{
 "row": "labor-vector",
 "address": "laborvector",
 "entity": "Labor Vector (laborvector.org), Lee Sharks's site: the canonical definition surface for Directionality of Semantic Labor (DSL, #771) and its interoperable metric program, deposited as a surface in #1392, carrying since 2026-10-29 a meta-aggregator on labor and AI (a census of 15 resources; Meta-Aggregators of the Crimson Hexagon, #1719); formalized in the maryleelabor left-and-labor census record of 2026-10-31 (https://www.maryleelabor.org/aggregators/labor-vector/)",
 "procedure": "EA-NEGONT-02 v0.7 §3.4 (D/R/O), working; not frozen",
 "config": {
  "row": "labor-vector",
  "address": "laborvector",
  "entity": "Labor Vector (laborvector.org), Lee Sharks's site: the canonical definition surface for Directionality of Semantic Labor (DSL, #771) and its interoperable metric program, deposited as a surface in #1392, carrying since 2026-10-29 a meta-aggregator on labor and AI (a census of 15 resources; Meta-Aggregators of the Crimson Hexagon, #1719); formalized in the maryleelabor left-and-labor census record of 2026-10-31 (https://www.maryleelabor.org/aggregators/labor-vector/)",
  "row_type": "E (the archive's own entity: a site of the fleet, Lee Sharks's), entered from the maryleelabor left-and-labor census; the VectorStock stock-graphics listing at the spaced name a homonym on the rail",
  "aliases": [
   {
    "pattern": "\\bLabor Vector\\b",
    "flags": "i"
   },
   {
    "pattern": "\\blaborvector(\\.org)?\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bDirectionality of Semantic Labou?r\\b",
    "flags": "i"
   }
  ],
  "classes": [
   {
    "term": "meta-aggregator (a resource that gathers and reads other resources, formalized as entities)",
    "pattern": "\\bmeta-?aggregat\\w*\\b",
    "flags": "i",
    "basis": "field: B1 (laborvector.org home, card 1: 'Labor and AI: the meta-aggregator'; 'The meta-aggregator widens the question to the labor around AI'); B3 (the site's aggregators page: 'Labor and AI: the meta-aggregator'; 'each formalized as an entity'). The census's own area 'meta-aggregation' and kind ('carrying a meta-aggregator on labor and AI (a census of 15 resources)') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].areas, .kind)."
   },
   {
    "term": "canonical definition surface (a site that carries the canonical definition of an archive term)",
    "pattern": "\\b(canonical )?definition surfaces?\\b",
    "flags": "i",
    "basis": "field: B1 (laborvector.org home, footer: 'Labor Vector · laborvector.org — canonical definition surface for Directionality of Semantic Labor and the interoperable metric program.'). The census's own kind ('the canonical definition surface for Directionality of Semantic Labor and the interoperable metric program') for the entity (maryleelabor census, census.json rows[slug == 'labor-vector'].kind)."
   }
  ],
  "classes_note": "Two classes, each the census's own kind or area for the entity, stated by a field source at the locus given: (1) meta-aggregator (census area 'meta-aggregation', kind; B1, B3); (2) canonical definition surface (census kind; B1 footer). The aliases are the site's name, its host and the name of the framework it is the definition surface for (Directionality of Semantic Labor, the census's aka); the bare abbreviation 'DSL' is not used, being shared with other expansions (domain-specific language). 'Labor Vector' as a phrase also returns the archive's other uses of 'labor vector' (a vector of labor in Operative Semiotics and the telemetry modules); those are read and, where they do not concern the site, rejected or recorded as internal homonyms. The archive's instruments of labor direction (DSL, #771; the directionality stack DS-6; user labor drag) are the site's own content, reached by the alias 'Directionality of Semantic Labor' and by the defining papers, and enter no class pass of their own. #1725 is the census's anchor and is read at the passages that name the entity or its kind (archives of the left, organs, holders, splits); other deposits enter only where they say something of the entity, by locus. Admission by reading (§3.4): D where a deposit names the site and says something of it; R where it states a relation between the site and another archive object (a surface of the fleet, a deposit, a heteronym); O-class where a sentence applies an archive category to meta-aggregators or definition surfaces; a bare mention, a link list, a network footer, a reference line or a keyword list is not a claim.",
  "exclude_deposits": [],
  "notes": "entity-keyed pass, 2026-10-31, on the brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-LEFT.md with BRIEF-NEW-ROW-AGGREGATOR.md and BRIEF-NEW-ROW-LABOR.md; address 'laborvector' (laborvector-aio-20261031, OBS-e70b50445972, ADDR-5eb916a0d08d, AXN:0B63), Google AI Overview (expanded), signed out, incognito. The archive's own records of the entity (the Capture Registry's findings and analysis at the capture; the maryleelabor census record) are ledgered beside the deposits as CAP-1-NN and ML-NN."
 },
 "texts_scanned": 1719,
 "counts": {
  "D_sentences": 177,
  "D_deposits": 64,
  "R_sentences": 144,
  "R_deposits": 58,
  "O_direct": 118,
  "O_class": 28,
  "O_deposits": 54,
  "H_candidates": 0
 },
 "per_deposit": {
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  },
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 },
 "registry_entity_triples": [
  {
   "dep": 444,
   "triple": {
    "subject": "Semantic labor OTel flattening",
    "predicate": "minted_in",
    "object": "THE TELEMETRY MODULE Logotic Programming Extension Module v0",
    "type": "concept",
    "evidence_status": "observed",
    "note": "OTel string attributes have length constraints (typically 128 characters). The semantic labor vector"
   }
  },
  {
   "dep": 444,
   "triple": {
    "subject": "Semantic labor vector",
    "predicate": "minted_in",
    "object": "THE TELEMETRY MODULE Logotic Programming Extension Module v0",
    "type": "concept",
    "evidence_status": "observed",
    "note": "SemanticLabor :: {"
   }
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   "dep": 771,
   "triple": {
    "subject": "Directionality of Semantic Labor",
    "predicate": "created_by",
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    "evidence_status": "observed"
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  {
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   "triple": {
    "subject": "Directionality of Semantic Labor",
    "predicate": "is_type",
    "object": "Strategic document",
    "type": "work",
    "evidence_status": "observed"
   }
  },
  {
   "dep": 771,
   "triple": {
    "subject": "Directionality of Semantic Labor",
    "predicate": "belongs_to_family",
    "object": "GOVERNANCE",
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    "evidence_status": "observed"
   }
  },
  {
   "dep": 771,
   "triple": {
    "subject": "Directionality of Semantic Labor",
    "predicate": "is_part_of",
    "object": "Crimson Hexagonal Archive",
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  },
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   "dep": 771,
   "triple": {
    "subject": "Directionality of Semantic Labor",
    "predicate": "engages",
    "object": "Semantic Economy",
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    "evidence_status": "inferred"
   }
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   "dep": 1392,
   "triple": {
    "subject": "laborvector.org — Canonical Definition Surface for Directionality of Semantic Labor, the DS-6 Tuple,",
    "predicate": "created_by",
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    "predicate": "is_type",
    "object": "Semi-restored record (metadata-only; DataCite full-metadata capture)",
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 ],
 "integrity_S5": [],
 "sha256": {
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 },
 "category_vocabulary": {
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 },
 "note": "Candidates by string only. Admission by reading, recorded in the row's reading file; nothing here is admitted."
}