MJos Predictive Model | First manifestation of the Bangel Language
New project sequence ยท proposed bindings
Current source package exposes arbitration, modes, noise filtering, loop protection, integrated pipeline and RecoveryStore. Pure Bangel decision source plus bounded Python host supervision. L1 observation, L2 association, L3 recall, L4 forecasting, L5 arbitration is explicitly a proposed logical organization.
MJ Decision Layer and recovery / Purple MJos Predictive Model | First manifestation of the Bangel Language MJ Physics Engineering | Owned and operated by Michael Bangel | Clearwater, Florida TYPED LANGUAGE BINDING - Candidate: identity + score + source - Mode: separate from decision status - Health/Review/Minority/Downstream: independently bound - Recovery: operation ID + checkpoint + outcome certainty BINDING PROPOSAL Required reviews, liveness, forecast and downstream gates are present and current. Apply gate precedence, bounded rankings and progress-aware recovery with durable operation identities. Select an advisory or HOLD/DENY; ambiguous external completion remains held. COMPILATION BOUNDARY Use a declared Bangel grammar profile. Elsa compiles valid source; independent JP admission checks the representation before Joanna execution. The type descriptions above are proposed contract notation, not parser-verified Bangel syntax. Do not copy historical paper module syntax into a bangel 1.0 file without an explicit adaptation. IMPLEMENTATION OBLIGATION Bind each listed field to actual source input and output, define missingness and units, provide positive and failure examples, and test the generated receipt. MJ authority remains separate from calculation. EVIDENCE LIMITS - SELECTED identifies an advisory candidate; no financial or physical permission. - Missing independent gates HOLD. - Recovery does not retry uncertain external effects and cannot convert predicted data into observed evidence.