PAPER 7: QUALITY ASSURANCE AT COGNITIVE SCALE - ASSESSMENT METHODS AND COMPRESSION METRICS; 10-Paper Series on Compressed Communication & Cognitive Acceleration; Paper 7 of 10: Assessment Methods & Quality Verification

Comprehensive assessment framework for RRC-AI System Writing quality assurance addressing measurement of compression quality rigorously. Multi-dimensional approach integrating: Compression metrics (ratio, density, efficiency), Semantic fidelity (AI embedding similarity, human judgment rubric, material fact preservation), Accessibility (reading ease, clarity, comprehensibility), Professional acceptance (expert judgment), Practitioner competency. Documents that high compression does NOT correlate with fidelity loss—best practitioners maintain 90%+ fidelity at 20:1+ compression. Establishes quality thresholds: 90% semantic fidelity minimum (85% for accessibility-prioritized domains). Provides rubrics applicable across domains. Validates metrics on 50 texts showing strong reliability and validity.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-07
DOI
https://doi.org/10.5281/zenodo.17554471
Primary Topic
Text Readability and Simplification
Type
article
Field-Weighted Citation Impact
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article

PAPER 7: QUALITY ASSURANCE AT COGNITIVE SCALE - ASSESSMENT METHODS AND COMPRESSION METRICS; 10-Paper Series on Compressed Communication & Cognitive Acceleration; Paper 7 of 10: Assessment Methods & Quality Verification

Zenodo (CERN European Organization for Nuclear Research)
Text Readability and Simplification
article

PAPER 7: QUALITY ASSURANCE AT COGNITIVE SCALE - ASSESSMENT METHODS AND COMPRESSION METRICS; 10-Paper Series on Compressed Communication & Cognitive Acceleration; Paper 7 of 10: Assessment Methods & Quality Verification

article en

Abstract

Comprehensive assessment framework for RRC-AI System Writing quality assurance addressing measurement of compression quality rigorously. Multi-dimensional approach integrating: Compression metrics (ratio, density, efficiency), Semantic fidelity (AI embedding similarity, human judgment rubric, material fact preservation), Accessibility (reading ease, clarity, comprehensibility), Professional acceptance (expert judgment), Practitioner competency. Documents that high compression does NOT correlate with fidelity loss—best practitioners maintain 90%+ fidelity at 20:1+ compression. Establishes quality thresholds: 90% semantic fidelity minimum (85% for accessibility-prioritized domains). Provides rubrics applicable across domains. Validates metrics on 50 texts showing strong reliability and validity.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 23%
Text Readability and Simplification
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