Preview: not announced. Search engines asked not to index.

Claim LD04-SL-C19 (v1.0)

A theoretical model in which novices acquire tacit knowledge by working with experts shows that automating entry-level work can raise output yet lower long-run growth, even without cutting entry-level employment, by moving novices away from the most productive experts.

Provenance and status

Claim type
Interpretation
Publication status
Eligible for publication, with qualifiers: preprint
Verification state
Checked against the primary source; the source is a preprint. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license
Any empirical estimate; an earlier version’s back-of-envelope growth cost, which is not in v9
Limitations
Model only; results depend on assumptions about how tacit knowledge is transmitted; the framing changed across versions (cite v9)
Source (as cited)
Ide, “Automation, AI, and the Intergenerational Transmission of Knowledge,” arXiv:2507.16078 v9, June 2026
Source type
Preprint (recorded as “Preprint”)
Institutional position
Independent academic
Maturity of the evidence
Emerging evidence
Recorded date
14 October 2026
Currentness / correction
This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Version

This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.

This pinned version is also the current version.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded)
INTERPRETATION (as printed: “INTERPRETATION”)
Publication status (coded)
ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state (coded)
CONTENT_VERIFIED_PRIMARY (PREPRINT)
Source type (coded)
PREPRINT
Maturity (coded)
EMERGING
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD04-SL-C19—
2PUBLIC-FACING CLAIMA theoretical model in which novices acquire tacit knowledge by working with experts shows that automating entry-level work can raise output yet lower long-run growth, even without cutting entry-level employment, by moving novices away from the most productive experts.—
3CLAIM TYPEINTERPRETATIONbase_types: INTERPRETATION
4RESEARCH STRANDD — Mechanisms and theory—
5MATURITYEMERGINGstates: EMERGING
6SOURCEIde, “Automation, AI, and the Intergenerational Transmission of Knowledge,” arXiv:2507.16078 v9, June 2026source_ids: SRC-SL-IDE-ARXIV-2507-16078-V9
7SOURCE TYPEPreprintclasses: PREPRINT
8INSTITUTIONAL POSITIONIndependent academic—
9SCOPETheoretical model—
10DESIGNOverlapping-generations model of knowledge transmission—
11SAMPLE / DATASETNone (theory)—
12MODEL / TOOL / VERSIONEntry-level automation in the model—
13COMPARATOREconomies without entry-level automation—
14MAIN RESULTEntry-level automation raises output but can lower growth and welfare by reducing novices’ contact with top experts; changes that pair more novices with the best experts raise growth—
15INFERENTIAL TARGETLong-run effects of entry-level automation on knowledge transmission—
16DOES NOT LICENSEAny empirical estimate; an earlier version’s back-of-envelope growth cost, which is not in v9—
17VERIFICATION STATECONTENT VERIFIED PREPRINTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18LIMITATIONSModel only; results depend on assumptions about how tacit knowledge is transmitted; the framing changed across versions (cite v9)—
19CONTRADICTORY / SUPPORTING SOURCESFormalises the apprenticeship-gap mechanism; untested empirically—
20GEOGRAPHY / LANGUAGENot applicable / English—
21DISTRIBUTIONAL LEDGERFuture experts, not current workers, bear the cost—
22R01 / FIELD-MAP LINKSLD-04, D2—
23WHAT WOULD CHANGE THIS CLAIM?Empirical evidence on whether AI changes who novices work with and learn from—
24PUBLICATION STATUSELIGIBLE WITH PREPRINT QUALIFIERstate: ELIGIBLE · qualifiers: PREPRINT
25RECORDED DATE2026-10-14—

Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); D2 (DOMAIN)

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

  • “Ide, “Automation, AI, and the Intergenerational Transmission of Knowledge,” arXiv:2507.16078 v9, June 2026” → Ide (2026), “Automation, AI, and the Intergenerational…” (SRC-SL-IDE-ARXIV-2507-16078-V9--v1.0) — Ide, “Automation, AI, and the Intergenerational Transmission of Knowledge,” arXiv:2507.16078 v9, June 2026; class PREPRINT (explicit public provenance pin)

Cited by Living Debate versions

Cite this page

SocioLens project. (2026, October 14). A theoretical model in which novices acquire tacit knowledge by working with experts shows that automating entry-level work can raise output yet lower long-run growth, even without cutting entry-level employment, by moving novices away from the most productive experts [Claim LD04-SL-C19, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld04-sl-c19/v1.0/

@misc{sociolens_ld04_sl_c19_v1_0,
  author = {{SocioLens project}},
  title = {A theoretical model in which novices acquire tacit knowledge by working with experts shows that automating entry-level work can raise output yet lower long-run growth, even without cutting entry-level employment, by moving novices away from the most productive experts.},
  year = {2026},
  date = {2026-10-14},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld04-sl-c19/v1.0/}},
  note = {Claim LD04-SL-C19, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 9cb6e22d51f9ef20938b2065ef3a78a2abd7c69fd9c09d85173786f5b5eeb248.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD04-SL-C19 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-14; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts. Block “ENTRY 19 — LD04-SL-C19” SHA-256 125045f9693c58aacc20433c6dd5e46964e5f6e2483c7b1480a0b8b3d4132755; fixture fixtures/authored/claims/LD04-SL-C19--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD04-SL-C19 v1.0); the first version of a new Claim of the LD-04 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD04-SL-C19 v1.0" (Project Lead (Claude, AI), 2026-10-14); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 14 October 2026 to build the LD-04 debate; a new Claim, first version, written from the project's LD-04 source notes, checked against full texts or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-IDE-ARXIV-2507-16078-V9--v1.0 — basis: field 6 of ENTRY 19 — LD04-SL-C19 cites "Ide, “Automation, AI, and the Intergenerational Transmission of Knowledge,” arXiv:2507.16078 v9, June 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-IDE-ARXIV-2507-16078-V9--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Ide, “Automation, AI, and the Intergenerational Transmission of Knowledge,” arXiv:2507.16078 v9, June 2026".