This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 21–22 of 22 papers
Hannah Mosmans, Stella Ebbersmeyer, Jolien Kruit +3
This paper provides a structured analysis of climate-related transition risks in the global shipping industry, categorizing them into litigation, policy, contractual, technological, and social risks. It highlights their interdependencies an…
Marie Fricaudet, Tristan Smith, Nishatabbas Rehmatulla
This paper develops a ship-level framework to assess climate transition risk under the IMO Net Zero Framework, considering regulatory, technological, and market uncertainty. Using a large ensemble of futures, it finds high and heterogeneous…
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