Within-judge variance of the repeated LLM-judge rubric is negligible, but cross-model-family agreement remains untested¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · 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? Across thirty ablation cells, twenty-six had identical scores across three judge repetitions, with mean per-cell standard deviation 0.063 and Krippendorff's alpha approximately 0.97; cross-judge-family agreement is treated as a separate limitation. → Md Zabirul Islam 2026
Evidence¶
Md Zabirul Islam 2026¶
Md Zabirul Islam, Md Motaleb Hossen Manik, and Ge Wang. (2026). CourseBlueprint: A Structured Pipeline for Adaptive Pedagogical Video Generation Grounded in Course Corpora. arXiv preprint. https://arxiv.org/abs/2606.20608 doi:10.48550/arxiv.2606.20608
q2 · i? · design · r2
Reliability analysis of a single Gemini-Flash judge scored n=3 times across thirty cells (five topics, three PCK dimensions, two variants). The article reports mean per-cell standard deviation 0.063 and alpha approximately 0.97; these are reliability statistics, not effect sizes.
"The mean per-cell standard deviation is 0.063, and Krippendorff’s α [44], treating repetitions as raters, is approximately 0.97. Thus, within-judge variance is negligible at this rubric resolution, while cross-judge-family agreement remains the next required check."
Discussion¶
Related Claims¶
- Removing the engagement contract reduces judged engagement, adaptive scores, readability, and engagement-move counts in pedagogical video generation — related
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- Adding a cross-model agreement filter improves performance for the top three LLM annotators — related
- Gemini 2.0 Flash validated as a reliable LLM annotator of feedback focus types — related
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- The LLM-judge separates weak submissions but its ranking of the strongest systems has almost no agreement with crowd ranking (Spearman ρ = −0.17) — related
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
within-judge-stability-llm-rubric |
title |
Within-judge variance of the repeated LLM-judge rubric is negligible, but cross-model-family agreement remains untested |
description |
Within-judge variance of the repeated LLM-judge rubric is negligible, but cross-model-family agreement remains untested |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — md-zabirul-islam-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.