Specimens of human adult bones from Žatec cemetery (11th – 13th century) were investigated for determination of sex by molecular genetic methods. Sequence length difference in amelogenin gene locus on both X and Y chromosomes was chosen for its value in sexing. A modification of the silica method for extraction of aDNA was used. In 94.7% (18 out of 19 specimens) extraction was successful. Obtained data were then confronted with the results given by morphological sexing methods and the concordance of both techniques was 83.3%. This observation can be also taken as an indirect proof of authenticity of extracted aDNA fragments. and Vybrané kostry dospělých jedinců z žateckého pohřebiště (11.–13. století) byly podrobeny molekulárně genetickému určení pohlaví. Pro tyto účely byl zvolen specifický úsek DNA na X i Y chromozomu (80/83 bp) kódující bílkovinu zubní skloviny amelogenin. Extrakce DNA byla provedena pro účely laboratoře upravenou metodou silika. V 94,7 % (18 z 19 koster) se podařilo získat DNA. Výsledky byly dále konfrontovány s určeními zjištěnými morfologickými metodami a konkordance obou technik byla stanovena na 83,3 %. Toto zjištění lze rovněž považovat za nepřímý doklad autenticity DNA izolované ze středověkých kostí.
This article presents a method for computer-assisted text analysis, which has been employed by the author in a number of studies. The inductive methodology is based on a frequency count analysis of the co-occurrence of words; and a visualization of the results of this text analysis in a two dimensional space. The main advantage of this text analysis technique is its potential for (a) exploring large amounts of textual data without any pre-coded or theoretically laden vocabularies or thesauri; and (b) the extraction of discursive patterns often only detectable in an a posteriori expert analysis. An example is used to demonstrate the use of this computer assisted text analysis method through an analysis of the transcripts of biographical interviews exploring life in Czech socialist society. The analysis presented uncovers both shared and distinctive discursive patterns found in the narratives of the interviewees who come from two distinct social groups.
This article presents a method for computer-assisted text analysis, which has been employed by the author in a number of studies. The inductive methodology is based on a frequency count analysis of the co-occurrence of words; and a visualization of the results of this text analysis in a two dimensional space. The main advantage of this text analysis technique is its potential for (a) exploring large amounts of textual data without any pre-coded or theoretically laden vocabularies or thesauri; and (b) the extraction of discursive patterns often only detectable in an a posteriori expert analysis. An example is used to demonstrate the use of this computer assisted text analysis method through an analysis of the transcripts of biographical interviews exploring life in Czech socialist society. The analysis presented uncovers both shared and distinctive discursive patterns found in the narratives of the interviewees who come from two distinct social groups., Martin Hájek., and Obsahuje bibliografii a bibliografické odkazy