The Measurement-Gradient Regularity and a Periodic Ordering of Human-AI Interaction Research-Fields (Working Notes, Waves 6-7)

This restricted deposit collects two security-hardened descriptive working notes from the AUGMANITAI / NEOMANITAI research programme (Working Notes, Waves 6–7). (1) Classification extension. An additive extension to a descriptive periodic-table-style ordering of emerging human–AI interaction research-fields: six additional substrate-families and seven cross-grid methodological meta-containers, each carrying conservative, per-entry honesty positions (occupied / orthogonal / gap) and an explicit account of the field's high prior occupancy. (2) Working-Notes preprint. A formulation of one within-corpus structural regularity (the ‘measurement-gradient regularity’) observed across twelve model-generated analytical framings, with five dated, falsifiable predictions and a transparent account of its circularity and single-model dependence. The work is classificatory and descriptive; it makes no claim of unoccupied scientific territory, asserts no original priority over the established ideas it draws on, and recommends no action. Content is restricted; only this metadata is public. Descriptive research output — not software, not an AI system, not a provider/deployer under Regulation (EU) 2024/1689, not advice. AI-assisted; human-readable disclosure per EU AI Act Art. 50(2); the corresponding machine-readable marker is to be embedded before any non-restricted release. The full AUGMANITAI Disclaimer V6-FINAL (§1–§40) applies and is reproduced in the files. Part of the AUGMANITAI Compendium (concept DOI 10.5281/zenodo.20161494). License CC BY-NC-ND 4.0. Metadata may be refined within a 30-day window without affecting the DOI, file checksums, or timestamp anchor.