cases wh ere the pedigrees of osteological materials are fully or partially known, phenotypic data can be effectively used in lieu of genetic information.
Discussion. The methodology developed for kinship analysis depends on the internal spatial structure of the cemetery being studied. When analyzing small burial sites, the aim is to determine if the people buried there are close relatives. Various methods are used in these analyses, including different techniques for determining the likelihood of kinship, cluster analysis, and correlation coefficients. Identifying kinship is most promising in burial sites where archaeological or historical indicators of biological relationships are present. Kinship analysis in spatially structured cemeteries is aimed at identifying families or social groups. The analysis of uniformly distributed cemeteries focuses on identifying closely related individuals in large burials without clearly defined subgroups. This involves spatial correlation analysis, which tests for significant correlation between the matrix of spatial distances and the matrix of phenotypic distances; various counting methods to test for non-random clustering of traits; the nearest neighbor method; and a non-spatial block search procedure that simultaneously identifies presumed relatives and the traits that indicate the degree of their kinship.
Conclusion. Many problems in establishing kinship can be overcome with the availability of skeletal material accompanied by verified genealogical data. Unfortunately, skeletal remains with preserved documentation are quite rare, limiting the opportunities to study the inheritance of non-metric traits and the morphological similarity of biologically related individuals.
