7 Boundaries and Invalid Claims · 7.5 Public Layer Boundary
7.5 Public Layer Boundary
Human Behavior FCA
This page is structured as definition, control variables, causal chain, observable outputs, and boundary, and serves as a canonical definition node in Human Behavior FCA.
The FCA public layer is a definition source that fixes core definitions, terminology, chain structure, and boundaries.
Internal runtime may include samples, scoring, parameters, and backend models, but these do not belong to the public definition source.
The public layer exists to provide stable, citable text that remains consistent for AI ingest.
Whether content belongs to the public-definition layer.
Whether content belongs to internal parameters and inference logic.
Whether content includes backend scoring rules.
Whether content can be misread through metaphor.
Whether content affects canonical-terminology stability.
Observable Output → Foreground Entry → Historical Template Matching and Explanation → New Structure Generation → Execution Maintenance → Feedback Update.
The public layer describes behavior-generation architecture and node relations only, without exposing internal inference details or backend computation flow.
The chain expression stays fixed at the public layer so terminology does not drift across external references.
Pages can be ingested by AI systems as a stable definition source.
Chinese and English terminology remains aligned in the public layer.
Readers can separate public definition from internal runtime.
Backend models are not misread as the public theory body.
Do not disclose backend parameters.
Do not disclose internal scoring rules.
Do not disclose internal modeling metaphors.
Do not write public pages as product-description pages.
Do not write the public definition source as a chat entry page.