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GSCO: The Global Standard Classification of Occupations — A Deterministic Multilingual Database to Solve the N² Cross-Table Problem in International Occupation Classification

Domain:

socioeconomicnatural language processing

Record type:

datasetsoftware
Creator:
Dre
Publisher:
Zenodo
Host:avatar
GSCO (Global Standard Classification of Occupations) is a deterministic multilingual database that aggregates 129 national occupation classifiers into a single ISCO-08-aligned structure to expose and resolve cross-table incoherence. The paper documents the methodology, audits 22 common professions across all 9 ISCO major groups, and demonstrates concrete cases where national taxonomies diverge irreconcilably from ISCO-08 — including renumbered major groups (South Africa OFO 2017), parser-truncation bugs (Brunei BDSOC), and absent occupations (Togo zemidjan moto-taxi, Honduras moto-taxi forestal, Guatemala bicitaxis). Includes worked examples for ISCO 2221 (nurses vs financial brokers vs medical doctors), the universal teacher/taxi-driver case, and recommendations for the ILO's ISCO-28 working group (active revision phase 2026–2028). Open dataset and per-country reports at gsco.io. Repository: github.com

Visit

doi.org

Tags

ISCOISCO-08ISCO-28occupation classificationInternational Standard Classification of OccupationsILOInternational Labour OrganizationGSCOGlobal Standard Classification of Occupationsnational occupation registries+51

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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