Claim LD08-SL-C09 (v1.0)
In 10,772 NeurIPS, ICML and CVPR papers (2015–2019), only three contained an explicit conflict-of-interest statement, although 15–20% of purely academic papers named a company in their acknowledgements; industry and academic papers differed by only 3.1% in their use of social-impact terms, academic papers using them slightly more.
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
- That industry research is as critical as academic research, or that acknowledged companies funded the work; keyword counts measure mention, not stance
- Source (field 6, as printed)
- Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021
- Source type (field 7)
- PEER_REVIEWED_JOURNAL_ARTICLE (as printed: “Peer-reviewed journal article”)
- Institutional position
- Independent academic (University of Tübingen)
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-16
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Pinned version v1.0 (entry LD08-SL-C09--v1.0) — this page never floats to newer evidence.
This pinned version is also the current version.
Pinned Sources (field 6, version-specific)
- “Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021” → SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021--v1.0 — Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021; class PEER_REVIEWED_JOURNAL_ARTICLE (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 | LD08-SL-C09 | — |
| 2 | PUBLIC-FACING CLAIM | In 10,772 NeurIPS, ICML and CVPR papers (2015–2019), only three contained an explicit conflict-of-interest statement, although 15–20% of purely academic papers named a company in their acknowledgements; industry and academic papers differed by only 3.1% in their use of social-impact terms, academic papers using them slightly more. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | A — Who produces knowledge about AI | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021 | source_ids: SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021 |
| 7 | SOURCE TYPE | Peer-reviewed journal article | classes: PEER_REVIEWED_JOURNAL_ARTICLE |
| 8 | INSTITUTIONAL POSITION | Independent academic (University of Tübingen) | — |
| 9 | SCOPE | Three leading machine-learning conferences, 2015–2019 | — |
| 10 | DESIGN | Affiliation and acknowledgement coding; keyword counts for conflict-of-interest statements and social-impact terms | — |
| 11 | SAMPLE / DATASET | 10,772 papers searched (10,807 collected) | — |
| 12 | MODEL / TOOL / VERSION | Not applicable | — |
| 13 | COMPARATOR | Academic-only, industry-only and mixed papers | — |
| 14 | MAIN RESULT | Three papers with an explicit conflict-of-interest statement; 15–20% of academic-only papers name a company in their acknowledgements; social-impact terms differ by 3.1% (95% CI 0.2–6.0, p = 0.034), academic papers higher | — |
| 15 | INFERENTIAL TARGET | Disclosure of industry ties, and attention to social impact, in industry and academic machine-learning research | — |
| 16 | DOES NOT LICENSE | That industry research is as critical as academic research, or that acknowledged companies funded the work; keyword counts measure mention, not stance | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED PREPRINT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Read in arXiv version 2 (19 October 2020), which predates the AI & Society article; keyword proxies; affiliation term lists match about 90% of papers; technical venues only; data end in 2019 | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | LD08-SL-C04; LD08-SL-C10 | — |
| 20 | GEOGRAPHY / LANGUAGE | Global / English | — |
| 21 | DISTRIBUTIONAL LEDGER | Not analysed in this claim | — |
| 22 | R01 / FIELD-MAP LINKS | LD-08, D3 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | A study of stance, not keywords, or of disclosure after venues introduced required statements | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH PREPRINT QUALIFIER | state: ELIGIBLE · qualifiers: PREPRINT |
| 25 | RECORDED DATE | 2026-10-16 | — |
Field 22 references resolved against Field Map v0.2: LD-08 (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 89a74b78e7bbf2580cf282967bc7df89c0251439e50a7486c1a8a4aae16e16c1.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD08-SL-C09 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; 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 16 October 2026 to build the LD-08 debate; a new Claim, first version, written from the project's LD-08 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 09 — LD08-SL-C09” SHA-256
0ad1d10c6c025bc55a0a6b5829d3d3337f4edde61706dfbf8658f1db0de58d16; fixturefixtures/authored/claims/LD08-SL-C09--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD08-SL-C09 v1.0); the first version of a new Claim of the LD-08 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD08-SL-C09 v1.0" (Project Lead (Claude, AI), 2026-10-16); 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 16 October 2026 to build the LD-08 debate; a new Claim, first version, written from the project's LD-08 source notes, checked against full texts, official web pages or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021--v1.0 — basis: field 6 of ENTRY 09 — LD08-SL-C09 cites "Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021".