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Information layers
The strict separation between preserved material, extracted facts, calculations, interpretation, hypotheses, and human judgment.
AnankeNet keeps six information layers separate. Each layer has a different source, meaning, and level of certainty.
| Layer | Meaning | Must not be presented as |
|---|---|---|
| Evidence | Preserved source material and its recorded origin | An analytical conclusion |
| Observation | A fact extracted directly from evidence | A probabilistic inference |
| Derived | A value calculated from observations | A source fact |
| Analysis | An explainable signal or relationship | Proof of intent or conduct |
| Hypothesis | A possible explanation requiring review | An established conclusion |
| Human review | An accountable assessment of the record | Automatic ground truth |
Why the distinction matters
A numerical score can appear precise while remaining uncertain. A relationship can be real while its meaning is unknown. A hypothesis can be useful while still being wrong.
The system therefore retains the layer of every important record. Interfaces and exports should make those labels visible rather than blending everything into a single narrative.
Unknown is a valid result
Missing information remains missing. Insufficient information is represented as insufficient. The system should never invent a value simply to complete a record or force a decision.
A model prediction is not an observation. A correlation is not proof. A risk score is not evidence of criminal conduct.