Golden Apple Russian Digital Debt Issuance: A Reliability-Sensitive Analysis Corpus
by MENG, WEI / WEI MENG Dataverse·Updated 17d ago
Available on 1 platform
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Description
63 public-source documents form the full corpus for a reliability-sensitive socio-technical systems analysis of Golden Apple's Russian digital financial asset issuance. The dataset, authored by MENG, WEI and last updated in June 2026, includes coding files, reliability materials, and reproducible scripts. It supports transparent evidence auditing, document-level ordinal coding, and three-coder reliability analysis.
Use Cases
Conducting reliability analysis based on the three-coder reliability materials
Performing source-restriction robustness testing based on the graded source tables
Auditing evidence transparency based on the public-source corpus and coding files
Recoding construct boundaries based on the PA v4 / PA v5 recoding scripts
Strengths
Full corpus contains 63 public-source documents for analysis
A/B-only factual corpus consists of 34 high-grade sources (20 A-grade and 14 B-grade)
Includes reproducibility scripts for robustness checks and recoding
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
Data excludes customer-level transaction data, investor records, and personal data as noted in the description
Provenance
Source
WEI MENG Dataverse
Collection Method
Compiled from public-source documents for a reliability-sensitive analysis.
Freshness
Last updated 2026-06-11 10:51:01; freshness should be verified
Geography
Russia
License is unknown and should be verified before use.