Ecosystem Integration: cc-semantic-language

`cc-semantic-language` is a **TrajectoryOS component** that bridges **embodied motion dynamics** (from Echelon) with **semantic meaning** (for language processing). It implements the **Trajectory-Symbol Alignment Hypothesis**: that the same anticipatory signals that govern motion can govern language semantics. **cc-semantic-language sits at the intersection of:** 1. **Echelon's motion dynamics** (commitment, uncertainty, transition pressure) 2. **TrajectoryOS's semantic memory** (vocabulary, meaning, context) 3. **Python ML training** (model forward passes, ΔZ computation) It translates **motion scalars** into **semantic operators**, enabling language to be understood through the same anticipatory lens as movement. **What**: cc-semantic-language consumes the **7 anticipatory scalars** from `cc-anticipation`: | Scalar | Used For | Operator Mapping | |--------|----------|------------------| | **Stability** | Operator magnitude | `STABILIZE` operator | | **Commitment** | Semantic commitment | `SCALE` operator | | **Transition Pressure** | State change pressure | `SHIFT` operator | | **Uncertainty** | Completion threshold | `CLOSE` operator | | **Novelty** | Deviation from expected | `INVERT` operator | | **Phase Stiffness** | Coupling strength | `BIND` operator | | **Recovery Margin** | Recursive capacity | `REPEAT` operator |