'threefold classification' is a correct and usable phrase in written English.
It can usually be used in circumstances where you want to suggest that something has been divided into three distinct categories, for example, "This study used a threefold classification of participants by gender, age, and region."
This threefold classification is not precisely the same as the modern distinction among legislature, executive, and judiciary.
He suggested a threefold classification, the forerunner of several different classifications enumerated from time to time with no visible effect on practice.
This threefold classification can be arrived at by the following line of thought.
Using this threefold classification of statements, MacColl proceeds to distinguish between causal and general implication.
The reader can easily confirm that this natural scheme is also perfectly analogous to the threefold classification we gave above for the alethic modal notions.
Under the threefold classification of the broad grounds of judicial review set out in Council of Civil Service Unions v. Minister for the Civil Service ("the GCHQ case", 1983) – illegality, irrationality and procedural impropriety – an error as to a precedent fact may be regarded as a form of illegality.
In 1977, French zoologist Jean-Jacques Petter also favored the Microcebus classification, despite the threefold size difference between Coquerel's giant mouse lemur and the other members of the genus.
The correct classification rate was 78% (a threefold cross-validation provided a 3.4% uncertainty).
Instead, he redrew Aquinas's classification of the emotions, producing a threefold distinction of emotions directed at good, emotions directed at, or concerned with evil [ad malum], and those that act to combat evil (contra malum).
We empirically performed threefold cross-validation [ 16] to evaluate classification performance.
In this section, we first examine the convergence characteristic of the constructed RVM classifiers and present the classification results for the proposed approach with threefold cross validation on WARD (Section 5.1).
