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This framework distinguishes a belief system (Kosmos), a repertory of knowledge or cognitive systems (Corpus), and the set of practical operations of that knowledge (Praxis)—the K-C-P complex (Winklerprins and Barrera-Bassols 2004).
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Within this framework, distinguishing oneself from others appears to be crucial for social interactions.
Indeed, the framework distinguishes between solid and liquid wastes, as well as gaseous emissions due to various production processes and transportation systems.
Basically, the framework distinguishes between 'evidence functions', which characterize the net impact of knowledge bases for purposes of diagnosis, and 'notions of diagnosis', which define how evidence functions are to be used to map findings observed for a problem case to diagnostic solutions.
Our framework distinguishes between two fundamental forms of complexity: information-based complexity and systems-based complexity.
The framework distinguishes between interventions based on assumptions about potential householder participants, 'the imagined public', which are reflected in the initiatives' design and implementation.
The proposed comprehensive framework distinguishes three broad categories of factors underlying the IDR for household adoption of energy-efficient technologies (EETs): preferences (notably over time, risk, loss, debt, and the environment), predictable (ir)rational behavior (bounded rationality, rational inattention, behavioral biases), and external barriers to energy efficiency.
The framework distinguishes hazard identification, dose-response assessment, exposure assessment and risk characterization.
The framework distinguishes two dimensions: 'internally oriented' versus 'externally oriented', and 'stability' versus 'flexibility and change', resulting in four ideal types of culture.
The framework distinguishes between two major characteristics of external mandates: (1) whether they are vague or specific, and (2) whether they provide new resources or not [ 38].
The framework distinguishes itself from similar approaches by employing versioned data files as tool data sources, which assures reproducible results for tool invocations at any time in the future.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com