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Reproducibility materials for "Reconstructing Research Fields under Vocabulary Drift: An Auditable Boundary-Aware Bibliometric Workflow Applied to Empirical Legal Studies (2015–2026)"

2026-08-27 · Zenodo (CERN European Organization for Nuclear Research)

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An AI research paper on Reproducibility materials for "Reconstructing Research Fields under Vocabulary Drift: An Auditable Boundary-Aware Bibliometric Workflow Applied to Empirical Legal Studies (2015–2026)".

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Original abstract

This repository contains the complete reproducibility materials associated with the study “Reconstructing Research Fields under Vocabulary Drift: An Auditable Boundary-Aware Bibliometric Workflow Applied to Empirical Legal Studies (2015–2026)” The deposited materials support an updated bibliometric reconstruction based on OpenAlex records retrieved in 2026. The package includes the raw bibliographic records, documented screening decisions, processed corpora, methodological and applied subsets, computational-frontier sensitivity data, co-citation network data, bibliometric tables, analysis scripts, metadata, and documentation required to reproduce the main analyses. The study distinguishes a methodological core of Empirical Legal Studies from applied empirical legal research and from the emerging computational frontier involving natural language processing, machine learning, and large language models. The repository is intended to provide a transparent and auditable record of data retrieval, screening, classification, network construction, and bibliometric analysis. The deposited OpenAlex-based reconstruction should not be interpreted as a Scopus or Web of Science dataset. Database provenance, search strategy, inclusion criteria, and methodological limitations are documented in the accompanying files.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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