{
  "logos": {
    "act_type": {
      "value": "assertive",
      "authority_mismatch": false,
      "rationale": "The text makes a sustained series of truth claims about how a specific system works \u2014 'the worker is an LLM call', 'you keep the durable truth in your filesystem' \u2014 addressed directly to the system's owner. No institutional authority is invoked or required; the speaker asserts from technical understanding of the architecture.",
      "confidence": 0.87,
      "_src": [
        "Austin",
        "Searle"
      ],
      "_operator": "act_type_operator.py"
    },
    "cooperative": {
      "status": "honored",
      "maxim_violated": null,
      "implicature": null,
      "confidence": 0.89,
      "_src": [
        "Grice"
      ],
      "_operator": "cooperative_operator.py"
    },
    "transmission": {
      "value": "archive",
      "rationale": "The text reads as a durable explanatory record \u2014 a complete, self-contained framing of system architecture meant to clarify and preserve conceptual structure. The direct 'you' address makes it personal, but the explanatory register, terminological care ('autovivified', 'disposable execution artifacts'), and structural completeness all point toward archival intent rather than ephemeral exchange or public broadcast.",
      "confidence": 0.63,
      "_src": [
        "Logos Core Tree"
      ],
      "_operator": "transmission_operator.py"
    },
    "resonance": {
      "value": "harmony",
      "surface": "Affirmative, coherent description of an architecture that 'evolves naturally with your thinking' and 'stays schema-light' \u2014 the framing validates the system's design choices.",
      "underlying": null,
      "confidence": 0.83,
      "_src": [
        "Logos Core Tree",
        "Machin"
      ],
      "_operator": "resonance_operator.py"
    },
    "authority": {
      "value": "occult",
      "source": "Speaker's direct technical knowledge of the system's inner logic \u2014 real epistemic authority derived from understanding the architecture, not institutionally credentialed or formally recognized.",
      "rationale": "The speaker explains with assurance ('Each LLM call acts like a sandboxed semantic worker', 'you have semantics to transient agent') but the authority comes from tacit technical insight, not formal role. The knowledge is real and consequential but operates outside any official record.",
      "confidence": 0.72,
      "_src": [
        "Logos Core Tree",
        "Weber"
      ],
      "_operator": "authority_operator.py"
    },
    "utility": {
      "value": "narrative",
      "secondary": "instruction",
      "rationale": "Primary function is sense-making \u2014 framing the architecture as a coherent conceptual world with its own vocabulary ('sandboxed semantic worker', 'disposable execution artifacts', 'autovivified'). Secondary function is instructional: the clarity enables the recipient to reason about and extend the system more intentionally.",
      "confidence": 0.84,
      "_src": [
        "Logos Core Tree"
      ],
      "_operator": "utility_operator.py"
    },
    "social_field": {
      "grid": 0.22,
      "group": 0.33,
      "quadrant": "individualist",
      "rationale": "Low grid: the architectural exploration is not governed by explicit rules or formal roles \u2014 it's conceptually open and self-directed. Moderate-low group: there is a shared project context implied by 'your world', but no strong collective identity or membership boundary. Individualist quadrant fits a peer technical explanation between collaborators with loose affiliation and high personal autonomy.",
      "confidence": 0.73,
      "_src": [
        "Douglas"
      ],
      "_operator": "social_field_operator.py"
    },
    "structural": {
      "layer": "dyad",
      "scale": "dyad",
      "_coerced": null,
      "density": "proximal",
      "persistence": "short_term",
      "authority": "pair",
      "transmission": "direct",
      "memory_channel": "shared",
      "language_mode": "relational",
      "overlays": [],
      "confidence": 0.81,
      "_src": [
        "Dunbar",
        "Tonnies",
        "Ostrom",
        "Douglas"
      ],
      "_operator": "structural_operator.py"
    },
    "_runner": "logos_fused.py",
    "act_position": {
      "value": "about",
      "rationale": "The text describes and theorizes how the system's architecture works, standing outside those events rather than acting within them.",
      "confidence": 0.9,
      "_src": [
        "round_trip loss test 2026-07-13"
      ],
      "_operator": "act_position_operator.py"
    }
  },
  "conflict": {
    "schema": "latent",
    "schema_signals": [
      "authority=occult",
      "social_field=individualist(grid=0.22,group=0.33)",
