Authorship scores were highly concentrated near the maximum of the rubric scale¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
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 i? Authorship had the highest dimension mean (18.842), a median of 20.00, strong negative skewness (−2.771), and high kurtosis (7.979). → Shen 2026
Evidence¶
Shen 2026¶
Shen, N., Lee, L. S., and He, A. (2026). Generative AI in creative education: baseline-linked evidence on learning processes, artistic performance, and authorship. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1956939
q2 · i? · associational · r2
Descriptive statistics of the 133-case dataset (Table 1, Figure 1B) show authorship concentrated near the maximum 20-point score, while technique and completion retained wider dispersion with standard deviations above 2.00. These are descriptive values, not effect sizes.
"Authorship had the highest mean (18.842) and a median of 20.00, with strong negative skewness (−2.771) and high kurtosis (7.979)."
Discussion¶
Related Claims¶
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- Average H-scores rose from near-zero in pre-LLM offerings to 11.9 in Spring 2026, with maximum scores reaching 81 — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
authorship-ceiling-concentration |
title |
Authorship scores were highly concentrated near the maximum of the rubric scale |
description |
Authorship scores were highly concentrated near the maximum of the rubric scale |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — shen-2026 |
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