The phrase "abstract classifications" is correct and usable in written English.
It can be used when discussing categories or groupings that are not based on concrete or specific examples, often in academic or theoretical contexts.
Example: "In philosophy, abstract classifications help us understand complex concepts by grouping them into broader categories."
Alternatives: "theoretical categories" or "conceptual classifications".
Thus Whorf seems to require translators and interpreters of non-Indo-European language materials in particular to think about how best to explicate abstract classifications based on grammatical categories and lexical items not found in one of the languages under study.
The author concludes that what this analysis ultimately suggests is that deciding issues of executive war powers requires contextual and pragmatic judgment rather than resort to abstract classifications, whether they are liberal or conservative in character, something that Justice Jackson recognized in his justifiably famous 'Youngstown' concurrence.
But she plays down the idea that abstract classification can enlighten us.
Most are very rare terms present in only one or a few abstracts, and have very little influence on abstract classification as corresponding to either relevant or irrelevant articles.
Concrete and Abstract words were presented multiple times in two concrete-abstract classification experiments.
The classification will be based on a simplified version of the 'Ergonomic Abstracts' classification scheme [ 43, 44].
All obstacles and solutions for RTW were classified according to the ergonomic abstracts classification scheme and the definition of work organization in the National Occupational Research Agenda of the National Institute for Occupational Safety and Health[ 18].
The identified barriers for RTW and the solutions in the work place) intervention charts were classified by two researchers independently, according to the 'Ergonomics Abstracts' classification scheme [ 18].
In previous work (e.g. Kim et al., 2011) on MEDLINE abstract sentence classification, structure information has proved to be a useful feature when it is available.
Several previous approaches have reported promising results when categorizing sentence types in medical abstracts using classification tools [ 5- 8].
Training of a k-NN classifier on 260 abstracts yielded classification accuracy of 0.95, thus showing significant value in support of data extraction from the literature.