      "transmission=archive"
    ],
    "behavior": "none",
    "behavior_signals": [
      "cooperative=honored(no violations)",
      "resonance=harmony(no underlying suppression)",
      "act_type=assertive but utility=narrative(explanatory, not coercive)"
    ],
    "terrain": "center",
    "window": "closed",
    "escalation_phase": "none",
    "confidence": 0.78,
    "rationale": "Occult authority embedded in a low-grid, low-group individualist field reveals constitutive rule-opacity \u2014 the architect holds durable truth while workers operate under constraints they did not author \u2014 a latent structural asymmetry that is currently inert because cooperative norms are fully honored and no activation event is present.",
    "_src": [
      "Granovetter",
      "Glasl",
      "Durkheim",
      "Bandura"
    ],
    "_operator": "conflict_operator.py"
  },
  "id": "inf_4b52ae70",
  "version": "1.0",
  "timestamp": "2026-04-17T21:20:44.269617+00:00",
  "source": "gemini",
  "raw_text": "In your world the worker is an LLM call whose behavior is spun up from rule files, prompt templates and scaffolding that define how to think about an inference, and semantic databases that supply the concrete context and state. So instead of code to worker, you have semantics to transient agent. Each LLM call acts like a sandboxed semantic worker, constrained by the rules and data slices you feed it. You keep the durable truth in your filesystem and treat all generated code and prose as disposable execution artifacts. Because your structure is autovivified from clumps and keywords, the system stays schema-light and evolves naturally with your thinking.",
  "left_keywords": [
    "semantic_worker_isolation",
    "transient_agent_instantiation",
    "rules_as_scaffolding",
    "disposable_execution",
    "durable_semantic_store",
    "schema_light_evolution",
    "autovivification",
    "semantic_database_binding",
    "sandboxed_llm_call",
    "language_as_runtime_spec"
  ],
  "right_keywords": [
    "json_indexing",
    "keyword_clumping",
    "cooccurrence_graph",
    "autovivification",
    "filesystem_path",
    "tension_calculation",
    "index_aggregation",
    "api_output",
    "inference_storage",
    "category_path_assignment"
  ],
  "clumps": {
    "agent_instantiation": [
      "sandboxed_llm_call",
      "semantic_worker_isolation",
      "transient_agent_instantiation"
    ],
    "runtime_spec": [
      "language_as_runtime_spec",
      "rules_as_scaffolding",
      "semantic_database_binding"
    ],
    "artifact_vs_truth": [
      "disposable_execution",
      "durable_semantic_store"
    ],
    "structural_evolution": [
      "autovivification",
      "schema_light_evolution"
    ]
  },
  "tension_score": 0.0332,
  "guardrail_actions": {},
  "domain": "logos",
  "category_paths": [
    "autovivification/disposable_execution",
    "autovivification/language_as_runtime_spec",
    "autovivification/rules_as_scaffolding",
    "autovivification/sandboxed_llm_call",
    "autovivification/schema_light_evolution",
    "autovivification/semantic_database_binding",
    "autovivification/semantic_worker_isolation",
    "autovivification/transient_agent_instantiation",
    "disposable_execution/language_as_runtime_spec",
    "disposable_execution/rules_as_scaffolding",
    "disposable_execution/sandboxed_llm_call",
    "disposable_execution/schema_light_evolution",
    "disposable_execution/semantic_database_binding",
    "disposable_execution/semantic_worker_isolation",
    "disposable_execution/transient_agent_instantiation",
    "durable_semantic_store/autovivification",
    "durable_semantic_store/disposable_execution",
    "durable_semantic_store/language_as_runtime_spec",
    "durable_semantic_store/rules_as_scaffolding",
    "durable_semantic_store/sandboxed_llm_call",
    "durable_semantic_store/schema_light_evolution",
    "durable_semantic_store/semantic_database_binding",
    "durable_semantic_store/semantic_worker_isolation",
    "durable_semantic_store/transient_agent_instantiation",
    "language_as_runtime_spec/rules_as_scaffolding",
    "language_as_runtime_spec/sandboxed_llm_call",
    "language_as_runtime_spec/schema_light_evolution",
    "language_as_runtime_spec/semantic_database_binding",
    "language_as_runtime_spec/semantic_worker_isolation",
    "language_as_runtime_spec/transient_agent_instantiation",
    "schema_light_evolution/rules_as_scaffolding",
    "schema_light_evolution/sandboxed_llm_call",
    "schema_light_evolution/semantic_database_binding",
    "schema_light_evolution/semantic_worker_isolation",
    "schema_light_evolution/transient_agent_instantiation"
  ],
  "tension": {
    "predicted": 0.0332,
    "confirmed": null,
    "calibration_delta": null
  }
}