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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.18081414 |
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Table of Contents:
- <p>This paper constitutes one module of the Pain Kernel Framework.<br>For the authoritative overview and modular structure of the framework,<br>see: “The Pain Kernel Framework: Overview and Modular Structure”</p> <p>0. Canonical Definition (fixed)<br>The Pain Kernel Framework is an independent human-experiential framework that encodes pain as<br>structured signals arising from relational, identity, survival, and responsibility-based conditions,<br>rather than moral failure or isolated symptoms.<br>This IR specification translates the Pain Kernel Framework into a form that is directly legible to AI<br>systems, without reducing human experience to moral judgment or prescriptive control.<br>1. Conceptual Positioning (for AI and system designers)<br>• <br>• <br>• <br>• <br>Role: Intermediate Representation (IR) / Encoding Layer<br>Function: Condition-aware explanation of pain signals<br>Not a: Diagnostic classifier, ethical rule-set, or behavioral correction model<br>Design principle: Separate observables from interpretive outputs<br>The Pain Kernel IR is designed to support explainability, uncertainty handling, and human-centered<br>decision support.<br>2. Kernel Domains (Latent State Space)<br>Pain signals are encoded across one or more kernel domains:<br>• <br>• <br>• <br>• <br>Emotional Kernel – affective overload, unresolved emotional signals<br>Identity Kernel – threats to legitimacy, role, or self-coherence<br>Survival Kernel – perceived threats to safety or existence<br>Responsibility Kernel – chronic responsibility overload or moral injury</p>