AIM Framework glossary
Scalar-to-Likelihood Lift
Canonical definition
The Scalar-to-Likelihood Lift is Stage 1 of the fast-to-slow coupling map , in which Conscious Cognition constructs a likelihood vector for each representable Hypothesis from the Decision Hub's Scalar . This is the point at which the collapsed Scalar (from which source tags have been destroyed by Common-Currency Integration) re-enters a Hypothesis-indexed representation. Source tags are not recovered; they are reconstructed from priors.
Explanation
When your conscious mind receives the Scalar, the feeling of wanting, it has to figure out why you want it. It does this by asking, for each explanation it can represent (each Hypothesis in the Hypothesis Space), "how likely would I be to feel this degree of wanting if this explanation were true?" The result is a set of likelihood scores, one per Hypothesis. This is the lift: a single number (the Scalar) is expanded back into a multi-dimensional representation (the likelihood vector). The expansion is reconstructive, not recoverable. The true source decomposition was lost at the Decision Hub; what the lift produces is the conscious mind's best guess given its available Hypotheses and priors.
Epistemic status
Framework-Specific Construct. Source: Appendix A.5.6.