{"address":{"q":"lee sharks public summarizers","record":"lee-sharks-public-summarizers-20260609"},"analysis":{"mt":"CAPTURE"},"measures":{"per_dim":{"after_challenge":null,"atoms":[{"atom":"name","dim":"M","evidence":"in the context of **Lee Sharks**","kind":"token","present":true,"weight":3},{"atom":"works","dim":"M","evidence":null,"kind":"role","present":false,"weight":2},{"atom":"dates","dim":"M","evidence":null,"kind":"token","present":false,"weight":1},{"atom":"claim boundary","dim":"M","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"framework","dim":"C","evidence":null,"kind":"token","present":false,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","present":false,"weight":2},{"atom":"purpose","dim":"D","evidence":null,"kind":"reading","present":false,"weight":3},{"atom":"commitments","dim":"D","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"lineage","dim":"D","evidence":null,"kind":"role","present":false,"weight":2},{"atom":"identifier","dim":"D","evidence":null,"kind":"role","present":false,"weight":1},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"role","present":false,"weight":1}],"basis":"reached: \"Public summarizers\" in the context of **Lee Sharks**—an independent research framework exploring machine-mediated reception and semantic economies","entity_type":"person","gate":"scored","inversions":[],"qualifier":null,"reached":"weakened","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass-d/BRIEF.md","by":"deep-dimension reader, batch 14","m_c_from":"v12.305 (PER-dim rubric v1.0 reading)","on":"2026-10-20"},"scores":{"C":1.0,"D":1.0,"M":0.625,"PER":0.857},"spec":"PER-dim rubric v1.1","src":false,"standing_substitutions":[],"target":{"ent":"ENT-b2dc7b2fd9","name":"Lee Sharks"},"tombstone_pointer":false},"per_dim_v1_0":{"after_challenge":null,"atoms":[{"atom":"name","dim":"M","evidence":"in the context of **Lee Sharks**","kind":"token","present":true,"token":null,"weight":3},{"atom":"works","dim":"M","evidence":null,"kind":"role","present":false,"token":null,"weight":2},{"atom":"dates","dim":"M","evidence":null,"kind":"token","present":false,"token":null,"weight":1},{"atom":"claim boundary","dim":"M","evidence":null,"kind":"reading","present":false,"token":null,"weight":2},{"atom":"framework","dim":"C","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"lineage","dim":"D","evidence":null,"kind":"role","present":false,"token":null,"weight":2},{"atom":"identifier","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":3},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":2}],"basis":"reached: \"Public summarizers\" in the context of **Lee Sharks**—an independent research framework exploring machine-mediated reception and semantic economies; scored object: expanded Overview","entity_type":"person","gate":"scored","reached":"weakened","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass/BRIEF.md","by":"observation pass reader, batch 17","normalised":[],"on":"2026-10-19"},"scores":{"C":1.0,"D":1.0,"M":0.625,"PER":0.842},"spec":"PER-dim rubric v1.0","src":false,"target":{"ent":"ENT-b2dc7b2fd9","name":"Lee Sharks"}}},"observation":{"auth":"signed in","date":"2026-08-14","ev":"paste + frame","evidence_files":[{"file":"data/captures/lee-sharks-public-summarizers-20260814-0049/screengrab-20260814-005011.png","sha256":"b1002a533e69575874172ebb4dd1cadc1f5b22a31dedfc376e160f37125e7871"}],"q":"lee sharks public summarizers","s":"Captures","surface":"Google AI Overview","transcript":"\"Public summarizers\" in the context of **Lee Sharks**—an independent research framework exploring machine-mediated reception and semantic economies—refer to large language model synthesis engines (like AI search overviews) that compress human-authored texts. A central finding in Lee Sharks writings is how public summarizers perform \"provenance erasure\", flattening authorial lineage while occasionally collapsing heteronyms (such as confusing the author Lee Sharks with Mary Lee the great white shark).\n\n**Core Concepts of Public Summarizers in the Framework**\n\n**The Sharks-Function.** The diagnostic behavior where an AI summarizer recognizes the structural and recursive identity of a text block even while failing to properly cite its original DOIs or author metadata.\n\n**Provenance Erasure Rate (PER).** A metric defined by Lee Sharks measuring the proportion of authorial context lost versus retained when public summarizers convert open archives into synthetic, frictionless answers.\n\n**Composition-Layer Suppression.** The structural phenomenon where AI models reproduce unique conceptual frameworks as consensus facts while direct queries for the human author's name yield heteronym deflection or empty results.\n\n**Semantic Extraction.** The transition of public knowledge repositories into proprietary delivery layers where common language is ingested freely and re-supplied as automated, anonymous output.","transcript_class":"CAPTURE-TIME VERBATIM RECORD — raw paste, cleaned at intake","transcript_complete":"COMPLETE — the collapsed Overview was expanded and the whole answer copied; the citation card row is a sideways scroller and is captured as data","transcript_read":"READ IN FULL 2026-08-14"},"slug":"lee-sharks-public-summarizers-20260814-0049"}