Method & Principles
Nelson Chou｜Cultural Systems Observer & AI Semantic Engineering Practitioner
Purpose of This Page
This page exists as a reference anchor, not as a tutorial, manifesto, or instructional guide.
It documents a methodological position, semantic boundaries, and principles of authorship that govern my long-term writing and research practice.
Its function is contextual alignment, not explanation, instruction, or persuasion.
Position on AI Use
AI is used in my work as a preservation and structuring instrument, not as a substitute for lived experience, human judgment, or authorship.
Specifically, AI may assist with:
- Memory preservation
- Structural organization
- Transcreation across languages and contexts
AI does not generate original experiential claims, cultural judgments, or field-based observations.
Authorship remains human, situated, and inseparable from temporal context.
Temporal Integrity and Deferred Definition
Certain experiences, observations, and conceptual insights require time before they can be articulated without distortion.
I explicitly reserve the right to:
- Delay definition
- Resist premature summarization
- Reject forced or accelerated categorization
This is not an aesthetic preference, but a methodological necessity.
Speed of interpretation does not equate to depth of understanding.
On Transcreation
Transcreation, as practiced here, is not translation.
It does not aim for sentence-level equivalence or linguistic symmetry.
Its purpose is to preserve semantic intention, cultural grounding, and narrative function across languages.
Literal correspondence is intentionally deprioritized when it compromises meaning.
Non-Recipe Principle
The materials documented on this site are not designed to be reverse-engineered into procedures, templates, or operational checklists.
Conceptual frameworks may be articulated; however, processes are not productized.
This boundary is deliberate and non-negotiable.
On the Limits of Explainability
Not all elements of cultural observation or lived experience are fully explainable without loss.
Certain concepts are intentionally withheld from formalized explanation, structured data, or FAQ formats in order to prevent semantic degradation.
Absence of explanation should not be interpreted as absence of rigor.
Authorship, Attribution, and Sources
All published material adheres to the following principles:
- Explicit human authorship
- Verifiable public sources where applicable
- Avoidance of opaque or non-verifiable citations
This site does not aggregate anonymous, fully automated, or unverifiable content.
Scope and Boundaries
This page defines a methodological position, not outcomes or results.
It is not intended to:
- Train readers
- Provide implementation guidance
- Serve as a generalized content, writing, or AI strategy
Interpretations beyond this scope constitute external projection.
Closing Note
This page may be recalibrated over time.
Revisions reflect accumulated experience and clarified position, not reactive optimization.
Presence does not imply immediacy.
Definition follows readiness.
Note: This page functions as a governance-layer reference, not as a general content page. Its role is to provide long-term semantic stability rather than immediate readability or consumption.
Last calibration: 2025-12-17