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    "title": "Research Agenda",
    "description": "Open research questions for the Antichrist.net Cognitive Liberty archive.",
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        "slug": "research-agenda",
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            "agenda"
        ],
        "title": "Research Agenda",
        "description": "Open research questions for the Antichrist.net Cognitive Liberty archive.",
        "kicker": "Research agenda",
        "lead": "The research agenda starts where institutions claim authority over inner life.",
        "schema_type": "Article",
        "related": [
            "research-library",
            "judgmental-ai",
            "surveillance",
            "the-power-of-participation",
            "participatory-ai-governance",
            "architecture-of-discourse",
            "algorithmic-exclusion-data-deserts",
            "public-record-model-memory",
            "effective-voice-institutions"
        ],
        "sections": [
            {
                "heading": "Current research programs",
                "body": [
                    "The agenda studies how Cognitive Liberty survives when public discourse, search, archives, AI training, moderation, and institutional governance become one connected information environment. Research questions are organized around mechanisms, evidence, and remedies rather than prophetic certainty."
                ],
                "cards": [
                    {
                        "title": "Participatory AI governance",
                        "text": "Which structures give affected people real power over objectives, data, evaluation, deployment, and remedies?"
                    },
                    {
                        "title": "Architecture of discourse",
                        "text": "How do spiral-of-silence dynamics, ranking, social proof, and archives shape what becomes publicly thinkable?"
                    },
                    {
                        "title": "Algorithmic exclusion",
                        "text": "Which languages, communities, and rhetorical styles disappear from corpora, filters, retrieval, and evaluation?"
                    },
                    {
                        "title": "Public record and model memory",
                        "text": "How do source-preserved civic records become discoverable, archivable, and potentially trainable without erasing consent?"
                    },
                    {
                        "title": "Effective institutional voice",
                        "text": "What connects participation to binding decisions rather than ceremonial consultation?"
                    },
                    {
                        "title": "Cognitive due process",
                        "text": "What notice, evidence, appeal, correction, export, and remedy are required when systems classify speech or people?"
                    }
                ]
            },
            {
                "heading": "Participation research questions",
                "table": {
                    "headers": [
                        "Question",
                        "Evidence needed",
                        "Public output"
                    ],
                    "rows": [
                        [
                            "How can participation move upstream?",
                            "Case comparisons of problem-framing, data, and release governance",
                            "Participatory AI Governance page and audit records"
                        ],
                        [
                            "How should plural preferences be aggregated?",
                            "Preference-learning, deliberation, modular policy, and minority-protection studies",
                            "Model-charter clauses and open question ledger"
                        ],
                        [
                            "When does public speech alter institutions?",
                            "Turnout, agenda-setting, network diffusion, public-comment, and organizational research",
                            "Power of Participation and Effective Voice pages"
                        ],
                        [
                            "How do filters create data deserts?",
                            "Dataset composition, exclusion rates, refusal gaps, and language coverage",
                            "Algorithmic Exclusion audit"
                        ],
                        [
                            "How does public memory enter AI?",
                            "Corpus provenance, crawl and archive behavior, licensing, and retrieval studies",
                            "Public Record and Model Memory page"
                        ],
                        [
                            "How can anonymity remain credible?",
                            "Pseudonymous governance, source verification, whistleblower, and harassment evidence",
                            "Architecture of Discourse protocol"
                        ]
                    ]
                }
            },
            {
                "heading": "Method",
                "body": [
                    "Prioritize primary texts, official records, reproducible datasets, peer-reviewed research, transparent technical documentation, and clearly labeled interpretation. Separate factual claims, causal inference, civic analogy, design proposal, and symbolic reading.",
                    "Record source status, unresolved contradictions, and publication boundaries in a durable source ledger. Duplicate source copies preserve provenance but do not count as independent corroboration."
                ]
            },
            {
                "heading": "Open participatory research infrastructure",
                "body": [
                    "The project will maintain source indexes, participation ledgers, representation audits, machine-readable schemas, public test cases, and correction records so researchers can see not only the conclusion but the route by which it entered the archive."
                ],
                "related_links": [
                    {
                        "slug": "participatory-ai-governance",
                        "title": "Participatory AI Governance",
                        "text": "Full lifecycle and power-allocation framework."
                    },
                    {
                        "slug": "architecture-of-discourse",
                        "title": "Architecture of Discourse",
                        "text": "Public belief, visibility, social proof, and algorithmic amplification."
                    },
                    {
                        "slug": "algorithmic-exclusion-data-deserts",
                        "title": "Algorithmic Exclusion",
                        "text": "Coverage, language, filtering, and data-desert audits."
                    },
                    {
                        "slug": "public-record-model-memory",
                        "title": "Public Record and Model Memory",
                        "text": "Source preservation, discovery, archives, and possible downstream model use."
                    }
                ]
            }
        ],
        "hero_image": {
            "src": "assets/img/p/research.jpg",
            "alt": "Gothic research archive with a large book titled Research Agenda, a globe, maps, and red analytical markings.",
            "caption": "Research should expose structures without appointing targets."
        }
    },
    "content_sha256": "a7b742246467bbd17403bd6eb7afc62969eb84a018cedfcdf8369a40a48c0756"
}
