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Facet Theory and the Mapping Sentence As Hermeneutically Consistent Structured Meta-Ontology and Structured Meta-Mereology

Overview of attention for article published in Frontiers in Psychology, March 2016
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Title
Facet Theory and the Mapping Sentence As Hermeneutically Consistent Structured Meta-Ontology and Structured Meta-Mereology
Published in
Frontiers in Psychology, March 2016
DOI 10.3389/fpsyg.2016.00471
Pubmed ID
Authors

Paul M. W. Hackett

Abstract

When behavior is interpreted in a reliable manner (i.e., robustly across different situations and times) its explained meaning may be seen to possess hermeneutic consistency. In this essay I present an evaluation of the hermeneutic consistency that I propose may be present when the research tool known as the mapping sentence is used to create generic structural ontologies. I also claim that theoretical and empirical validity is a likely result of employing the mapping sentence in research design and interpretation. These claims are non-contentious within the realm of quantitative psychological and behavioral research. However, I extend the scope of both facet theory based research and claims for its structural utility, reliability and validity to philosophical and qualitative investigations. I assert that the hermeneutic consistency of a structural ontology is a product of a structural representation's ontological components and the mereological relationships between these ontological sub-units: the mapping sentence seminally allows for the depiction of such structure.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 38%
Student > Doctoral Student 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 4 25%
Readers by discipline Count As %
Psychology 4 25%
Business, Management and Accounting 3 19%
Computer Science 3 19%
Social Sciences 2 13%
Arts and Humanities 1 6%
Other 4 25%