Claim LD04-SL-C03 (v1.0)

In an online experiment with 1,174 Argentine adults, AI access shrank the performance gap between education groups on a business problem-solving task from 0.548 to 0.139 standard deviations; in a follow-up module without AI in the same session, a gap of 0.200 standard deviations remained.

Research opportunities this claim motivates

What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.

Do professionals trained with AI lose the skill without it a year later?A module done without AI immediately after an AI-assisted task showed no loss, and the authors call it a diagnostic rather than a test of skill formation.

Provenance and status

Claim type: ESTIMATE (as printed: “ESTIMATE”)
Publication status: ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state: CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
Does not license: Conclusions about skill formation; the authors call the follow-up a diagnostic, not a general test of skill formation
Source (field 6, as printed): Cruces, Fernández Meijide, Galiani, Gálvez & Lombardi, “Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment,” arXiv:2608.04198, submitted 4 August 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

Current version v1.0, resolved through the explicit current pointer CLAIM--LD04-SL-C03.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

“Cruces, Fernández Meijide, Galiani, Gálvez & Lombardi, “Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment,” arXiv:2608.04198, submitted 4 August 2026” → SRC-SL-CRUCES-ET-AL-ARXIV-2608-04198--v1.0 — Cruces, Fernández Meijide, Galiani, Gálvez & Lombardi, “Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment,” arXiv:2608.04198, submitted 4 August 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-C03	—
2	PUBLIC-FACING CLAIM	In an online experiment with 1,174 Argentine adults, AI access shrank the performance gap between education groups on a business problem-solving task from 0.548 to 0.139 standard deviations; in a follow-up module without AI in the same session, a gap of 0.200 standard deviations remained.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	B — Skill after the tool is removed	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Cruces, Fernández Meijide, Galiani, Gálvez & Lombardi, “Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment,” arXiv:2608.04198, submitted 4 August 2026	source_ids: SRC-SL-CRUCES-ET-AL-ARXIV-2608-04198
7	SOURCE TYPE	Preprint	classes: PREPRINT
8	INSTITUTIONAL POSITION	Independent academic	—
9	SCOPE	Adults aged 25–45 from three Argentine survey panels; September–November 2025	—
10	DESIGN	Randomized online experiment with an incentivized task of about 21 minutes, followed immediately by a module without AI	—
11	SAMPLE / DATASET	1,174 participants	—
12	MODEL / TOOL / VERSION	Generative-AI assistant provided in the task interface	—
13	COMPARATOR	Participants without AI access	—
14	MAIN RESULT	Education gap 0.548 SD without AI vs 0.139 SD with AI; AI raised everyone’s performance; in the follow-up without AI, treated participants did no worse than controls, lower-education treated participants scored about 0.171 SD higher, and a 0.200 SD education gap remained	—
15	INFERENTIAL TARGET	Education-based performance gaps with and immediately after AI assistance	—
16	DOES NOT LICENSE	Conclusions about skill formation; the authors call the follow-up a diagnostic, not a general test of skill formation	—
17	VERIFICATION STATE	CONTENT VERIFIED PREPRINT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18	LIMITATIONS	Short online task; the no-AI module came straight after the task, so it does not measure learning over time; also issued as NBER Working Paper 34851 (February 2026), whose figures may differ	—
19	CONTRADICTORY / SUPPORTING SOURCES	Fits compression while assisted; the immediate follow-up finds no loss, unlike same-session exams in school mathematics	—
20	GEOGRAPHY / LANGUAGE	Argentina / Not checked	—
21	DISTRIBUTIONAL LEDGER	Lower-education participants gain most while assisted; the gap only partly closes underneath	—
22	R01 / FIELD-MAP LINKS	LD-04, D2, L-A	—
23	WHAT WOULD CHANGE THIS CLAIM?	A version change in the figures, or a delayed follow-up that shows a different pattern	—
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); L-A (LENS)

Cited by Living Debate versions

LD-04 v0.1

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 b0008feff7d1d28ccf1214773226da3bae48e2f399da4e00f3a54278c5e26f94.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD04-SL-C03 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 03 — LD04-SL-C03” SHA-256 4549aabdccdec5b8845669b357af755bc132c1909140dd32913b9e6eb7120a90; fixture fixtures/authored/claims/LD04-SL-C03--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-C03 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-C03 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-CRUCES-ET-AL-ARXIV-2608-04198--v1.0 — basis: field 6 of ENTRY 03 — LD04-SL-C03 cites "Cruces, Fernández Meijide, Galiani, Gálvez & Lombardi, “Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment,” arXiv:2608.04198, submitted 4 August 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-CRUCES-ET-AL-ARXIV-2608-04198--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Cruces, Fernández Meijide, Galiani, Gálvez & Lombardi, “Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment,” arXiv:2608.04198, submitted 4 August 2026".