Blind expert raters judged VeriForge passages as conveying stronger perceived authorial domain competence, with other quality dimensions showing uncorrected trends¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr1–r2·q2·i3large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i3 Perceived authorial domain competence was rated higher for VeriForge (M=4.58 vs M=3.58; r=.818) and remained significant after FDR correction. → Ruqi Sun 2026
q2 i? Natural integration (M=4.92 vs M=4.25; q=.065) and specificity (M=4.17 vs M=3.54; q=.065) showed positive trends that did not survive correction; the uncorrected composite favored VeriForge in 10 of 12 pairs. → Ruqi Sun 2026 (2)
Evidence¶
Ruqi Sun 2026¶
Ruqi Sun, Jiaping Li, Wenhui Tao, Ximing Zheng, Yuefeng Tan, Jiahao Wei, and Yuxin Ma. (2026). VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffolding. https://arxiv.org/abs/2608.09698 doi:10.48550/arxiv.2608.09698
q2 · i3 · causal · r2
Blind expert rating by two published authors of anonymized story snippets on 7-point scales across three verisimilitude-informed dimensions; printed effect size r=.818; single-rater absolute-agreement ICCs were moderate (ICC(A,1)=0.53–0.59).
"Only perceived authorial domain competence remained significant after correction ( 𝑀= 4.58vs. 𝑀= 3.58; 𝑊= 2.5, 𝑝=. 005,𝑞=. 015,𝑟=. 818)."
Ruqi Sun 2026 (2)¶
Ruqi Sun, Jiaping Li, Wenhui Tao, Ximing Zheng, Yuefeng Tan, Jiahao Wei, and Yuxin Ma. (2026). VeriForge: Mitigating Latent Knowledge Gaps in Narrative Drafting via Mixed-Initiative Scaffolding. https://arxiv.org/abs/2608.09698
q2 · i? · causal · r1
Composite expert rating from the same blind evaluation (printed r=.770); both raters independently assigned higher scores to VeriForge snippets in the same 10 pairs despite moderate scoring variance. Word count did not differ (p=.532).
"The composite score was higher for VeriForge (𝑀= 4.56vs. 𝑀= 3.79; 𝑝=. 005,𝑟=. 770), with 10 of 12 pairs favoring the system; this composite test was uncorrected."
Discussion¶
Related Claims¶
- VeriForge raises perceived creativity support and lowers workload relative to a same-retrieval baseline, with mixed survival after correction — related
- Proactive flow-aware highlighting helps fiction writers recognize latent knowledge gaps they would not search for on their own — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
veriforge-expert-domain-grounding-ratings |
title |
Blind expert raters judged VeriForge passages as conveying stronger perceived authorial domain competence, with other quality dimensions showing uncorrected trends |
description |
Blind expert raters judged VeriForge passages as conveying stronger perceived authorial domain competence, with other quality dimensions showing uncorrected trends |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — ruqi-sun-2026, ruqi-sun-2026-2 |
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