Interpretive fossilization
Interpretive fossilization occurs when a drifted or approximate reconstruction stops behaving like a transient error and becomes a stable public attribute through repetition, indexation, and re-exposure.
The strategic problem is not only the initial mistake. It is the stabilization of that mistake as a durable reference point.
Mechanism
- a first approximation appears in a response or summary;
- the approximation is repeated across prompts, pages, or agents;
- the repeated version becomes easier to retrieve than the canon;
- the distorted version behaves like a default attribute.
Why this matters
Once fossilized, a distortion is harder to dislodge. The cost of correction rises because the issue is no longer a single output but a stable interpretive environment.
Governance implication
Governance must act early: canonical definitions, explicit negations, traceability, and proof of fidelity are not optional niceties. They are anti-fossilization measures.