立陶宛公制中GDL中央、行政和司法官员的体表方法和数据,1528-1564

IF 0.1 Q4 HISTORY
Tomas Vaitkus
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引用次数: 0

摘要

在数字时代,数据库正成为历史学家更有价值的资源。从抽象的角度来看,立陶宛Metrica作为立陶宛大公国的档案,有迹象表明它是一个庞大的数据库。要掌握如此大量的信息,需要适当的方法。人格学问卷可以让我们从立陶宛Metrica中获取数据点,这对于立陶宛大公国管理机构的研究小组非常有用。例如,在人文学调查问卷的帮助下,我们可以提取有关16世纪在立陶宛大公国服役的军官的具体数据——个人、传记、政治生涯、社会、经济。LM的司法文件、特权和遗嘱是对婚姻状况和社会网络进行分类和重建的重要数据来源。遗嘱还准确地表明死亡日期以及死者的经济资本。军事名单也给我们提供了大量关于一个人的经济和政治影响力的信息。不幸的是,来源的数量和类型是不一致的,研究小组中的许多人在他们的人类学问卷上有“盲点”。这个原因可以部分解决,因为LM中不同类型的源可以提供相似的数据,从而使体位学方法成为与LM一起工作的非常有用的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prosopographical Method and Data of Central, Administrative, and Judicial Officers of the GDL in the Lithuanian Metric, 1528–1564
In the digital age, databases are becoming a much more valuable recource for historians. From the abstract perspective, as an archive of the Grand Duchy of Lithuania, the Lithuanian Metrica has signs indicating that it is a massive database. Appropriate methods are needed to command such a large amount of information. A prosopography questionnaire lets us pick up data points from the Lithuanian Metrica, which is very useful for researching groups of persons from the governing body of the Grand Duchy of Lithuania. For example, with the help of a prosopographical questionnaire, we can extract specific data – personal, biographical, political career, social, economical – regarding officers who served under the Grand Duchy of Lithuania in the sixteenth century. LM’s judicial documents, privileges, and testaments are a great source of data for onomastics and reconstructions of marital statuses and social networks. Testaments also accurately indicate dates of death as well as the economical capital of the deceased. Military lists also give us a massive amount of information regarding the economical and political influence of a person. Unfortunately, the amount of type of sources are inconsistent, and a lot of persons from the researched group have “blind spots” on their prosopographical questionnaires. This reason can be partially resolved, as different types of sources in the LM can provide similar data, and thus make the prosopographical method a very useful tool for working with the LM.
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