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Подходы к классификации научных понятий по уровням абстракции: анализ словарных определений и концептуальных карт
This study examines methods for assessing the levels of abstraction of scientific concepts, which, unlike everyday concepts, often lack explicit representation in daily experience. The aim is to systematise approaches to their classification by abstraction level and develop a method based on concept maps and dictionary definitions. Using a sample of seven experts in statistical data analysis (106 concepts, 71 unique), classification was conducted according to Rosch’s taxonomy using two approaches. The results show that concept maps reveal concept hierarchies, but accuracy depends on map quality, while classification from definitions is more standardised yet limited by lack of context. The identified limitations highlight the need for structured tools for analysing scientific concepts.