Claim LD04-SL-C06 (v1.0)
In an experiment where participants studied a technical domain with or without an LLM, gains were highly uneven and were predicted not by grades or prior knowledge but by skill at eliciting, filtering and verifying AI output; participants low on that skill saw limited or negative returns, and a concept-map scaffold reduced the spread.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
- Does not license
- Workplace effects; a validated measure of AI interaction competence
- Source (field 6, as printed)
- Idan & Anand, “Generative AI and the Productivity Divide: Human-AI Complementarities in Education,” arXiv:2605.18143, May 2026
- Source type (field 7)
- PREPRINT (as printed: “Preprint”)
- Institutional position
- Independent academic
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-14
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Pinned version v1.0 (entry LD04-SL-C06--v1.0) — this page never floats to newer evidence.
This pinned version is also the current version.
Pinned Sources (field 6, version-specific)
- “Idan & Anand, “Generative AI and the Productivity Divide: Human-AI Complementarities in Education,” arXiv:2605.18143, May 2026” → SRC-SL-IDAN-ANAND-ARXIV-2605-18143--v1.0 — Idan & Anand, “Generative AI and the Productivity Divide: Human-AI Complementarities in Education,” arXiv:2605.18143, May 2026; class PREPRINT (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD04-SL-C06 | — |
| 2 | PUBLIC-FACING CLAIM | In an experiment where participants studied a technical domain with or without an LLM, gains were highly uneven and were predicted not by grades or prior knowledge but by skill at eliciting, filtering and verifying AI output; participants low on that skill saw limited or negative returns, and a concept-map scaffold reduced the spread. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | A — Performance while the tool is in use | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Idan & Anand, “Generative AI and the Productivity Divide: Human-AI Complementarities in Education,” arXiv:2605.18143, May 2026 | source_ids: SRC-SL-IDAN-ANAND-ARXIV-2605-18143 |
| 7 | SOURCE TYPE | Preprint | classes: PREPRINT |
| 8 | INSTITUTIONAL POSITION | Independent academic | — |
| 9 | SCOPE | Self-study of a technical domain by participants standing in for early-career knowledge workers | — |
| 10 | DESIGN | Randomized experiment with a scaffolding intervention | — |
| 11 | SAMPLE / DATASET | Not checked | — |
| 12 | MODEL / TOOL / VERSION | LLM assistance (version not checked) | — |
| 13 | COMPARATOR | Traditional study resources | — |
| 14 | MAIN RESULT | Mean performance rises; gains highly uneven; “AI Interaction Competence” predicts gains, GPA and prior knowledge do not; low-competence participants see limited or negative returns; concept-map scaffolding reduces variance | — |
| 15 | INFERENTIAL TARGET | What predicts who benefits from LLM-assisted study | — |
| 16 | DOES NOT LICENSE | Workplace effects; a validated measure of AI interaction competence | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED ABSTRACT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Preprint; student stand-ins; checked against the arXiv abstract only, so sample and magnitudes are not reported here | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Consistent with widening by interaction skill; implies that a gap can be narrowed by design | — |
| 20 | GEOGRAPHY / LANGUAGE | Not checked / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Gains follow a new skill (using AI well) rather than prior attainment | — |
| 22 | R01 / FIELD-MAP LINKS | LD-04, D2 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Full-text reading or replication that changes the predictor result | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH PREPRINT QUALIFIER | state: ELIGIBLE · qualifiers: PREPRINT |
| 25 | RECORDED DATE | 2026-10-14 | — |
Field 22 references resolved against Field Map v0.2: LD-04 (LIVING_DEBATE); D2 (DOMAIN)
Cited by Living Debate versions
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 5484226f9653792746e46edfbb2ae579b8d14ccce233525dbf197873ecb3a063.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD04-SL-C06 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 06 — LD04-SL-C06” SHA-256
dba22541fda94585e64b47187ea35ad12472f89ddd920f0aa8aea72ec494603e; fixturefixtures/authored/claims/LD04-SL-C06--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-C06 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-C06 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-IDAN-ANAND-ARXIV-2605-18143--v1.0 — basis: field 6 of ENTRY 06 — LD04-SL-C06 cites "Idan & Anand, “Generative AI and the Productivity Divide: Human-AI Complementarities in Education,” arXiv:2605.18143, May 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-IDAN-ANAND-ARXIV-2605-18143--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Idan & Anand, “Generative AI and the Productivity Divide: Human-AI Complementarities in Education,” arXiv:2605.18143, May 2026".