Claim LD09-SL-C14 (v1.0)
In argumentative essays co-written with a language model, only the instruction-tuned model (InstructGPT) made essays more alike; the base model (GPT-3) did not, and the reduction in diversity came from the text the model contributed, while the users’ own text remained unaffected.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Does the convergence caused by writing with AI persist or compound over months of use?Homogenization came from the model's contributed text, not the users' own text, within a session.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (QUALIFIED) (as printed: “ELIGIBLE WITH QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (as printed: “CONTENT VERIFIED”; verified by: UNKNOWN)
- Does not license
- Effects of current models, or on essay quality
- Source (field 6, as printed)
- Padmakumar & He, “Does Writing with Language Models Reduce Content Diversity?,” ICLR 2024, arXiv:2309.05196
- Source type (field 7)
- PEER_REVIEWED_CONFERENCE_PAPER (as printed: “Peer-reviewed conference paper”)
- Institutional position
- Independent academic (New York University)
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-15
- 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--LD09-SL-C14.
Pinned Sources (field 6, version-specific)
- “Padmakumar & He, “Does Writing with Language Models Reduce Content Diversity?,” ICLR 2024, arXiv:2309.05196” → SRC-SL-PADMAKUMAR-HE-ICLR-2024--v1.0 — Padmakumar & He, “Does Writing with Language Models Reduce Content Diversity?,” ICLR 2024, arXiv:2309.05196; class PEER_REVIEWED_CONFERENCE_PAPER (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 | LD09-SL-C14 | — |
| 2 | PUBLIC-FACING CLAIM | In argumentative essays co-written with a language model, only the instruction-tuned model (InstructGPT) made essays more alike; the base model (GPT-3) did not, and the reduction in diversity came from the text the model contributed, while the users’ own text remained unaffected. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | B — Creative work, writing and ideas | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Padmakumar & He, “Does Writing with Language Models Reduce Content Diversity?,” ICLR 2024, arXiv:2309.05196 | source_ids: SRC-SL-PADMAKUMAR-HE-ICLR-2024 |
| 7 | SOURCE TYPE | Peer-reviewed conference paper | classes: PEER_REVIEWED_CONFERENCE_PAPER |
| 8 | INSTITUTIONAL POSITION | Independent academic (New York University) | — |
| 9 | SCOPE | Argumentative essays on ten topics | — |
| 10 | DESIGN | Controlled writing study with three setups (solo, base model, instruction-tuned model) | — |
| 11 | SAMPLE / DATASET | 300 essays by paid native English-speaking writers | — |
| 12 | MODEL / TOOL / VERSION | GPT-3 (davinci) and InstructGPT (2022) | — |
| 13 | COMPARATOR | Essays written alone | — |
| 14 | MAIN RESULT | Key-point homogenization (Rouge-L): solo 0.1536, GPT-3 0.1578, InstructGPT 0.1660, with only InstructGPT significantly different; lexical and key-point diversity also lower with InstructGPT; user-written text unaffected | — |
| 15 | INFERENTIAL TARGET | Where in human–AI writing homogenization comes from | — |
| 16 | DOES NOT LICENSE | Effects of current models, or on essay quality | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED | state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Small corpus; one genre; models from 2022; read in the arXiv version 3 (July 2024), posted after the ICLR 2024 acceptance; the proceedings version was not read | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Not applicable | — |
| 20 | GEOGRAPHY / LANGUAGE | Not checked / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Not recorded | — |
| 22 | R01 / FIELD-MAP LINKS | LD-09, D3 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Replication with current models and tuning methods | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH QUALIFIER | state: ELIGIBLE · qualifiers: QUALIFIED |
| 25 | RECORDED DATE | 2026-10-15 | — |
Field 22 references resolved against Field Map v0.2: LD-09 (LIVING_DEBATE); D3 (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 30317c6bd9729368d9654d920bffac7cc18d23c9e1dbfac4a953b0a5a4eecc8b.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD09-SL-C14 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; 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 15 October 2026 to build the LD-09 debate; a new Claim, first version, written from the project's LD-09 source notes, checked against full texts or official abstracts. Block “ENTRY 14 — LD09-SL-C14” SHA-256
1c431a4f32f569fa7048f475f8aabb2f29e93590ff9e940702d9f00ba94ce2e4; fixturefixtures/authored/claims/LD09-SL-C14--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD09-SL-C14 v1.0); the first version of a new Claim of the LD-09 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD09-SL-C14 v1.0" (Project Lead (Claude, AI), 2026-10-15); 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 15 October 2026 to build the LD-09 debate; a new Claim, first version, written from the project's LD-09 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-PADMAKUMAR-HE-ICLR-2024--v1.0 — basis: field 6 of ENTRY 14 — LD09-SL-C14 cites "Padmakumar & He, “Does Writing with Language Models Reduce Content Diversity?,” ICLR 2024, arXiv:2309.05196"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-PADMAKUMAR-HE-ICLR-2024--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Padmakumar & He, “Does Writing with Language Models Reduce Content Diversity?,” ICLR 2024, arXiv:2309.05196".