'categorization framework' is correct and usable in written English.
You can use it to refer to a system of dividing items into categories and subcategories according to certain criteria. For example, a library might have a categorization framework that divides books into genres such as fiction, nonfiction, and graphic novels.
This illustrates that communicating our categorization framework in the short form we used, was problematic.
By implementing the proposed categorization framework it becomes obvious that problem areas in the building sector are not connected to any specific structural level.
Based on empirical data from 13 innovation projects, the authors introduce a novel categorization framework for innovation projects and discuss the relevance of identified key criteria.
The categorization framework is inspired by theories of sustainable innovation journeys and of soft systems and distinguishes between three decision-levels for barriers to energy efficiency: Project level, Sector level and Contextual level.
The three challenges presented cover all 9 TDF domains where determinants were identified, and should be sufficient to assess the value of TDF as a categorization framework for educational and behavioral needs assessment.
Most of the categorization frameworks for innovation projects in early development phases are not designed for supporting the product engineer in decision making and leave space for further improvement.
Others undertaking stakeholder-based initiatives are encouraged to systematically identify participants based on explicit categorization frameworks.
In the Andersen framework, categorizations were based on hypothesized relationships between independent variables and the use of the HEW at the health post for a sick child.
This paper presents these ideas and how they can be incorporated into the framework for categorization to better classify plant protection products in terms of persistence, bioaccumulation, and toxicity.
This survey discusses clear motivations and advantages of multi-sensor data fusion and particularly focuses on physical activity recognition, aiming at providing a systematic categorization and common comparison framework of the literature, by identifying distinctive properties and parameters affecting data fusion design choices at different levels (data, feature, and decision).
As discussed in Schyns' ([64]; see also Gosselin & Schyns [65]) Diagnostic Recognition framework, any categorization task involves three components of visual information.
