A State-Based Naturalistic Calibration Framework: Methods and Boundary Analysis of a 48-State Inference System

This working paper serves as an anchor document for the 48-state inference framework, outlining its state ontology, transition logic, and a naturalistic calibration method using real-world interactional cases. The paper is intended to support scholarly dialogue, advisory engagement, and future journal submissions and funded research proposals.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-23
DOI
https://doi.org/10.5281/zenodo.18031140
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

A State-Based Naturalistic Calibration Framework: Methods and Boundary Analysis of a 48-State Inference System

Sincere Ann Ma
Zenodo (CERN European Organization for Nuclear Research)
Mental Health Research Topics
article

A State-Based Naturalistic Calibration Framework: Methods and Boundary Analysis of a 48-State Inference System

Sincere Ann Ma
article en

Abstract

This working paper serves as an anchor document for the 48-state inference framework, outlining its state ontology, transition logic, and a naturalistic calibration method using real-world interactional cases. The paper is intended to support scholarly dialogue, advisory engagement, and future journal submissions and funded research proposals.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 30%
Mental Health Research Topics
DOIOpen Access PDFOpenAlex
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A State-Based Naturalistic Calibration Framework: Methods and Boundary Analysis of a 48-State Inference System — Sincere Ann Ma · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS