Code and Data for “Being Ranked in a Material World: The Visual Originality of an Artwork and Its Effects on the Artist’s Canonization”

Official code and data release for the journal article "Being Ranked in a Material World: The Visual Originality of an Artwork and Its Effects on the Artist’s Canonization". The repository provides the data and statistical analysis code used to examine the relationship between computational measures of visual originality and long-term artist canonization across multiple evaluative regimes. GitHub repository: https://github.com/thefth/brmw Paper: Being Ranked in a Material World: The Visual Originality of an Artwork and Its Effects on the Artist’s Canonization Authors: Athanasios Efthymiou, Monika Kackovic, Stevan Rudinac, Marcel Worring, and Nachoem Wijnberg (University of Amsterdam) Journal: Organization Studies (2026) Citation If you use this code or data, please cite the journal article and this artifact. @article{efthymiou2026brmw, author = {Efthymiou, Athanasios and Kackovic, Monika and Rudinac, Stevan and Worring, Marcel and Wijnberg, Nachoem}, title = {Being Ranked in a Material World: The Visual Originality of an Artwork and Its Effects on the Artist’s Canonization}, journal = {Organization Studies}, year = {2026}, doi = {10.1177/01708406251397720} } What’s Included This release contains: Statistical Analysis Code: Python code and Jupyter notebooks used to reproduce the statistical analyses and regression models reported in the article. Predicting Artistic Success Dataset: Dataset linking computational measures of visual originality with indicators of long-term artist canonization across expert, peer, and market evaluative regimes. License MIT License (code). Dataset released under CC BY 4.0.