# Deterministic Governance Mechanism A reference implementation of deterministic exclusion: a governance engine where decisions are produced by a hard mechanical threshold, not probabilistic ranking or sampling. Given identical inputs, configuration, and runtime substrate, the engine produces bit-identical outputs. This repository is not a policy proposal or moderation system; it is a mechanism, a minimal and inspectable experiment showing that exclusion decisions can be causal, replayable, and mechanically auditable. ## Overview The system models candidates as stateful objects subject to deterministic constraint pressure over time. Each candidate accumulates stress, and exclusion occurs only when accumulated stress exceeds a fixed yield threshold. Once excluded, a candidate cannot re-enter; history is part of the state. There is no randomness, temperature, ranking, sampling, or learned scoring. The engine behaves like a material system under load: given the same initial conditions and pressure schedule, the same fractures occur every time. ## Core Invariant The fundamental invariant enforced by the engine is: ``` text Same input + same configuration + same substrate → same output (bit-identical)
If two executions produce different outputs, then something upstream has changed: the inputs, the configuration, the substrate, or the runtime environment. The engine makes this divergence visible rather than hiding it behind probability.
Mechanical Model
Each candidate i has state variables for accumulated stress σ_i(t), yield strength σ_y,i, and fracture state (intact or excluded). Exclusion is a one-way state transition governed by a hard threshold:
σ_i(t) > σ_y,i → candidate fractures (excluded)
Once fractured, a candidate cannot re-enter. There is no decay, annealing, or reset.
Stress evolves deterministically across discrete steps:
σ_i(k+1) = σ_i(k) + Δσ_i(k)
All increments Δσ are computed from explicit deterministic functions defined in code.
Constraint Pressure and Phases
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