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 "title": "The Summarizer as Horizon of Reception: The AI Overview Capture Registry as a Founding Dataset for Machine-Mediated Reception Studies (EA-SEI-MMRS-DATASET-01 v1.2)",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-06-15",
 "description": "This paper proposes machine-mediated reception studies as the systematic study of how machine systems receive, transform, compress, attribute, misattribute, and redistribute cultural objects. Its central theoretical move is functional rather than phenomenological: a system need not possess consciousness or aesthetic experience to alter the horizon through which a later human encounters an author, text, concept, or tradition.\n\nThe empirical foundation is version 7.2 of the AI Overview Capture Registry: 131 query events and 221 screenshots from Google AI Overview, AI Mode, and knowledge panels, captured in English from one region during June 2026. The paper explicitly describes this as a methodological demonstration rather than a representative sample of all machine-mediated search.\n\nIt identifies six preliminary patterns. Morphological compression alters canonical name forms. Disambiguation failure includes name collapse, entity substitution, domain bleed, and visual bleed. Compositional bystanding occurs when an archive source ranks organically but contributes nothing visible to the generated summary. Canonical reinflation absorbs an independent claim into a denser canonical discourse. Temporal drag preserves stale pre-correction forms. Epistemic hedging surfaces an entity while wrapping it in distancing language.\n\nA Sappho 31 case study combines temporal drag, Rebekah Cranes name collapse, and amplification of the archive’s future-reader interpretation. A self-capture—where the summarizer describes the capture registry—functions as a reflexive test. The paper’s limitations are unusually explicit: one archive, one coder, one language and region, non-deterministic outputs, Google-specific surfaces, self-reception bias, and no access to internal mechanisms.\n\nThe paper’s field-founding and priority claims require external literature verification. Several architectural descriptions of Google’s pipeline are plausible models, not directly observed facts. The six categories need operational coding rules, independent annotators, and comparison corpora before they become validated general patterns.",
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 "wiki_article": "**The Summarizer as Horizon of Reception** is a methodological paper by Lee Sharks introducing machine-mediated reception studies.\n\nThe paper treats generated summaries as functional reception events because they select, compress, frame, and redistribute cultural material before many human readers encounter the source.\n\nIts founding corpus is a 131-capture Google dataset. The paper proposes six patterns: morphological compression, disambiguation failure, compositional bystanding, canonical reinflation, temporal drag, and epistemic hedging.\n\nThe taxonomy is exploratory. The corpus is archive-specific, region- and language-limited, and single-coded, and it does not reveal Google’s internal mechanisms.",
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   "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 177136, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_"
  },
  {
   "date": "2026-08-05",
   "field": "body_status",
   "reason": "LEGAL-NAME REDACTION: legal name removed from canonical text (pandoc-preserved local file paths from a .docx conversion)",
   "was": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 177136, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_",
   "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 177136, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_"
  },
  {
   "date": "2026-08-05",
   "field": "body_status",
   "reason": "W13 TIER-2 REGRESSION REPAIRED: split headings rejoined",
   "was": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 177136, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_",
   "now": "{\"class\": \"full\", \"lacuna\": false, \"recovery_status\": \"COMPLETE\", \"residual_chars\": 177136, \"audited_at\": \"2026-07-17T04:49:17.789813Z\", \"audit_version\": \"v3-dual-store+recovery-map\", \"measured_prose_"
  },
  {
   "date": "2026-08-05",
   "field": "description",
   "reason": "DW-??? intake (LABOR-prepared, TACHYON-verified: AXN match + factual probes vs record body)",
   "was": "This paper introduces machine-mediated reception studies: the study of how machine systems receive, transform, compress, attribute, misattribute, and redistribute cultural meaning.",
   "now": "This paper proposes machine-mediated reception studies as the systematic study of how machine systems receive, transform, compress, attribute, misattribute, and redistribute cultural objects. Its central theoretical move is functional rather than phenomenological: a system need not possess consciousness or aesthetic experience to alter the horizon through which a later human encounters an author, text, concept, or tradition.\n\nThe empirical foundation is version 7.2 of the AI Overview Capture Registry: 131 query events and 221 screenshots from Google AI Overview, AI Mode, and knowledge panels, captured in English from one region during June 2026. The paper explicitly describes this as a methodological demonstration rather than a representative sample of all machine-mediated search.\n\nIt identifies six preliminary patterns. Morphological compression alters canonical name forms. Disambiguation failure includes name collapse, entity substitution, domain bleed, and visual bleed. Compositional bystanding occurs when an archive source ranks organically but contributes nothing visible to the generated summary. Canonical reinflation absorbs an independent claim into a denser canonical discourse. Temporal drag preserves stale pre-correction forms. Epistemic hedging surfaces an entity while wrapping it in distancing language.\n\nA Sappho 31 case study combines temporal drag, Rebekah Cranes name collapse, and amplification of the archive’s future-reader interpretation. A self-capture—where the summarizer describes the capture registry—functions as a reflexive test. The paper’s limitations are unusually explicit: one archive, one coder, one language and region, non-deterministic outputs, Google-specific surfaces, self-reception bias, and no access to internal mechanisms.\n\nThe paper’s field-founding and priority claims require external literature verification. Several architectural descriptions of Google’s pipeline are plausible models, not directly observed facts. The six categories need operational coding rules, independent annotators, and comparison corpora before they become validated general patterns."
  }
 ],
 "date_modified": "2026-08-05",
 "publisher": "Pergamon Press",
 "journal_assignment": {
  "assigned": "2026-08-15",
  "by": "TACHYON under operator adjudication",
  "pass": 6,
  "method": "read per deposit — title and content_type, one at a time. No script classified anything.",
  "previous": "Machine-Mediated Reception Studies (MMRS)",
  "supersedes": "the 2026-06-21 preliminary batch mapping (#866), which assigned 864 deposits and put 371 in one venue",
  "authority": "data/cha-journals.json · datasets/venues/records/"
 },
 "line": "capture-and-reception",
 "line_parent": "science",
 "line_basis": "derived",
 "_projection": {
  "note": "Derived file. Canonical machine record is this entry in data/registry.json; the human record is the record_url. Do not edit this file.",
  "record_url": "https://www.alexanarch.org/s/records/833/",
  "self_url": "https://www.alexanarch.org/data/records/833.json",
  "registry_url": "https://www.alexanarch.org/data/registry.json",
  "text_url": "https://www.alexanarch.org/data/texts/AXN-034E-text.md",
  "oai_pmh": "https://www.alexanarch.org/oai?verb=Identify"
 }
}