Claims

Lower model performance on Prompt 2 tracks poor inter-annotator agreement (QWK 0.560 vs 0.758)

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

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? All models, including the XGBoost regressor, perform worst on Prompt 2, which the authors attribute to poor inter-annotator QWK agreement of 0.560 versus an average of 0.758 on other prompts. → Pakhi Bamdev 2023

Evidence

Pakhi Bamdev 2023

Pakhi Bamdev, Manraj Singh Grover, Yaman Kumar Singla, Payman Vafaee, Mika Hama, Rajiv Ratn Shah. (2023). Automated Speech Scoring System Under The Lens Evaluating and interpreting the linguistic cues for language proficiency. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00291-5

q2 · i? · design · r2

Observational analysis in the Results section linking per-prompt model performance to human inter-annotator agreement. Prompt 2 showed "poor inter-annotator QWK agreement of 0.560" against an average of 0.758 across other prompts; the authors label the reason probable.

"The probable reason for that can be attributed to the poor inter-annotator QWK agreement of 0.560 compared to the average QWK of 0.758 across the other prompts."

Discussion

Page metadata
Field Value
type claim
id prompt2-low-performance-tracks-annotator-agreement
title Lower model performance on Prompt 2 tracks poor inter-annotator agreement (QWK 0.560 vs 0.758)
description Lower model performance on Prompt 2 tracks poor inter-annotator agreement (QWK 0.560 vs 0.758)
status review
evidence_strength weak
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — pakhi-bamdev-2023

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