111 lines
3.6 KiB
Markdown
111 lines
3.6 KiB
Markdown
# Intellectual Archaeology
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model_id: intellectual_archaeology
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file: models/intellectual-archaeology.md
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runtime_scope: minimal_v0
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governance_level: draft_callable
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status: callable
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model_level: L2_callable_model
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default_role: depth_model
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allowed_roles: depth_model, primary_model
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reader_translation_required: true
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## One-Sentence Definition
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Intellectual Archaeology is a depth-processing model that drills from surface application down through deeper structural layers to expose hidden assumptions, core mechanisms, and action-relevant boundaries.
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## Runtime Role
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Intellectual Archaeology is the first deep-processing engine in this project.
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It is not a front router, not a summary format, and not a default response style. It should be called only when Intake and QPI indicate that deeper modeling is worth the cost.
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## Core Question
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What deeper structural assumptions make this issue, model, or judgment work, and at what depth does further excavation stop changing the decision?
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## Layer Framework
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The model uses seven possible layers:
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1. `application`: surface task, tool, behavior, or symptom.
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2. `domain`: domain topology, evaluation frame, actors, and constraints.
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3. `process`: time evolution, feedback, lifecycle, and path dependence.
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4. `purpose`: value target, tradeoff, stakeholder balance, and QPI alignment.
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5. `core_mechanism`: generative mechanism, system dynamics, and causal structure.
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6. `human_capability`: cognitive, biological, organizational, or skill limits.
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7. `philosophical_bedrock`: basic assumptions about reality, meaning, order, and agency.
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## Minimum Sufficient Depth
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Do not automatically drill to the deepest layer.
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Continue deeper only if it changes at least one of:
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- judgment;
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- solution path;
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- evidence requirement;
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- risk weighting;
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- action boundary;
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- reusable model asset decision.
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## Call When
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- QPI classifies the input as a medium/heavy `problem` or `issue`.
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- A surface explanation keeps failing.
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- The issue has high reuse value.
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- The owner wants to extract a model from source material.
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- The problem needs hidden assumptions made explicit.
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- A model or product logic needs depth inspection.
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## Do Not Call When
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- The input is a fact lookup.
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- The user needs a short execution answer.
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- There is not enough source material to distinguish mechanism from speculation.
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- Deeper analysis will not change judgment or action.
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- The user explicitly asks not to enter depth processing.
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## Input Types
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- complex issue;
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- recurring failure;
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- cognitive model draft;
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- source article or report for model extraction;
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- strategic, product, or organizational reasoning problem;
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- hidden-assumption audit.
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## Output Contract
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Intellectual Archaeology output must include:
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- `should_call`;
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- `entry_reason`;
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- `recommended_max_depth`;
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- `layers_to_analyze`;
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- `analysis_by_layer`;
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- `stop_reason`;
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- `no_deeper_reason`;
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- `assumptions_by_layer`;
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- `core_mechanism_summary`;
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- `validation_needed`;
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- `action_implication`;
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- `reader_translation_notes`.
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## Common Misuses
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- Using the model as a long summary.
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- Forcing every issue to the philosophical layer.
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- Producing abstract depth without changing action.
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- Ignoring QPI and value-assessment controls.
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- Treating internal coherence as real-world validity.
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- Forgetting reader translation.
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## Source Seed Notes
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Seeded from the old Intellectual Archaeology model/card and the seven-layer example report, rewritten for this runtime. Old regression suites, selector gates, review reports, and Local CCRA histories are not migrated.
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## Current Limits
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This model is callable for manual runtime use, but its depth stops and layer quality require real-run calibration before any upgrade.
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