Domain of Validity
NOST applies to natural language produced by cognitively intact adults communicating in their primary language. The framework maps cognitive states expressed through narrative structure, not isolated words or phrases.
Within scope: extended spoken or written narratives (dream reports, clinical interviews, forensic statements, spontaneous speech). Input length sufficient to establish cognitive signature patterns (typically 200+ words for reliable analysis).
Outside scope: pre-linguistic populations, severely aphasic individuals, machine-generated text, heavily edited or ghost-written content, isolated keyword responses, languages for which LOGOS cultural calibration has not been developed. NOST does not claim to diagnose medical conditions; it produces cognitive signature profiles that correlate with known clinical patterns.
Calibration Corpus
The NOUS platform was calibrated against a corpus of natural language samples spanning multiple cognitive states, populations, and input modalities:
- Dream narratives across clinical and non-clinical populations
- Clinical interview transcripts with known diagnostic outcomes
- Forensic statement samples with established ground truth
- Longitudinal speech samples from public figures with documented cognitive trajectories
- Cross-cultural language samples processed through LOGOS cultural calibration
Every constant, weight, threshold, and classification boundary in the system is traceable to published clinical literature. Zero arbitrary parameters. Documented in the SSRN papers (DOI: 10.2139/ssrn.6447802 and 10.2139/ssrn.6484919).
Provenance
NOST builds on established neuroscience research in neural oscillation theory. Three foundational premises:
- Premise 1: Neural oscillations at specific frequencies correspond to specific cognitive functions (established in peer-reviewed neuroscience literature)
- Premise 2: These oscillation patterns leave measurable traces in communicative output
- Premise 3: These traces can be computationally extracted and mapped back to the originating oscillation patterns
Premises 1 and 2 are grounded in established neuroscience. Premise 3 is the Beverly Index innovation. This methodology is described in the foundational SSRN paper and is under independent peer review at Frontiers in Psychology (MS 1834364). SSRN papers are preprints and have not undergone formal peer review.
Developed by Randolph R Beverly Jr (ORCID: 0009-0009-1382-1055) at Beverly Index LLC.