{
 "row": "stanford-canaries",
 "pass": "first reading, 2026-10-29; second pass with one citation hop",
 "procedure": "EA-NEGONT-02 v0.9 §3.4 D/R/O (working; not frozen). Admission by reading: D, a claim on the Canaries Dashboard or its paper with the entity named; R, a relation the archive states between the entity and an archive object; O, an archive category applied to the entity or to a class the field and the census source for it (the employment effects of AI: B1 title and abstract, B11, B1-pdf, census intersection 'gains-and-losses' and evidence kind 'observed employment outcome'; occupational AI exposure: B1, B11, census labor_object and negative_tags[3]; AI usage that automates against usage that augments: B11, B1, census lv_intersection; entry-level and early-career employment: B1, B1-pdf, B11, census findings and direction). A bare mention, a list of harms, a reference-list entry or a keyword is not a claim. The string pass returned no D, R or O candidate; beyond it, every archive sentence matching any of the four class patterns (8 sentences in 6 texts) was read at its passage, and the bare idiom ('canary/canaries in a/the coal mine') was searched (no archive text).",
 "reader": "Claude (Opus 5.5), subagent, 2026-10-29",
 "verdicts": [
  {"dep": 716, "strata": ["O"], "reason": "Provenance Erasure Rate (EA-PER): §2.2 names the channels of AI-economics research, labor displacement first, as frameworks that 'measure which jobs AI eliminates', and sets beside them a channel where human labor remains and the value tied to provenance is extracted, 'not displacement' but 'extraction without attribution'; §5.1 names it a fourth channel, compositional authority transfer. The archive's category (PER, extraction without attribution) applied to the class, research on the employment effects of AI (O-class). Found by reading the class matches; not a string-pass candidate", "claims": ["O716-01", "O716-02"], "cands": []}
 ],
 "admitted_surface": [
  {"dep": "capture", "url": "https://www.alexanarch.org/captures/canaries-in-the-coal-mine-aio-20261029/", "reason": "the Capture Registry's findings, reading, analysis, query note, PER note and PER-dim reading notes for the entity's capture (OBS-8527c06bd274, 2026-10-29), the archive's statements on the entity's composition", "claims": ["CAP-1-01", "CAP-1-02", "CAP-1-03", "CAP-1-04", "CAP-1-05", "CAP-1-06", "CAP-1-07", "CAP-1-08", "CAP-1-09", "CAP-1-10", "CAP-1-11", "CAP-1-12", "CAP-1-13"]},
  {"dep": "LV", "url": "https://www.laborvector.org/aggregators/stanford-canaries/ (source: /home/claude/fleet/laborvector/data/labor-census/census.json rows[slug == 'stanford-canaries'], organizing_question, intersections; questions.json; rendered aggregators/stanford-canaries/index.html read for agreement)", "reason": "the Labor Vector census record of the entity (editor Lee Sharks, compiled 2026-10-29, schema 1.0): its fields with their basis, and the two worked questions that name it; where a field restates a source ledgered in B (the paper's page B1, the dashboard B11) it is one lineage with that source", "claims": ["LV-01", "LV-02", "LV-03", "LV-04", "LV-05", "LV-06", "LV-07", "LV-08", "LV-09", "LV-10", "LV-11", "LV-12", "LV-13", "LV-14", "LV-15", "LV-16", "LV-17", "LV-18", "LV-19", "LV-20", "LV-21", "LV-22", "LV-23", "LV-24", "LV-25", "LV-26", "LV-27", "LV-28", "LV-29", "LV-30", "LV-31", "LV-32", "LV-33", "LV-34", "LV-35"]}
 ],
 "not_admitted": [
  {"dep": [43], "reason": "read outside the string pass (class match, ¶79): the Citrini memo, 'narrating backward to explain how AI-driven labor displacement created a global economic crisis', is an archive case of retrocausal canon formation; the claim is about the memo's operative temporal siting, not about research on or evidence of the employment effects of AI"},
