Plausibility Gradients at the Boundary: Coherent Field Conditions, Perception Layers, and the Emergence of Shared Archetypal Experience
Abstract
This paper presents a boundary-based framework for examining recurring human reports of non-ordinary experience using plausibility gradients rather than assertion, belief, or negation. The framework organizes experience into layered domains—perception, perspective, conception, and boundary alignment—and evaluates how coherent environmental, physiological, and electromagnetic conditions correlate with patterned reports across cultures and eras. Rather than assigning truth claims to symbolic figures or narratives, the model focuses on measurable and semi-measurable boundary conditions that appear to support consistent classes of experience. This approach allows scientific measurement, mythological continuity, and first-person phenomenology to be discussed within a shared, non-adversarial structure. plausibility gradient, boundary alignment, coherent fields, perception layers, perspective, conception, archetypal emergence, intersubjective experience, nervous system regulation, parasympathetic tone, theta gamma coupling, electromagnetic coherence, geophysical correlation, environmental patterning, symbolic compression, phenomenology, non-ordinary experience, measurement limits, boundary conditions, coherence theory, neurobiology, geophysics, cultural continuity, mythological patterning, interoception, field stability, sensory integration, archetypal interfaces, spatial clustering, temporal coherence, human perception, consciousness studies, systems theory, embodied cognition, environmental resonance, experiential stability, interpretive restraint, pattern overlay, shared narrative emergence, physiological coherence, atmospheric electricity, tectonic systems, conductive geology, rhythmic fields, boundary modeling, non-assertive analysis, cross-disciplinary framework
Fields of Study & Subjects
Paranormal Experiences and Beliefs
Biofield Effects and Biophysics
Philosophy and Theoretical Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 February 2026