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q-brain-if-consciousness-fundamental.filter-response-map

vendored research asset · q-brain-if-consciousness-fundamental.filter-response-map.json
{
 "schema_version": 1,
 "artifact_type": "argument_fabric_source_map",
 "question_id": "q:brain-if-consciousness-fundamental",
 "source_packet_id": "ip:q17-filter-response-lesion-claims",
 "claim_packet": "content/information-packets/q17-filter-response-lesion-claims.json",
 "generated_by": "codex_hermes_autonomous_loop",
 "source_role": "filter_response_layer",
 "candidate_under_test": "all",
 "central_reading": "The filter account now generates operational predictions for content loss, access loss, and arousal loss that respond to the mechanism gap identified by the lesion layer. The kañcuka ontology provides a formal structure with orthogonal limitation dimensions, predicting categorically distinct experiential signatures for different lesion types, preserved witness across content abolition, recovery decoupling, and a specific mapping hypothesis against PP parameterization. These predictions keep the filter account live and sharpen the differential empirical space between filter, interface, and appearance-only candidates.",
 "nnexpr_mappings": [
  {
   "claim_id": "cl:kancukas-as-distinct-transformation-dimensions",
   "source_span_id": "span:tantraloka-kancuka-orthogonal-dimensions",
   "quoted_anchor": "six kañcukas as distinct restriction axes, not a single parameter",
   "nn_expr": "sambandha(kancuka_dimensions,lesion_transformation_signatures)",
   "parse_status": "parsed",
   "tradition_scope": "trika_perennialism",
   "evidence_dimension": "formal",
   "pramana": "sabda",
   "nyaya_reading": {
    "paksa": "lesion types and kañcuka dimensions",
    "hetu": "the six kañcukas are described as orthogonal limitation dimensions in Tantraloka",
    "sadhya": "lesion effects should show qualitatively distinct experiential signatures by dimension type",
    "vyapti": "If distinct limitation dimensions exist, damage to their neural scaffolding should produce categorically distinct experiential transformations, not merely graded loss."
   },
   "argument_role": "support",
   "targets": [
    "cand:brain-as-filter",
    "crux:brain-damage-transformation",
    "crux:filter-mechanism-requirement"
   ],
   "gate_outcome": "accepted_with_penalty",
   "fallacies_flagged": [
    {
     "type": "savyabhicara",
     "severity": "moderate",
     "reason": "The mapping from kañcukas to specific neural systems is speculative; weak vyapti confidence."
    }
   ],
   "falsifier": "All lesion effects on the structure of experience reduce to a single composite factor with no residual variance requiring qualitatively distinct limitation dimensions."
  },
  {
   "claim_id": "cl:filter-predicts-preserved-witness-across-content-abolition",
   "source_span_id": "span:tantrasara-saksin-invariant-witness",
   "quoted_anchor": "sākṣin as invariant through all vṛtti modifications",
   "nn_expr": "prasanga(content_elimination_eliminates_awareness)",
   "parse_status": "parsed",
   "tradition_scope": "trika_perennialism",
   "evidence_dimension": "phenomenological",
   "pramana": "sabda",
   "nyaya_reading": {
    "paksa": "complete content-structuring system destruction",
    "hetu": "sākṣin is invariant through all content modifications per Tantrasara",
    "sadhya": "bare manifestness may survive content-abolition in a distinct form",
    "vyapti": "If witness consciousness is content-invariant, then complete content-structuring system loss should leave manifestness detectable."
   },
   "argument_role": "support",
   "targets": [
    "cand:brain-as-filter",
    "cand:brain-as-appearance-only",
    "crux:brain-damage-transformation"
   ],
   "gate_outcome": "accepted_with_penalty",
   "fallacies_flagged": [
    {
     "type": "savyabhicara",
     "severity": "moderate",
     "reason": "Detection of bare manifestness in severe brain injury is extremely difficult; claim is vulnerable to the hard problem of measuring consciousness in others."
    }
   ],
   "falsifier": "In patients with complete destruction of content-structuring neural systems, no d
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