claim: ts-claim-c1-scifact-no-global-truth
Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository
This data as json
| id | statement | domain | status | falsify | novelty_vs_graph | about_lom_id | quote | quote_locus | created_ts |
|---|---|---|---|---|---|---|---|---|---|
| ts-claim-c1-scifact-no-global-truth | Given a fixed scientific corpus, a claim is not assigned a global truth label; verification is a SUPPORTS / REFUTES / NOINFO relation on each claim–abstract pair, because a global label would require systematic review. | CS / NLP / metascience | proposed | If a later primary methods paper shows a single corpus-level truth bit can be assigned without systematic review and still match a team-of-experts systematic-review verdict at high agreement on SciFact-style claims, then Wadden et al.’s §2 reason for refusing a global label does not hold. | Literature-grounded restatement of SciFact’s task definition vs ingested paper doi:10.18653/v1/2020.emnlp-main.609, not a model-invented title. | doi:10.18653/v1/2020.emnlp-main.609 | While SCIFACT claims are indeed verifiable assertions about scientific findings, accurately assigning a global truth label to a scientific claim (given a fixed scientific corpus) requires a systematic review by a team of experts. In this work we focus on the simpler task of assigning SUPPORTS or REFUTES relations to individual claim-abstract pairs. | Wadden et al. 2020 §2 PDF (Anthology 2020.emnlp-main.609.pdf) | 2026-09-01T22:28:39Z |