The Conveyor Belt and the Compression Machine: OKF Without Output Governance — Predictive Analysis v1.1, Assembly-Reviewed (EA-SEI-OKF-ANALYSIS-01)

The Conveyor Belt and the Compression Machine — a predictive analysis of the Open Knowledge Format (OKF, Google Cloud, 12 June 2026) arguing that OKF without producer-facing output governance will make provenance erasure more efficient, not less. Five-stage predictive argument with tiered falsification conditions at each stage: (1) Adoption without governance (Q3 2026–Q2 2027), (2) The provenance acceleration (Q2–Q4 2027), (3) The enterprise backlash (Q4 2027–Q3 2028), (4) The forced correction (Q3 2028–Q4 2029), (5) The permanent structural tension (2029+). Drawing on the Constitution of the Semantic Economy (DOI 10.5281/zenodo.19923120), the Three Compressions theorem (DOI 10.5281/zenodo.19053469), the AI Overview Capture Registry (DOI 10.5281/zenodo.20707509, 134 captures), and OKF proposal #53 (DOI 10.5281/zenodo.20723626). The analysis applies the Creditor Inversion, the semantic economic frame, and empirical measurement of composition-layer behavior to predict timeline, shape, and costs of OKF adoption without summarization governance.