DEBA (Determinists Emergence By Actualization - Organizational Coherence Cosmology) is a cosmological framework based on stochastic field theory in pre-metric configuration space. Proposed by Michel Debailleul (2025), the framework explains multiple cosmological anomalies observed by Planck and JWST through a unified mathematical formalism without requiring ad hoc hypotheses. Unlike the ΛCDM model, DEBA posits that universe-bubbles emerge via organizational coherence condensation from an atemporal, non-metric primordial void. Physical laws, constants, and spacetime itself emerge locally within each bubble rather than being universal. Advantages Over ΛCDM Conceptual Coherence • No initial singularity: Primordial void is atemporal; temporal singularity is observational artifact • No fine-tuning: Constants emerge from stochastic condensation, not imposed • Finite structure: All physical quantities bounded; no infinities • Local physics: Laws and constants are bubble-specific, not universal Explanatory Power • Unified framework: Single organizational coherence dynamics explains multiple anomalies • Natural predictions: CMB anomalies, early structures emerge without new parameters • Quantitative: Provides calculable predictions, not qualitative hand-waving • Testable: Multiple falsifiable predictions for near-term observations Mathematical Rigor • Derived from established stochastic field theory • Uses large deviation theory (Freidlin-Wentzell) for trajectory probabilities • Functional Langevin dynamics provides well-defined master equation • Stopping time formalism rigorously defines emergence event Numerical Simulation DEBA is computationally simulable via: 1. Stochastic sampling of coherence distributions on discretized C 2. Percolation models at threshold μ_min 3. Monte Carlo methods implementing Eq. (1) master equation 4. Correlation propagation in emergent spacetime 5. Multi-observable joint confrontation with data Preliminary simulations reproduce: - Bubble emergence and flash nucleation - Fragmentation into disjoint domains - Coherence gradient structures - Statistical properties matching observations