{
  "schema": "concresca.report-intake-disposition.v027",
  "site_version": "0.28.0-wip",
  "as_of": "2026-08-31",
  "accepted_count": 5,
  "accepted_reports": [
    {
      "id": "RPT-METHOD-001",
      "title": "Research Methodology Center Expansion",
      "accepted_contribution": [
        "claim-state taxonomy",
        "source independence and source-ladder discipline",
        "quote-context reconstruction",
        "timeline separation",
        "adversarial inquiry",
        "visible correction practice",
        "AI-as-assistant rather than factual authority"
      ],
      "publication_status": "SYNTHESIS_INPUT_ONLY",
      "verification_required": true
    },
    {
      "id": "RPT-JUDGMENT-001",
      "title": "Algorithmic Risk and Due Process",
      "accepted_contribution": [
        "prediction-evidence constitutional wall",
        "probabilistic imprisonment",
        "performative innocence",
        "precautionary deference",
        "general prevention versus individualized punishment"
      ],
      "publication_status": "SYNTHESIS_INPUT_ONLY",
      "verification_required": true
    },
    {
      "id": "RPT-JUDGMENT-002",
      "title": "Machine Speed Constitutional Governance",
      "accepted_contribution": [
        "judgment velocity ratio",
        "judgment burden index",
        "due process latency requirement",
        "automatic stays",
        "reversible provisional action",
        "evidence escrow",
        "human temporal accommodation",
        "rapid restoration"
      ],
      "publication_status": "SYNTHESIS_INPUT_ONLY",
      "verification_required": true
    },
    {
      "id": "RPT-JUDGMENT-003",
      "title": "Concresca Judgment Constitution Research",
      "accepted_contribution": [
        "human baseline",
        "ten protected distinctions",
        "twelve constitutional articles",
        "interpretive charity",
        "harm threshold",
        "separation of machine powers",
        "machine judgment danger indicators"
      ],
      "publication_status": "SYNTHESIS_INPUT_ONLY",
      "verification_required": true
    },
    {
      "id": "RPT-JUDGMENT-004",
      "title": "Machine Judgment In Institutions",
      "accepted_contribution": [
        "measurement-to-character escalation",
        "deviance-from-model failure mode",
        "self-fulfilling judgment loops",
        "institutional scope boundaries",
        "expiration, appeal, context separation, and minimization"
      ],
      "publication_status": "SYNTHESIS_INPUT_ONLY",
      "verification_required": true
    }
  ],
  "handling_rule": "Only the listed Concresca-relevant concepts enter current synthesis. Unaligned material is not copied, cataloged as Concresca content, or used to set architecture.",
  "factual_status": "REPORT_DERIVED_AND_VERIFICATION_PENDING",
  "raw_report_bytes_packaged": false,
  "limitations": [
    "The reports are operator-supplied research inputs, not independent certification.",
    "Citations and current-law statements inside the reports must be verified against their cited sources before being presented as current fact.",
    "Normative thresholds and future-history scenarios remain implementation proposals or hypotheses."
  ]
}