Bridge360 Metatheory Model v18.1.2

Bridge360 Metatheory Model v18.1.2 — Hand-Shake Edition Cost-Calibrated Resolution Geometry (K-Ladder Edition)

Description for Zenodo Record

Bridge360 v18.1.2 (Hand-Shake Edition) is a compact, audit-ready governance and instantiation specification designed to couple rigorous knowledge propagation and emergence analysis with practical deployment decision-making in complex adaptive systems — particularly artificial intelligence, scientific modeling, and socio-technical governance.

At its core, the model integrates:

• K-gated governance geometry — using algorithmic entropy (K) as the base currency to enforce efficiency, prevent bloat via Anti-Potemkin filters, and classify reasoning artifacts into governance bands (A: binding/delegable, B: operational with sign-off, C: exploratory/sandbox).
• Laughlin-style emergence overlay — drawing on condensed-matter physics analogies to characterize phase transitions in symbolic coordination, via spectrum position Ψ ∈ [0,1], regime threshold θ, transition width δ, asymmetric hysteresis (θ_up > θ_down), and Λ-invariance as the stability condition for symbolic claims.
• Cost-calibrated resolution geometry (k-ladders) — the primary novelty of this edition: three explicit, pre-declared measurement ladders (for Ψ stability, δ sharpness/hysteresis, and Λ behavioral convergence under coarse-graining) with operational protocols, marginal cost envelopes ($5–250k range), expected information gain, sigma-checks, and stop/escalate decision trees to avoid analysis inflation.

The hand-shake protocol (PoS ↔ science per se interface) enforces strict module separation:

• PoS module handles admissibility, banding, budgets, tripwires, audit logs, and revision discipline.
• Science per se module provides operational definitions, measurement plans, uncertainty quantification (bootstrap CIs), and replication notes.

All outputs remain truth-neutral: labeled as MEASURED (under declared probe family F), ESTIMATED (with uncertainty), or ASSUMED (for governance purposes). The specification is deliberately minimal and non-top-heavy, excluding narrative, extended examples, and decorative formalism.

Key improvements in v18.1.2 (K-Ladder Edition):

• Explicit embedding of cost-calibrated k-ladders (Ψ, δ, Λ) with default escalation paths and band-specific k-minima (e.g., k≥3 adversarial robustness for Ψ in Band A eligibility).
• Bounded forecasting outputs (e.g., Ψ_adv ± CI for brittleness prediction, Λ breakdown points for implementation-drift tolerance).
• Localized diagnostic artifacts for failure-mode explanation (component decomposition, hysteresis path-dependence, resolution breakdown localization).
• Streamlined handshake deliverables (PoS Interface Spec + Science Instantiation Sheet) and audit schema, all k-explicit.

This version is intended as a steering protocol rather than an ontic claim about reality. It supports operators in high-stakes AI safety, alignment, scientific reproducibility, and systemic governance contexts by making emergence properties measurable, forecastable, and governable without resolution inflation.

Target audience: AI governance researchers, safety/alignment practitioners, systems theorists, scientific reproducibility teams, and decision-support operators working with complex adaptive systems.

License recommendation: CC-BY-4.0 (or equivalent open license allowing derivatives with attribution) to enable reuse in research, tooling, and policy applications.

Related concepts: K-gating, entropy attractors, Laughlin emergence, resolution ladders, PoS-science handshake, band classification (A/B/C).

Version date: 2026-01-10 Status: Governance-grade specification (proof-of-concept operationalized via k-ladders)

This record provides the full integrated Markdown specification for archival, citation, and collaborative development.