{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"predictive_residual_processing__sociology_anthropology","portfolio_valid":true,"proposal_assessments":[{"proposal_index":1,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"Operationally specifies a versioned encounter predictor, structured residuals, consequence weighting, reconstructive analyst packets, bounded updates, synchronization, independent raw-note audits, protected bypasses, drift triggers, and full-note fallback. Its causal objective is earlier review of changing institutional encounters."},{"proposal_index":2,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"Implements the archetype through a prospective efference copy of researcher actions, predicted self-generated consequences, uncertainty-weighted residual attribution, synchronized model updates, raw-record audits, participant challenge, and cancellation fallback. It targets reflexive causal ambiguity rather than review congestion."},{"proposal_index":3,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"Uses a participant-authorized prior relationship snapshot as the prediction and confirmed relationship edits as reconstructive residuals, with explicit silence states, checksums, participant confirmation, periodic full re-enumeration, audits, drift limits, and participant-controlled fallback. It targets repeated elicitation and stale carry-forward."},{"proposal_index":4,"complete":true,"causally_faithful":true,"materially_distinct":true,"reason":"Provides variant-specific hierarchical predictions, layer-specific residual routing, reconstruction, fast apprentice-state correction, slow council-governed model revision, uncued full-performance audits, synchronization, protected-content bypasses, and direct-mentorship fallback. It targets situated skill transmission and mentor allocation."}],"pairwise_assessments":[{"proposal_a":1,"proposal_b":2,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 1 predicts recurring observed encounters to prioritize post-collection analytic review; proposal 2 predicts consequences of researchers' outgoing actions and subtracts expected self-effects to improve causal attribution."},{"proposal_a":1,"proposal_b":3,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 1 routes deviations already present in complete fieldnotes to analysts; proposal 3 changes participant-facing data acquisition by reconstructing current relationship state from a prior roster plus participant-confirmed deltas."},{"proposal_a":1,"proposal_b":4,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 1 triages institutional-change evidence during ethnographic review; proposal 4 routes rehearsal errors through layered coaching authorities and uses them to adapt apprentice practice."},{"proposal_a":2,"proposal_b":3,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 2 uses an action-conditioned forward model to isolate unexplained social change; proposal 3 uses a persistent participant-confirmed state model to reduce repeated relationship disclosure while preserving current-state fidelity."},{"proposal_a":2,"proposal_b":4,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 2 cancels predicted researcher-generated consequences for reflexive interpretation; proposal 4 propagates unresolved performance errors across competence layers to drive supervised learning and stewardship."},{"proposal_a":3,"proposal_b":4,"same_problem":false,"same_intervention":false,"independent_opportunity":true,"key_difference":"Proposal 3 encodes participant-supplied relationship changes to reconstruct a longitudinal dataset; proposal 4 compares predicted and realized ritual transitions to allocate coaching and update apprentice behavior."}],"replacement_indices":[],"rationale":"All four proposals are operationally complete and preserve the archetype's maintained prediction, structured residual, calibrated propagation, reconstruction or residual-driven learning, synchronization, independent full-signal audit, drift control, protected bypass, and decompression architecture. Their affected problems, domain interventions, immediate decision processes, and causal paths are materially different, so all six pairs constitute independent opportunities."}