Claims

LLM-generated 7C collaboration assessment scores fall within the range of human expert variability across ten discussions

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · 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? Adding the LLM as an additional rater did not reduce overall inter-rater agreement (alpha .637 vs .639), and LLM scores deviated less from the human mean than human scores deviated from each other (MAD 8.79 vs 10.25). → Dawei Xie 2026

Evidence

Dawei Xie 2026

Dawei Xie, Khalil Anderson, Tochukwu Eze, Chenghong Lin, Bookyung Shin, and Marcelo Worsley. (2026). CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy. https://arxiv.org/abs/2605.17259 doi:10.48550/arxiv.2605.17259

q2 · i? · design · r2

Score-level agreement study comparing LLM and human expert 7C assessments of 10 discussions, each scored 0-100 per dimension by 2-3 independent raters. The article reports "overall MAD:8.79vs.10.25on the 100-point scale" favoring the LLM, and overall Krippendorff's alpha essentially unchanged when the LLM was added (.637 vs .639).

"In absolute terms, LLM-produced scores deviated less from the human mean than individual human scores deviated from each other (overall MAD:8.79vs.10.25on the 100-point scale)."

Dawei Xie 2026 (2)

Dawei Xie, Khalil Anderson, Tochukwu Eze, Chenghong Lin, Bookyung Shin, and Marcelo Worsley. (2026). CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy. https://arxiv.org/abs/2605.17259

q2 · i? · design · r2

Spearman correlation between LLM scores and human mean scores across the 10 discussions and 70 dimension-level assessments; the article reports "overallρ=.701,p < .001", with Conflict (.765), Communication (.760), and Climate (.711) strongest and Context weakest (.259).

"LLM-produced scores’ rank-ordering of discussions tracked human consensus on most dimensions(overallρ=.701,p < .001)."

Discussion

Page metadata
Field Value
type claim
id llm-7c-scores-within-expert-variability
title LLM-generated 7C collaboration assessment scores fall within the range of human expert variability across ten discussions
description LLM-generated 7C collaboration assessment scores fall within the range of human expert variability across ten discussions
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 2 — dawei-xie-2026, dawei-xie-2026-2

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