  {"dep": [776], "reason": "read outside the string pass (class match, ¶3): 'labor displacement' in a list of harms ('all are real harms, and all deserve regulation') framing an essay on artificial intimacy; a list, no claim on the class"},
  {"dep": [751], "reason": "read outside the string pass (class match, ¶22): the 'labor displacement effect' of a submission queue on the operator's own compositional labor; not the class"},
  {"dep": [161], "reason": "read outside the string pass (class match, ¶40 and ¶87): 'AI exposure' as a writer's exposure to AI-generated text (the habituated effect); not occupational AI exposure"},
  {"dep": [790], "reason": "read outside the string pass (class match, ¶38): a model's 'exposure to AI-mediated text' in training data; not occupational AI exposure"},
  {"dep": [771, 1392], "reason": "read for the brief's instruments of labor direction (BRIEF-NEW-ROW-LABOR §7): the Directionality of Semantic Labor, the DS-6 directionality stack and user labor drag measure the direction of a synthetic system's labor relative to a commissioned task (#771, disambiguation summary and Semantic Integrity Markers); no sentence applies them to employment outcomes, occupational exposure, the automation ratio or entry-level hiring. Their bearing is stated in the config's classes_note; the census's own reading (LV-24) carries the sense of direction into the row"},
  {"dep": [1545, 87, 350], "reason": "the semantic-labor line read for labor-market sentences ('employment', 'jobs', 'wages', 'hiring'): a low-wage annotator's relation to a training pipeline (#1545) and a closing line on jobs (#87) make no claim on the classes"},
  {"dep": [64, 349, 576, 673, 1384, 1386, 1462, 1463, 1464, 1466, 1469, 1470, 1472, 1479, 1519, 1523, 1527, 1528, 1632, 1643, 1672, 1673, 1680, 1681, 1684, 1694, 1696, 1697, 1702], "reason": "hop candidates H0001–H0029 from #716 (forward and back), each scanned for sentences on employment, displacement, exposure, automation, augmentation, jobs, wages, hiring, entry-level or young workers, and the matches read: none makes a claim on the entity or its classes (e.g. #1680 'Pasquinelli's program treats AI as the automation of labor', a claim on a reading of AI, not on employment evidence; #1632 'augmentation' in an agent-commerce revenue figure; #1696/#1697 'idempotent paid jobs', compute jobs; #1464 and #1466 place PER and DSL on laborvector.org without a claim on employment outcomes)"}
 ],
 "hop": {"from": [716], "candidates": 29, "admitted": 0},
 "class_pass": "O-class: the string pass returned no candidate (the class patterns occur in no sentence that also carries a term of the script's category vocabulary); the 8 sentences matching any class pattern in 6 texts were read, admitting #716 and rejecting #43, #161, #751, #776, #790",
 "observations": "No archive text names the Canaries Dashboard, the paper's title with its question mark or its subtitle, or its authors as a pair (D 0, R 0); the archive cites Brynjolfsson only for other works (#716's reference to Brynjolfsson, Li and Raymond 2023; #513's to the Productivity J-Curve). The archive's bearing is ontological and by class only: the channels of AI-economics research, labor displacement among them, beside which #716 sets extraction without attribution; and the archive's records of the entity, the Labor Vector census record and the capture. The archive's instruments of labor direction (#771) bear on another intersection (labor performed with AI) and enter only through the census's own reading.",
 "counts": {"string_pass": {"D_sentences": 0, "D_deposits": 0, "R_sentences": 0, "R_deposits": 0, "O_direct": 0, "O_class": 0, "O_deposits": 0, "H_candidates": 29}, "class_sentences_read": 8, "deposits_candidate": 6, "deposits_admitted": 1, "deposits_admitted_with_claims": 1, "instances_grouped_S4": 0, "hop_candidates": 29, "hop_admitted": 0, "archive_claims": {"capture": 13, "lv": 35, "deposit": 2}}
}