Smart Vote

Smart Vote — the decision engine under Kollective Intelligence.
It consumes EkoH (expertise + ethics ledger) via immutable snapshots, applies a declared lens (reading), and produces reproducible results with audit artifacts.

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1) Core Architecture (single name, split internally)

Internal component	Responsibility	Output artifacts
smartvote.engine	Validate ballot → compute weight → tally per modality deterministically.	Tally trace, result hashes, per-target aggregates
smartvote.lenses	Run one or more declared lenses (“readings”) over the same ballots + snapshot.	Result bundle (baseline + weighted readings)
smartvote.audit	Compare readings, explain deltas, compute robustness diagnostics (caps/floors/cohorts).	Audit report, comparison metrics
smartvote.registry	Versioned registry of lens specs, defaults, governance controls (enable/disable).	Lens ID + version hash, publication policy

Naming rule: UI/prose uses Smart Vote. Code identifiers may use SmartVote / smartvote.

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2) Functional Capabilities (services)

Display name	Code name / service	Purpose / behavior	Likely module
Weighted Vote Application	weighted_vote_engine	Applies EkoH snapshot weights to ballots under a declared lens.	smartvote.engine
Voting Modalities	voting_modalities	Approval, ranking, rating, preferential, budget split; parameters drive tally.	smartvote.engine.modalities
Decision Readings (Lenses)	decision_readings	Baseline + one or more weighted readings; explicit publication bundle.	smartvote.lenses
Transparency & Explainability	result_transparency	Publish raw + weighted totals, lens spec, snapshot manifest, and comparisons.	smartvote.lenses + smartvote.audit
Emerging Expert Detection (adjunct)	emerging_expert_detection	Flags rapid EkoH score growth (mentorship + integrity monitoring).	tasks/emerging_expert_detection
Cross-Module Targeting	cross_module_vote_integration	Any entity becomes a vote target (consultations, debates, docs, projects).	integration_mapping + adapters

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3) Runtime Behavior (what happens during a vote)

• Consultation context. A consultation declares:

  • electorate / eligibility policy,
  • a domain relevance vector R(c,d) (recommended normalized and documented),
  • a vote modality + parameters,
  • the bound EkoH snapshot,
  • the governing lens (and optionally additional readings to publish).

• Ballot intake (idempotent). A user casts one ballot per (user_id, target_type, target_id) (upsert or strict unique constraint).

• Weight application. Smart Vote computes a weight W(u,c) under the chosen lens using:

  • S(u,d) = EkoH domain score vector,
  • E(u) = EkoH ethics multiplier,
  • R(c,d) = consultation relevance vector.

• Aggregation. The system stores:

  • raw_value (what the user voted),
  • weighted_value (raw_value × W),
  • and updates per-target aggregates deterministically.

• Readings publication. A default bundle is typically:

  • baseline (1p1v),
  • governing weighted reading,
  • optional alternate ethics reading (policy choice),
  • optional robustness reading (caps/floors).

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4) Database Models (OLTP)

Canonical schema: ekoh_smartvote

Table / Model	Purpose	Key fields
vote	Stores each ballot (raw + weighted, immutable once cast).	id, user_id, target_type, target_id, raw_value, weighted_value, created_at
vote_modality	Defines modality + parameters for tally logic.	id, name, parameters (JSONB)
vote_result	Aggregated totals per target (counts + weighted sums + modality outputs).	id, target_type, target_id, result_payload (JSONB), vote_count
vote_ledger	Append-only hash log for audit anchoring and reproducibility.	id, vote_id, hash, created_at
integration_mapping	Cross-module mapping for vote targets and contexts.	id, module_name, context_type, mapping_details (JSONB)
emerging_expert	Flags rapid EkoH score deltas (adjunct).	id, user_id, detection_date, score_delta

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5) Configuration & Defaults (versioned)

• Vote modalities enum: approval | ranking | rating | preferential | budget_split
• Emerging expert threshold: +15% EkoH delta over 30 days (EMERGING_EXPERT_THRESHOLD = 0.15)
• Strong consensus threshold: ≥ 75% weighted agreement (CONSENSUS_STRONG_THRESHOLD = 0.75)
• Lens policy: lens spec is versioned (ID + hash) and must be attached to every published result bundle.
• EkoH scoring knobs: live in score_configuration (EkoH-side), referenced by snapshot manifests.

Avoid “frozen” parameters unless you truly intend they never change; prefer versioned defaults.

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6) Analytics & Reporting (optional, implementation-dependent)

• Near-real-time aggregates come from OLTP (vote_result).
• Longer-term analytics can be derived into a fact table (e.g., smart_vote_fact) on a schedule.
• Published reports must preserve:
  • lens spec version,
  • snapshot manifest ID,
  • modality parameters,
  • privacy constraints (cohort suppression where applicable).

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Summary

Smart Vote provides modality-aware weighted voting plus decision readings (lenses), backed by immutable EkoH snapshots and audit artifacts. It makes outcomes legible, comparable, and contestable while enabling cross-module governance targets across the Konnaxion platform.

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