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ZENODO
Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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The Pain Kernel Framework (PKF) A Canonical Hub for Identity, Origin, Definition, Positioning, and Structural Architecture (Version 1.1)

Authors: Lee, EunYoung;

The Pain Kernel Framework (PKF) A Canonical Hub for Identity, Origin, Definition, Positioning, and Structural Architecture (Version 1.1)

Abstract

The Pain Kernel Framework (PKF) is an original conceptual framework that defines human pain as a set of kernel-level processing domains operating prior to meaning-making, diagnosis, or ethical judgment. While multiple applied and exploratory works related to PKF have been previously archived, no single document has unified its identity, conceptual origin, canonical definition, structural architecture, positional coordinates, and scope. This manuscript serves as the canonical hub of the Pain Kernel Framework. Version 1.1 expands the original canonical formulation by (1) explicitly positioning PKF among existing biomedical, narrative, trauma, and ethical frameworks; (2) defining PKF as a translational interface between lived human experience and formal interpretive systems; and (3) clarifying its scope and non-scope to prevent conceptual overextension. PKF is not a diagnostic, therapeutic, or ethical system. It is a pre-interpretive substrate that enables coherent translation across clinical medicine, narrative understanding, and human-centered artificial intelligence.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green