Reliability-Aware Triangulation: A Layered Framework for Combining Quantitative and Narrative Signals in Impact Measurement

A layered, reliability-aware framework for combining quantitative metrics and narrative text in impact measurement. The paper introduces an Evidence-Only Index and a transparent Impact Score designed to reduce circularity and score inflation while improving interpretability and robustness.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19342400
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Reliability-Aware Triangulation: A Layered Framework for Combining Quantitative and Narrative Signals in Impact Measurement

Xi Zhang, Leah(Yashu) Li
Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

Reliability-Aware Triangulation: A Layered Framework for Combining Quantitative and Narrative Signals in Impact Measurement

Xi Zhang, Leah(Yashu) Li
article en

Abstract

A layered, reliability-aware framework for combining quantitative metrics and narrative text in impact measurement. The paper introduces an Evidence-Only Index and a transparent Impact Score designed to reduce circularity and score inflation while improving interpretability and robustness.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 10%
Data Visualization and Analytics
DOIOpen Access PDFOpenAlex
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Reliability-Aware Triangulation: A Layered Framework for Combining Quantitative and Narrative Signals in Impact Measurement — Xi Zhang, Leah(Yashu) Li · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS