Core-Ed Edu-QuRater scores vary sensibly with education-level metadata on out-of-sample materials (marginal Pearson correlations 0.62 and 0.64; six-dimension cross-validated R2 of 0.449)¶
Claim · All claims
Evidence · 1 study · associationalr2·q2·i3large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i3 On ~15,800 external educational materials, Overall Education Level and Primary-level Suitability scores correlate with education-level metadata at r = 0.62 and r = 0.64, and a linear model combining all six dimensions achieves a cross-validated R2 of 0.449. → Garrod 2026
Evidence¶
Garrod 2026¶
Garrod, O. G. B., Ince, R. A. A., Liu, M., Huti, M., Boos, M., Waldock, A., Andrews, D., Alonso-Kropil, R., & Atherton, P. (2026). Edu-QuRating: Multi-Dimensional Educational Data Curation with Distilled Pairwise Judgements. arXiv. https://arxiv.org/abs/2609.09425 doi:10.48550/arxiv.2609.09425
q2 · i3 · associational · r2
Correlational analysis of Edu-QuRater scores on ~15,800 out-of-sample educational materials with reliable metadata annotations, separate from the distillation corpus. The article reports marginal Pearson correlations of r = 0.62 and r = 0.64 for the two strongest dimensions, and a cross-validated R2 of 0.449 for the combined six-dimension model.
"Marginal Pearson correlations between education level metadata and Core-Ed dimensions are highest for these two dimensions (0.62 and 0.64 respectively). A linear model of education level metadata which combines all six dimensions achieved a cross-validatedR2 of 0.449"
Discussion¶
Related Claims¶
- Core-Ed dimensions capture part of the FineWeb-Edu scalar signal while remaining not individually redundant with it (six-dimension cross-validated R2 of 0.228) — related
- The pairwise-distillation procedure transfers to foundational-literacy scoring, with Gemma-3-4B-PT validation losses of 0.128 (student-facing) and 0.175 (teacher-facing) — related
- Edu-QuRaters recover held-out GPT-4.1-mini pairwise educational preferences from single-text scores, with mean accuracy rising from 0.895 (Sheared-LLaMA-1.3B) to 0.917 (Gemma-3-4B-PT) — related
- Cross-validation-selected hyperparameters generalized to the test set only for Situation and Clarity, with the other four dimensions showing CV–test misalignment — related
- Distillation validation loss decreases sharply from 20k to 200k pairwise examples and plateaus beyond 200k for the Sheared-LLaMA-1.3B base model — related
- In matched single-run 1B pre-training comparisons, all Edu-QuRating-based mixtures reach higher observed aggregate accuracy at 30k steps than the FineWeb-Edu baseline, with gains concentrated in specific tasks — related
- In held-out pairwise judge evaluation, combining Edu-QuRater and answer-structure GRPO rewards yields the highest pedagogical-quality win rate (81.08%) while retaining instruction-following above parity (68.24%) against the Qwen3-4B base model — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
core-ed-scores-track-education-level-metadata |
title |
Core-Ed Edu-QuRater scores vary sensibly with education-level metadata on out-of-sample materials (marginal Pearson correlations 0.62 and 0.64; six-dimension cross-validated R2 of 0.449) |
description |
Core-Ed Edu-QuRater scores vary sensibly with education-level metadata on out-of-sample materials (marginal Pearson correlations 0.62 and 0.64; six-dimension cross-validated R2 of 0.449) |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — garrod-2026 |
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