configuration/reason/data/lens.data.json

configuration/reason/data/lens.data.json is a file in GovLab Context. 229 lines of code and 0 definitions.

{
    "check": {
        "by": [
            "the detectors each lens names, which resolve to algorithms records and scan code for the lens's duplication shapes",
            "the test-surface catalog, which pairs each lens with a dimension"
        ],
        "population": "the code the lens's detectors scan, and every surface that names the lens",
        "freshness": "a verdict stands until the scanned code, a detector or a surface changes",
        "refusal": "the gate fails on a detector that resolves to no record, or a surface that names an unknown lens",
        "observation": "none: a lens is a way of reading structure; its detectors read source, not a running system",
        "evidence": "fires-and-accepts: one suite plants a surface whose lens does not exist, another plants a detector that resolves to no record, and the bundled data validates clean",
        "authority": "the lens list and the algorithm records, which a surface and a detector cite"
    },
    "records": [
        {
            "id": "structure",
            "label": "structural",
            "question": "How are the parts organized?",
            "nature": "arrangement",
            "universalAxis": "arrangement",
            "mathDomains": [
                "algebra",
                "category-theory"
            ],
            "mathFields": [],
            "surfaces": [
                "structural_duplication",
                "copy_paste_duplication"
            ],
            "detectedBy": [
                "algorithms:behavioral-signature-extraction",
                "algorithms:cross-class-pattern-detection"
            ]
        },
        {
            "id": "time",
            "label": "temporal",
            "question": "How does it vary through time?",
            "nature": "time",
            "universalAxis": "dynamics",
            "mathDomains": [],
            "mathFields": [
                "differential-equations",
                "dynamical-systems"
            ],
            "surfaces": ["temporal_coupling"],
            "detectedBy": ["algorithms:temporal-coupling-detection"]
        },
        {
            "id": "space",
            "label": "spatial",
            "question": "How is it distributed in space?",
            "nature": "location",
            "universalAxis": "arrangement",
            "mathDomains": [
                "geometry",
                "topology"
            ],
            "mathFields": []
        },
        {
            "id": "statistical",
            "question": "What regularities emerge from many observations?",
            "nature": "distribution",
            "universalAxis": "abstraction",
            "mathDomains": ["probability"],
            "mathFields": ["statistics"]
        },
        {
            "id": "frequency",
            "question": "What repeats, and how often?",
            "nature": "recurrence",
            "universalAxis": "dynamics",
            "mathDomains": [],
            "mathFields": ["harmonic-analysis"],
            "surfaces": ["copy_paste_duplication"],
            "detectedBy": ["algorithms:cross-class-pattern-detection"]
        },
        {
            "id": "sequential",
            "question": "In what order do things occur?",
            "nature": "order",
            "universalAxis": "dynamics",
            "mathDomains": [
                "logic",
                "combinatorics"
            ],
            "mathFields": [],
            "surfaces": ["sequential_duplication"],
            "detectedBy": ["algorithms:sequential-chain-duplication"]
        },
        {
            "id": "relation",
            "label": "relational",
            "question": "What connects what?",
            "nature": "relationships",
            "universalAxis": "interaction",
            "mathDomains": [
                "algebra",
                "category-theory"
            ],
            "mathFields": [],
            "surfaces": ["relational_duplication"],
            "detectedBy": ["algorithms:relational-graph-duplication"]
        },
        {
            "id": "behavior",
            "label": "behavioral",
            "question": "How does an entity tend to act?",
            "nature": "action",
            "universalAxis": "interaction",
            "mathDomains": [],
            "mathFields": ["dynamical-systems"],
            "surfaces": ["behavioral_inconsistency"],
            "detectedBy": [
                "algorithms:behavioral-inconsistency",
                "algorithms:behavioral-signature-extraction"
            ]
        },
        {
            "id": "function",
            "label": "functional",
            "question": "What role does something perform?",
            "nature": "purpose",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": ["functional-analysis"]
        },
        {
            "id": "meaning",
            "label": "semantic",
            "question": "What meaning is conveyed?",
            "nature": "meaning",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": [],
            "surfaces": ["conceptual_duplication"],
            "detectedBy": ["algorithms:conceptual-duplication-detection"]
        },
        {
            "id": "cause",
            "label": "causal",
            "question": "What produces what?",
            "nature": "cause",
            "universalAxis": "interaction",
            "mathDomains": [],
            "mathFields": ["mathematical-modeling"],
            "surfaces": ["causal_duplication"],
            "detectedBy": ["algorithms:causal-wiring-duplication"]
        },
        {
            "id": "prediction",
            "label": "predictive",
            "question": "What usually follows?",
            "nature": "expectation",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": ["applied-mathematics"]
        },
        {
            "id": "anomaly",
            "question": "What breaks the normal pattern?",
            "nature": "exception",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": ["statistics"],
            "surfaces": ["behavioral_inconsistency"],
            "detectedBy": ["algorithms:anomaly-outlier-detection"]
        },
        {
            "id": "change",
            "label": "evolutionary",
            "question": "How does the pattern itself change?",
            "nature": "development",
            "universalAxis": "dynamics",
            "mathDomains": [],
            "mathFields": ["dynamical-systems"]
        },
        {
            "id": "fractal",
            "question": "Does the same structure recur at different scales?",
            "nature": "self-similarity",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": [
                "fractal-geometry",
                "renormalization"
            ],
            "surfaces": ["scale_duplication"],
            "detectedBy": ["algorithms:fractal-scale-duplication"]
        },
        {
            "id": "transformation",
            "label": "transformational",
            "question": "How does one state become another?",
            "nature": "transformation",
            "universalAxis": "dynamics",
            "mathDomains": [
                "algebra",
                "computation"
            ],
            "mathFields": []
        },
        {
            "id": "invariant",
            "question": "What remains unchanged?",
            "nature": "invariance",
            "universalAxis": "arrangement",
            "mathDomains": ["topology"],
            "mathFields": ["symmetry"]
        },
        {
            "id": "optimization",
            "question": "What is the best possible state?",
            "nature": "selection",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": ["operations-research"]
        },
        {
            "id": "complexity",
            "question": "How difficult is the transformation?",
            "nature": "difficulty",
            "universalAxis": "abstraction",
            "mathDomains": [],
            "mathFields": ["computation-theory"]
        }
    ]
}